Conference Schedule

Conference Schedule

2nd International Conference on Information and Knowledge Management (CIKM)
Burlingame, CA, USA. Oct 27 – Nov 1, 2013

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  • Schedule overview
  • Main Conference Program
  • Demos
  • Workshops
  • Tutorials
Schedule overview
October 27th, Sunday
Full day Workshop:AKBC
(Bayside 3)
October 28th, Monday
Full day Workshop:AKBC
(Bayside 3)
(Salons A-E)
(Bayside 2)
Morning Tutorial:Statistical Relational Learning(canceled)
(Marina Del Rey)
Tutorial:Causality analysis in large-scale time series data
Tutorial:Twitter and the real world
(Newport Beach)
Tutorial: Large scale similarity learning and indexing
(Santa Babara)
Tutorial: Entity resolution in the web of data
(San Ramon)
(Salons F-J)
Afternoon Tutorial: Real-time bidding: a new frontier of computational advertising research
(Marina Del Rey)
Tutorial: Beyond skylines and top-k queries: representative databases and e-commerce product search
Tutorial: Outlier detection for temporal data
(Newport Beach)
Tutorial:Techniques for scalable privacy-preserving record linkage
(Santa Babara)
Tutorial: Large scale machine learning for information retrieval
(San Ramon)
(Salons F-J)
October 29th, Tuesday

10 Demos will be presented on this day.

8:30am – 8:50am
Conference opening (Ballroom)
8:50am – 9:50am
Keynote talk by Dr. Lee Giles: Scholarly Big Data: Information Extraction and Data Mining(Grand Ballroom)
9:50am – 10:05am
Coffee break
10:05am – 12:10pm Full Session 1 -DB – Search(Grand Ballroom) Full Session 2 -IR Track – Retrieval Models(Bayside 2) Full Session 3 -IR Track – Entities (Bayside 3) Full Session 4 -KM Track – Social networks (1) (Irvine) Full Session 5 -KM Track – Mining topics(Newport Beach) Full Session 6 -KM Track – Pattern mining and applications(San Ramon)
12:10pm – 1:40pm
Conference lunch
1:40pm – 3:45pm Full Session 7 -DB Track – Data Streams and Probabilistic Queries (Grand Ballroom) Full Session 8 -IR Track – Search Engines(Bayside 2) Full Session 9 -IR Track – Networks(Bayside 3) Full Session 10 -KM Track: Social Networks (2)(Irvine) Full Session 11 -KM Track: Mining big data(Newport Beach) Full Session 12 -KM Track: Ontologies (San Ramon)
3:45pm – 4:00pm
Coffee break
4:00pm – 6:05pm Full Session 13 -KM Track: Mobile and event mining(Grand Ballroom) Full Session 14 -IR Track – Evaluation(Bayside 2) Short Paper Session 15 – IR Track (Bayside 3) Short Paper Session 16 – DB Track – Data Streams and Ranking (Irvine) Short Paper Session 17 – KM Track: Graphs and networks(Newport Beach) Short Paper Session 18 – KM Track: Clusters, topics and similarity (San Ramon)
6:20pm – 9:00pm
Conference Welcome Reception and Posters (Grand Ballroom)
October 30th, Wednesday

11 Demos will be presented on this day.

8:30am – 9:30am
Keynote talk by Dr. Alon Halevy: Structured Data in Web Search (Grand Ballroom)
9:30am – 9:45am
Coffee break
9:45am – 11:50am Full Session 19 -DB Track – Graphs and Social Networks(Anaheim) Full Session 20 -IR Track – Data Classification(Bayside 2) Full Session 21 -KM Track: Networks(Bayside 3) Full Session 22 -KM Track: Mining reviews and wiki (Irvine) Full Session 23 -IR Track – Applications I(Newport Beach) Poster Session 24 – DB+IR1(San Ramon)
11:50pm – 1:20pm
Conference lunch
1:20pm – 3:25pm Industry Session 25 – Two talks(Bayside 2) Full Session 26 -IR Track – Ranking(Anaheim) Full Session 27 -KM Track: Learning and applications (1)(Bayside 3) Full Session 28 -KM Track: Similarity, clustering, and outlier mining(Irvine) Full Session 29 -IR Track – Applications II(Newport Beach) Poster Session 30 – KM Track(San Ramon)
3:25pm – 3:40pm
Coffee break
3:40pm – 5:55pm Industry Session 31 – Two talks(Bayside 2) Short Paper Session 32 – DB Track – Graphs and Storage Systems(Anaheim) Short Paper Session 33 – KM Track: Social networks and media (Bayside 3) Short Paper Session 34 – KM Track: Text(Irvine) Short Paper Session 35 – IR Track (Newport Beach) Poster Session 36 – IR2 (San Ramon)
6:10pm – 6:30pm
Best Paper Award Announcement (Grand Ballroom)
6:30pm – 10:00pm
Conference Banquet (Grand Ballroom)
October 31st, Thursday
8:30am – 9:30am
Keynote talk by Dr. Ronald Fagin: Applying Theory to Practice (Grand Ballroom)
9:30am – 9:45am
Coffee break
9:45am – 12:15pm Industry Session 37 -Three talks(Grand Ballroom) Full Session 38 -DB Track – Miscellaneous(Bayside 2) Full Session 39 -IR Track – Users(Bayside 3) Full Session 40 -KM Track: Extraction and text mining(Irvine) Full Session 41 -KM Track: Community and web mining(Newport Beach) Full Session 42 -KM Track: Learning and applications (2)(San Ramon)
12:15pm – 1:45pm
Conference lunch
1:45pm – 2:45pm
Keynote talk by Dr. Carlos Guestrin: Usability in Machine Learning at Scale with GraphLab(Grand Ballroom)
2:45pm – 3:45pm
Panel session (Grand Ballroom):
Channeling the Deluge: Research Challenges for Big Data and Information Systems

  • Jiawei Han (University of Illinois at Urbana-Champaign)
  • Alon Halevy (Google Research)
  • Lee Giles (Pennsylvania State University)
  • Jure Leskovec (Stanford University)
  • Marti Hearst (University of California, Berkeley)
  • Paul Bennett (Microsoft Research)
3:45pm – 4:00pm
Coffee break
4:00pm – 6:15pm Industry Session 49 -Three talks(Grand Ballroom) Short Paper Session 50 – DB Track – Query Processing and Privacy (Bayside 2) Short Paper Session 51 – IR Track (Bayside 3) Short Paper Session 52 – IR Track (Irvine) Short Paper Session 53 – KM Track: Entities, tags, and time series (Newport Beach) Short Paper Session 54 – KM Track: Mining and learning(San Ramon)
November 1st, Friday
Full day Workshop:DTMBIO
Workshop: LL
(Bayside 2)
Workshop: UEO
(Bayside 3)
(Newport Beach)
Morning Workshop:Web-KR
(Marina Del Rey)
Workshop: PIKM
(San Ramon)
LinkedIn On-campus Student Event

Time schedule of workshops/tutorials:

  • Morning: 9AM to 10:30AM: Part 1; 10:30AM to 11AM: break; 11AM to 12:30PM: part 2
  • Lunch time: 12:30PM to 1:30PM
  • Afternoon: 1:30PM to 3PM: part 1; 3PM to 3:30PM: break; 3:30PM to 5PM: part 2
Main Conference Program
October 29th, Tuesday

Full Session 1 – DB – Search
Time: 10:05am – 12:10pm
Room: Grand Ballroom
Chair: Kyuseok Shim

  • 53: One Size Does Not Fit All: Multi-Granularity Search of Web Forums. Gayatree Ganu, Rutgers University; Amelie Marian, Rutgers University
  • 74: Spatial Search for K Diverse-Near Neighbors. Gregory Ference, Pennsylvania State University; Wang-Chien Lee, Penn State University; De-Nian Yang, Academia Sinica, Taipei, Taiwan; Hui-Ju Hung, Academia Sinica, Taipei, Taiwan
  • 81: Mining a Search Engine’s Corpus Without a Query Pool. Mingyang Zhang, George Washington University; Nan Zhang, George Wash. U; Gautam Das, University of Texas at Arlington
  • 98: G-Tree: An Efficient Index for KNN Search on Road Networks. Ruicheng Zhong, Tsinghua University; Guoliang Li, Tsinghua Univeristy; Kian-Lee Tan; Lizhu Zhou
  • 1167: Efficient Parsing-based Search over Structured Data. Aditya Parameswaran, Stanford University; Raghav Kaushik, Microsoft Research; Arvind Arasu, Microsoft Research

Full Session 2 – IR Track – Retrieval Models
Time: 10:05am – 12:10pm
Room: Bayside 2
Chair: Laura Dietz

  • 47: Graph-of-word and TW-IDF: New Approach to Ad Hoc IR. Francois Rousseau, Ecole Polytechnique; Michalis Vazirgiannis, Ecole Polytechnique
  • 93: Map Search via a Factor Graph Model. Qi Zhang, Fudan University; Jihua Kang; Yeyun Gong; Xuanjing Huang, Fudan University
  • 139: A Phased Ranking Model for Question Answering. Rui Liu, CMU; Eric Nyberg
  • 999: Supervised CRF Framework for Preference Aggregation. Maksims Volkovs, University of Toronto; Richard Zemel
  • 1185: CQARank: Jointly Model Topics and Expertise in Community Question Answering. Liu Yang, Peking University; Minghui Qiu, Singapore Management University; Swapna Gottipati,Singapore Management University; Feida Zhu, Singapore Management University; Jing Jiang, Singapore Management University; Huiping Sun, Peking University; Zhong Chen, Peking University

Full Session 3 – IR Track – Entities
Time: 10:05am – 12:10pm
Room: Bayside 3
Chair: Franco Maria Nardini

  • 228: Penguins in Sweaters, or Serendipitous Entity Search on User-generated Content. Yelena Mejova, Yahoo! Research Barcelona; Mounia Lalmas, Yahoo; Ilaria Bordino, Yahoo! Research
  • 255: Entity-Centric Document Filtering: Boosting Feature Mapping through Meta-Features. Mianwei Zhou, UIUC; Kevin Chang, University of Illinois, Urbana Champagne
  • 709: Structured Positional Entity Language Model for Enterprise Entity Retrieval. Chunliang Lu, The Chinese University of Hong; Lidong Bing, The Chinese University of Hong Kong; Wai Lam, The Chinese University of Hong Kong
  • 932: Learning relatedness measures for entity linking. Diego Ceccarelli, ISTI CNR; Claudio Lucchese; Salvatore Orlando, University of Venice; Raffaele Perego, ISTI – CNR; salvatore Trani, ISTI-CNR
  • 1053: Gem-based Entity-Knowledge Maintenance. Bilyana Taneva, Max-Planck Institute; Gerhard Weikum, MPI Saarbrocken, Germany

Full Session 4 – KM Track – Social networks (1)
Time: 10:05am – 12:10pm
Room: Irvine
Chair: Jalal U Mahmud

  • 62: Predicting User Activity Level in Social Networks. Yin Zhu, HKUST; Erheng Zhong, HKUST; Sinno Pan, Institute for Infocomm Research, Singapore ; Xiao Wang, Renren Inc.; Minzhe Zhou, Renren Inc.; Qiang Yang
  • 146: On Popularity Prediction of Videos Shared in Online Social Networks. Haitao Li, Simon Fraser University; Xiaoqiang Ma; Feng Wang; Jiangchuan Liu; Ke Xu
  • 307: Inferring Anchor Links across Multiple Heterogeneous Social Networks. Xiangnan Kong, Univ. of Illinois at Chicago; Jiawei Zhang, Univ. Illinois at Chicago; Philip Yu, University of Illinois at Chicago
  • 322: Community-Based User Recommendation in Uni-Directional Social Networks. Gang Zhao, NUS; Mong Li Lee, NUS; Wynne Hsu, National University of Singapore
  • 886: Personalized Influence Maximization on Social Networks. Guo Jing, BUPT; Zhang Peng

Full Session 5 – KM Track – Mining topics
Time: 10:05am – 12:10pm
Room: Newport Beach
Chair: Anitha Kannan

  • 71: Discovering Coherent Topics using General Knowledge. Zhiyuan Chen, Univ. of Illinois at Chicago; Arjun Mukherjee, University of Illinois at Chicago; Bing Liu, University of Illinois at Chicago; Meichun Hsu, HP Labs; Malu Castellanos, HP Labs; Riddhiman Ghosh, HP Labs
  • 186: Spatio-Temporal and Events based Analysis of Topic Popularity in Twitter. Amit Ruhela, IIT Delhi; Rudra Tripathy, IIT Delhi; Sipat Triukose, NICTA Australia; sebastien Ardon, NICTA Australia; Aaditeshwar Seth, IIT Delhi; Anirban Mahanti, NICTA Australia; Amitabha Bagchi, IIT, Delhi
  • 439: Domain-Dependent/Independent Topic Switching Model for Online Reviews with Numerical Ratings. Yasutoshi Ida, Waseda University; Takuma Nakamura, Waseda University, Graduate School of Advanced Science and Engineering; Takashi Matsumoto, Waseda University, Graduate School of Advanced Science and Engineering
  • 620: A Partially Supervised Cross-Collection Topic Model for Cross-Domain Text Classification. Yang Bao, NUS; Nigel Collier, NII; Anindya Datta, NUS
  • 1230: Content Coverage Maximization on Word Networks for Hierarchical Topic Summarization. Chi Wang, University of Illinois; Xiao Yu, University of Illinois at Urbana-Champaign; Yanen Li, University of Illinois; ChengXiang Zhai, UIUC; Jiawei Han, UIUC

Full Session 6 – KM Track – Pattern mining and applications
Time: 10:05am – 12:10pm
Room: San Ramon
Chair: Pauli Miettinen

  • 299: Mining Frequent Neighborhood Patterns in a Large Labeled Graph. Jialong Han, Renmin University of China; Ji-Rong Wen, Microsoft, USA
  • 590: A Two-Phase Algorithm for Mining Sequential Patterns with Differential Privacy. Luca Bonomi, Emory University; Li Xiong, Emory University, USA
  • 527: Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support. Lu Liu, Northwestern University; Jie Tang, Tsinghua U. China; Ankit Agrawal, Northwestern University; Wei-keng Liao; Alok Choudhary
  • 1024: Mining-Based Compression Approach of Propositional Formulae. Said Jabbour, CRIL, University of Artois; Lakhdar SAIS, CRIL, University of Artois; Yakoub Salhi, CRIL, University of Artois; Takeaki Uno, National Institute of Informatics, Tokyo, Japan
  • 1130: Correlating Medical-dependent Query Features with Image Retrieval Models Using Association Rules. Hajer Ayadi, ReDCAD; Mouna Torjmen, ReDCAD; Mariam Daoud; Maher Ben Jemaa, ReDCAD

Full Session 7 – DB Track – Data Streams and Probabilistic Queries
Time: 1:40pm – 3:45pm
Room: Grand Ballroom
Chair: Aditya Parameswaran

  • 60: Local Correlation Detection with Linearity Enhancement in Streaming Data. Qing Xie, KAUST; Shuo Shang, Aalborg University; Xiangliang Zhang, KAUST; Bo Yuan, Tsinghua University; Chaoyi Pang, CSIRO
  • 134: Efficient Processing of Streaming Graphs for Evolution-Aware Clustering. Mindi Yuan, University of Illinois at Urbana-Champaign; Kun-Lung Wu, IBM Watson Research Center; Gabriela Jacques-Silva, IBM T. J. Watson Research Center; Yi Lu, University of Illinois at Urbana-Champaign
  • 962: Searching Similar Segments over Textual Event Sequences. Liang Tang, Florida International Univ.; Tao Li, Florida International University; Yexi Jiang, FIU
  • 1022: RWS-Diff: Flexible and Efficient Change Detection in Hierarchical Data. Jan Finis, Technische Universitat Munchen; Martin Raiber, TU Munchen; Nikolaus Augsten, University of Salzburg; Robert Brunel, TU Munchen; Alfons Kemper, TU Munchen; Franz Farber, SAP
  • 263: Causality and Responsibility: Probabilistic Queries Revisited in Uncertain Databases. Xiang Lian, ; Lei Chen, Hong Kong University of Science and Technology

Full Session 8 – IR Track – Search Engines
Time: 1:40pm – 3:45pm
Room: Bayside 2
Chair: Barla Cabazoglu

  • 75: Locality Sensitive Hashing for Scalable Structural Classification and Clustering of Web Documents. Christian Hachenberg, WeST institute; Thomas Gottron, WeST institute, University of Koblenz-Landau, Germany
  • 415: An Index for Efficient Semantic Full-Text Search. Hannah Bast, University of Freiburg; Bjorn Buchhold, University of Freiburg
  • 918: Rank-Energy Selective Query Forwarding in Distributed Search Systems. Amin Teymorian, Georgetown University; Ophir Frieder, Georgetown University; Marcus A. Maloof, Georgetown University
  • 1048: Augmenting Web Search Surrogates with Images. Robert Capra, University of North Carolina; Jaime Arguello, University of North Carolina at Chapel Hill, USA; Falk Scholer, RMIT University
  • 663: Load-Sensitive Selective Pruning for Distributed Search. Nicola Tonellotto, ISTI-CNR; Fabrizio Silvestri, ISTI-CNR; Raffaele Perego, ISTI – CNR; Daniele Broccolo, ISTI-CNR; Salvatore Orlando, University of Venice; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University

Full Session 9 – IR Track – Networks
Time: 1:40pm – 3:45pm
Room: Bayside 3
Chair: Luo Si

  • 591: Building a large-scale corpus for Evaluating Event Detection on Twitter. Andrew McMinn, University of Glasgow; Yashar Moshfeghi, University of Glasgow; Joemon Jose, University of Glasgow
  • 874: On Sparsity and Drift for Effective Real-time Filtering in Microblogs. M-Dyaa Albakour, University of Glasgow; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University
  • 1116: Probabilistic Solutions of Influence Propagation on Networks. Miao Zhang, University of Texas at Arlingt; Chris Ding, University of Texas at Arlington
  • 671: Improving Pseudo-Relevance Feedback via Tweet Selection. Taiki Miyanishi, Kobe University; Kazuhiro Seki, Kobe University; Kuniaki Uehara, Kobe University
  • 257: Supporting Exploratory People Search. Shuguang Han, University of Pittsburgh; Daqing He; Jiepu Jiang, University of Pittsburgh; Zhen Yue

Full Session 10 – KM Track: Social Networks (2)
Time: 1:40pm – 3:45pm
Room: Irvine
Chair: Nan Zhang

  • 487: Location Prediction in Social Media Based on Tie Strength. Jeffrey McGee, Texas A&M; University; James Caverlee, Texas A&M;
  • 780: To Stay or Not to Stay: Modeling Engagement Dynamics in Social Graphs. Fragkiskos Malliaros, Ecole Polytechnique; Michalis Vazirgiannis, Ecole Polytechnique
  • 1158: UNIK: Unsupervised Social Network Spam Detection. Enhua Tan, LinkedIn; Lei Guo; Songqing Chen; Xiaodong Zhang; Yihong (Eric) Zhao
  • 1189: Modeling Dynamics of Meta-Populations with a Probabilistic Approach: Global Diffusion in Social Media. Minkyoung Kim, Australian National University; David Newth, The Commonwealth Scientific and Industrial Research Organisation; Peter Christen, ANU
  • 1266: Diffusion of Innovations Revisited: from Social Network to Innovation Network. Xin Rong, University of Michigan; Qiaozhu Mei, University of Michigan

Full Session 11 – KM Track: Mining big data
Time: 1:40pm – 3:45pm
Room: Newport Beach
Chair: Li Xiong

  • 447: StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. Suqi Cheng, ICT,China; Hua-wei Shen, ICT; Junming Huang, ICT,China; Xueqi Cheng, Chinese Academy of Sciences; Guoqing Zhang
  • 486: Online Multitasking – What Web Analytics think we do and what we really do. Janette Lehmann, Universitat Pompeu Fabra; Mounia Lalmas, Yahoo; Georges Dupret, Yahoo!; Ricardo Baeza-Yates
  • 500: PATRIC: A Parallel Algorithm for Counting Triangles in Massive Networks. Shaikh Arifuzzaman, Virginia Tech; Maleq Khan, Virginia Tech; Madhav Marathe, Virginia Tech
  • 805: An Efficient MapReduce Algorithm for Counting Triangles in a Very Large Graph. Ha-Myung Park, KAIST; Chin-Wan Chung, Division of Web Science and Technology, KAIST
  • 984: Parallel Motif Extraction from Very Long Sequences. Majed Sahli, KAUST; Essam Mansour, Qatar Computing Research Institute (QCRI); Panos Kalnis, KAUST

Full Session 12 – KM Track: Ontologies
Time: 1:40pm – 3:45pm
Room: San Ramon
Chair: Yong Ge

  • 378: The Logical Diversity of Explanations in OWL Ontologies. Samantha Bail, The University of Manchester; Bijan Parsia, The University of Manchester; Ulrike Sattler, The University of Manchester
  • 421: Ontology authoring with FORZA. C. Maria Keet, School of Mathematics, Statistics, and Computer Science, University of KwaZuluNa; Muhammad Tahir Khan, FBK; Chiara Ghidini, Fondazione Bruno Kessler
  • 501: Aligning Freebase with the YAGO Ontology. Elena Demidova, L3S Research Center; Iryna Oelze, ; Wolfgang Nejdl, Leibniz University Hannover
  • 698: PIDGIN: Ontology Alignment using Web Text as Interlingua. Derry Wijaya, CMU; Partha Talukdar, CMU; Tom Mitchell, CMU
  • 807: Mapping Adaptation Actions for the Automatic Reconciliation of Dynamic Ontologies. Julio DOS REIS, CRP Henri Tudor & Uni ParisSUD; Ba Duy DINH, CRP Henri Tudor; Cedric PRUSKI, CRP Henri Tudor; Marcos DA SILVEIRA, CRP Henri Tudor; Chantal Reynaud, LRI. University of Paris SUD

Full Session 13 – KM Track: Mobile and event mining
Time: 4:00pm – 6:05pm
Room: Grand Ballroom
Chair: Zhiwu Xie

  • 279: On Mining Mobile Apps Usage Behavior for Predicting Apps Usages in Smartphones. Zhung-Xun Liao, National Chiao Tung University; Yi-Chin Pan; Wen-Chih Peng; Po-Ruey Lei
  • 506: Ranking Fraud Detection for Mobile Apps: A Holistic View. Hengshu Zhu, USTC; Hui Xiong, Rutgers, the State University of New Jersey; Yong Ge, UNCC; Enhong Chen, Uni. of Sci. & Tech. of China
  • 524: AnchorMF: Towards Effective Event Context Identification. Hansu Gu, University of Colorado at Boul; Mike Gartrell, ; Liang Zhang; Qin Lv; Dirk Grunwald
  • 926: How the Live Web Feels About Events. George Valkanas, University of Athens; Dimitrios Gunopulos, University of Athens
  • 1030: Boolean Satisfiability for Sequence Mining. Said Jabbour, CRIL, University of Artois; Lakhdar SAIS, CRIL, University of Artois; Yakoub Salhi, CRIL, University of Artois

Full Session 14 – IR Track – Evaluation
Time: 4:00pm – 6:05pm
Room: Bayside 2
Chair: Yi Chang

  • 66: Users Versus Models: What Observation Tells Us About Effectiveness Metrics. Alistair Moffat, The University of Melbourne; Paul Thomas, CSIRO; Falk Scholer, RMIT University
  • 656: Evaluating Aggregated Search Using Interleaving. Aleksandr Chuklin, ISLA, University of Amsterdam; Anne Schuth, ISLA, University of Amsterdam; Katja Hofmann, ISLA, University of Amsterdam; Pavel Serdyukov, Yandex; Maarten de Rijke, University of Amsterdam
  • 369: Using Historical Click Data to Increase Interleaving Sensitivity. Eugene Kharitonov, Yandex; Craig Macdonald, Glasgow University; Pavel Serdyukov, Yandex; Iadh Ounis, Glasgow University
  • 431: On the Reliability and Intuitiveness of Aggregated Search Metrics. Ke Zhou, University of Glasgow; Mounia Lalmas, Yahoo; Tetsuya Sakai, Waseda university; Ronan Cummins, University of Greenwich; Joemon Jose, University of Glasgow
  • 1061: User Intent and Assessor Disagreement in Web Search Evaluation. Gabriella Kazai, Microsoft Research; Emine Yilmaz, UCL; Nick Craswell, Microsoft, USA; S.M.M. Tahaghoghi, Microsoft

Short Paper Session 15 – IR Track
Time: 4:00pm – 6:05pmm
Room: Bayside 3
Chair: Yuanhua Lv

  • 498: The Water Filling Model and The Cube Test: Multi-Dimensional Evaluation for Professional Search.
  • 13: Disinformation Techniques for Entity Resolution. Steven Whang, Stanford University; Hector Garcia-Molina, Stanford University
  • 72: Location Recommendation for Out-of-Town Users in Location-Based Social Networks. Gregory Ference, Pennsylvania State University; Mao Ye, ; Wang-Chien Lee, Penn State University
  • 84: Short text classification by detecting information path. Shitao Zhang, Tsinghua University; Xiaoming Jin; Dou Shen, ; Xuetao Ding; Xiaochen Zhang
  • 96: Personalized Point-of-Interest Recommendation by Mining Users’ Preference Transition. Xin Liu, EPFL; Yong Liu, Nanyang Technological University; Karl Aberer, EPFL; Chunyan Miao, Nanyang Technological University
  • 212: Proximity^2-aware Ranking for Textual, Temporal, and Geographic Queries. Jannik Strotgen, Heidelberg University; Michael Gertz, Heidelberg University
  • 213: Timely crawling of high-quality ephemeral new content. Damien Lefortier, Yandex; Liudmila Ostroumova, Yandex; Egor Samosvat, Yandex; Pavel Serdyukov, Yandex
  • 529: LearNext: Learning to Predict Tourists Movements. Ranieri Baraglia, ; Cristina Muntean, ISTI CNR; Franco Maria Nardini, ISTI-CNR, Pisa, Italy; Fabrizio Silvestri, ISTI-CNR
  • 225: Where Shall We Go Today? Planning Touristic Tours with TripBuilder. Chiara Renso, CNR; Franco Maria Nardini, ISTI-CNR, Pisa, Italy; Igo Brilhante, UFC; Jose de Macedo, UFC; Raffaele Perego, ISTI – CNR

Short Paper Session 16 – DB Track – Data Streams and Ranking
Time: 4:00pm – 6:05pm
Room: Irvine
Chair: Liang Tang

  • 20: Efficient Filtering and Ranking Schemes for Finding Inclusion Dependencies on the Web. Atsuyuki Morishima, University of Tsukuba; Erika Yumiya, University of Tsukuba; Masami Takahashi, University of Tsukuba; Shigeo Sugimoto, University of Tsukuba; Hiroyuki Kitagawa, University of Tsukuba
  • 519: A Generic Front-Stage for Semi-Stream Processing. Muhammad Asif Naeem, Auckland University of Technol; Gerald Weber, The University of Auckland; Gillian Dobbie, The University of Auckland; Christof Lutteroth, The University of Auckland
  • 814: Scalable Diversification of Multiple Search Results. Hina Khan, ; Marina Drosou, University of Ioannina; Mohamed Sharaf, University of Queensland
  • 898: Triangle Counting in a Massive Streaming Graph Using a Multicore Machine. Kanat Tangwongsan, IBM Research; A. Pavan, Iowa State University; Srikanta Tirthapura, Iowa State University
  • 929: Cache Refreshing for Online Social News Feeds. Xiao Bai, Yahoo! Labs; Flavio Junqueira, Microsoft Research ; Adam Silberstein, Trifacta
  • 319: A New Operator for Efficient Stream-Relation Join Processing in Data Streaming Engines. Roozbeh Derakhshan, Griffith University ; Abdul Sattar , Griffith University ; Bela Stantic, Griffith University
  • 461: SCISSOR: Scalable and Efficient Reachability Query Processing in Time-Evolving Hierarchies. Phani Rohit Mullangi, UGA; Lakshmish Ramaswamy

Short Paper Session 17 – KM Track: Graphs and networks
Time: 4:00pm – 6:05pm
Room: Newport Beach
Chair: Yinghui Wu

  • 114: Towards Metric Fusion on Multi-layer Graphs: A Cross-view based Graph Random Walk Approach. Yang Wang, UNSW; Xuemin Lin , University of New South Wales
  • 214: Discovering Latent Blockmodels in Sparse and Noisy Graphs using Non-Negative Matrix Factorisation. Jeffrey Chan, University of Melbourne; Wei Liu, NICTA; Andrey Kan, Walter and Eliza Hall Institute; Christopher Leckie, University of Melbourne; James Bailey, University of Melbourne; Ramamoharnarao Kotagiri, University of Melbourne
  • 628: Understanding the Roles of Sub-graph Features for Graph Classification: An Empirical Study Perspective. Ting Guo, QCIS,FEIT,UTS; Xingquan Zhu, University of Technology, Sydney
  • 677: PAGE: A Partition Aware Graph Computation Engine. Yingxia Shao, Peking University; junjie Yao, ; Bin Cui, Peking University; Lin Ma
  • 715: Active Exploration: Simultaneous Sampling and Labeling for Large Graphs. Meng Fang, UTS; Jie Yin, CSIRO; Xingquan Zhu, University of Technology, Sydney
  • 928: Local Clustering in Provenance Graphs. Peter Macko, Harvard University; Daniel Margo, Harvard University; Margo Seltzer, Harvard University
  • 1021: Content-Centric Flow Mining for Influence Analysis in Social Streams. Karthik Subbian, University of Minnesota; Charu Aggarwal , IBM Research-Watson; Jaideep Srivastava, University of Minnesota
  • 1085: Labels or Attributes? Rethinking the Neighbors for Collective Classification in Sparsely-Labeled Networks. Luke McDowell, U.S. Naval Academy; David Aha, Naval Research Laboratory

Short Paper Session 18 – KM Track: Clusters, topics and similarity
Time: 4:00pm – 6:05pm
Room: San Ramon
Chair: Emmanuel Muller

  • 44: Fast Parameterless Density-Based Clustering via Random Projections. Michail Vlachos, ; Johannes Schneider, IBM Research
  • 592: Mining Entity Attribute Synonyms via Compact Clustering. Yanen Li, University of Illinois; Paul Hsu, Microsoft Research, USA; Chengxiang Zhai, University of Illinois at Urbana Champaign; Kuansan Wang, Microsoft Research
  • 1181: Modeling Interaction Features for Debate Side Clustering. Minghui Qiu, Singapore Management Universit; Liu Yang, Peking University; Jing Jiang, Singapore Management University
  • 172: Dynamic Multi-Faceted Topic Discovery in Twitter. Jan Vosecky, HKUST; Di Jiang, HKUST; Kenneth Leung, HKUST; Wilfred Ng
  • 617: Mining Causal Topics in Text Data: Iterative Topic Modeling with Time Series Feedback. Hyun Duk Kim, UIUC; Malu Castellanos, HP Labs; Meichun Hsu, HP Labs; ChengXiang Zhai, UIUC; Thomas Rietz, The University of Iowa; Daniel Diermeier, Northwestern University
  • 791: Navigating the topical structure of academic search results via Wikipedia category network. Daniil Mirylenka, University of Trento; Andrea Passerini, University of Trento
  • 32: A Multimodal Framework for Unsupervised Feature Fusion. Xiaoyi Li, University at Buffalo; Jing Gao, Univ. of Buffalo; Hui Li; Le Yang; Rohini Srihari, University at Buffalo, State University of New York
  • 374: Probabilistic Semantic Similarity Measurements for Noisy Short Texts Using Wikipedia Entities. Masumi Shirakawa, Osaka University; Kotaro Nakayama, University of Tokyo; Takahiro Hara, Osaka University; Shojiro Nishio, Osaka University
October 30th, Wednesday

Full Session 19 – DB Track – Graphs and Social Networks
Time: 9:45am – 11:50am
Room: Anaheim
Chair: Phil Bohannon

  • 159: Linear-Time Enumeration of Maximal k-Edge-Connected Subgraphs in Large Networks by Random Contraction. Takuya Akiba, The University of Tokyo; Yoichi Iwata, The University of Tokyo; Yuichi Yoshida, National Institute of Informatics & Preferred Infrastructure, Inc.
  • 210: External memory bisimulation reduction of big graphs. Yongming Luo, TU/e; George H.L. Fletcher, TU/e; Jan Hidders, TU Delft; Yuqing Wu, Indiana University, Bloomington; Paul De Bra, TU/e
  • 661: Querying Graphs with Preferences. Valeria Fionda, Free University of Bolzano; Giuseppe Pirro, Free University of Bolzano
  • 824: Network-aware Search in Social Tagging Applications: Instance Optimality versus Efficiency. Bogdan Cautis, TELECOM Paris Tech; Silviu Maniu, Hong Kong University
  • 858: A Comparison of Two Physical Data Designs for Interactive Social Networking Actions. Sumita Barahmand, USC; Shahram Ghandeharizadeh, USC; Jason Yap, USC

Full Session 20 – IR Track – Data Classification
Time: 9:45am – 11:50amm
Room: Bayside 2
Chair: Dan Zhang

  • 121: Community Question Topic Categorization via Hierarchical Kernelized Classification. Wen Chan, Fudan University; Weidong Yang, Fudan University; JInhui Tang, Nanjing University of Science and Technology; Jintao Du, Fudan University; Xiangdong Zhou, Fudan University; Wei Wang
  • 410: Building Structures from Classifiers for Passage Reranking. Aliaksei Severyn, University of Trento; Massimo Nicosia, University of Trento; Alessandro Moschitti
  • 668: Uncovering Collusive Spammers in Chinese Review Websites. Chang Xu, Nanyang Technological University; Jie Zhang, Nanyang Technological University; Kuiyu Chang, Nanyang Technological University
  • 867: Towards Minimizing the Annotation Cost of Certified Text Classification. Mossaab Bagdouri, University of Maryland; William Webber, ; David David, David D. Lewis Consulting; Douglas Oard, University of Maryland
  • 118: A Heterogenous Automatic Feedback Semi-supervised Method for Image Reranking. Xin-Chao Xu; Xin-Shun Xu, Shandong University

Full Session 21 – KM Track: Networks
Time: 9:45am – 11:50am
Room: Bayside 3
Chair: Mounia Lalmas

  • 144: Accurate and scalable nearest neighbors in large networks based on effective importance. Petko Bogdanov*, UCSB; Ambuj Singh, UC Santa Barbara
  • 163: Spatial-Temporal Query Homogeneity for KNN Object Search on Road Networks. Ying-Ju Chen, National Taiwan University; Kun-Ta Chuang*, National Cheng Kung University; Ming-Syan Chen, National University of Taiwan
  • 326: Discovering Influential Authors in Heterogeneous Academic Networks by a Co-ranking Method. Qinxue Meng*, University of Technology, Sydney
  • 810: Entity Disambiguation in Anonymized Graphs Using Graph Kernels. Linus Hermansson, Chalmers Uni. of Technology; Tommi Kerola*, Chalmers Uni. of Technology; Fredrik Johansson, Chalmers Uni. of Technology; Vinay Jethava, Chalmers Univ. of Technology; Devdatt Dubhashi, Chalmers Univ. of Technology
  • 1264: Estimating the Relative Utility of Networks for Predicting User Activities. Nina Mishra, Microsoft; Daniel Romero*, ; Panayiotis Tsaparas

Full Session 22 – KM Track: Mining reviews and wiki
Time: 9:45am – 11:50am
Room: Irvine
Chair: Chengkai Li

  • 419: Exploring Weakly Supervised Latent Sentiment Explanations for Aspect-level Review Analysis. Lei Fang, Tsinghua University; Minlie Huang*, tsinghua univ
  • 851: Using Micro-Reviews to Select an Efficient Set of Reviews. Thanh-Son Nguyen, ; Hady W. Lauw*, Singapore Management University; Panayiotis Tsaparas
  • 957: Automatic Construction of Domain and Aspect Specific Sentiment Lexicons for Customer Review Mining. Juergen Bross, Freie University Berlin; Heiko Ehrig, Neofonie GmbH
  • 117: Wikification via Link Co-occurrence. Zhiyuan Cai, Shanghai Jiaotong University; Kaiqi Zhao, Shanghai Jiao Tong University; Kenny Zhu*, Shanghai Jiao Tong University; Haixun Wang, Microsoft
  • 816: Manipulation among the arbiters of collective intelligence: How Wikipedia administrators mold public opinion. Sanmay Das, Virginia Tech; Allen Lavoie*, Virginia Tech; Malik Magdon-Ismail, RPI

Full Session 23 – IR Track – Applications I
Time: 9:45am – 11:50am
Room: Newport Beach
Chair: Jun Wang

  • 130: Robust Question Answering over the Web of Linked Data. Mohamed Yahya, Max Planck Institute for Infor; Klaus Berberich, Max-Planck-Institut Informatik; Shady Elbassuoni, American University of Beirut; Gerhard Weikum, MPI Saarbrocken, Germany
  • 648: Expertise Retrieval in Bibliographic Network: A Topic Dominance Learning Approach. Seyyed Hadi Hashemi, Sharif University of Technolog; Mahmood Neshati, Sharif University of Technology; Hamid Beigy, Sharif University of Technology
  • 934: Instant Foodie: Predicting Expert Ratings From Grassroots. Chenhao Tan, Cornell University; Ed Chi, Google; David Huffaker, Google Inc.; Gueorgi Kossinets, Google Inc.; Alex Smola, Yahoo! Research
  • 1212: On Segmentation of eCommerce Queries. Nish Parikh, Ebay research labs; Prasad Sriram, eBay Search; Mohammad Hasan, IUPUI
  • 815: Scientific Articles Recommendation. Yingming Li, Zhejiang University; Ming Yang; Zhongfei (Mark) Zhang

Poster Session 24 – DB+IR1
Time: 9:45am – 11:50am
Room: San Ramon

  • 1302: MRPacker: An SQL to MapReduce Optimizer. �Xuelian Lin; Shuai Ma; Yue Ye
  • 1350: A Hybrid Privacy-Preserving Approach to Process KNN Query. Shixin Tian; Ying Cai; Qinghua Zheng
  • 1375: Flexible and extensible generation and corruption of personal data. Peter Christen; Dinusha Vatsalan
  • 1391: An Efficient and Robust Privacy Protection Technique for Massive Streaming Choice-based Information. Ji Zhang
  • 1402: RCached-tree: An Index Structure for Efficiently Answering Popular Queries. Debjyoti Paul
  • 1471: Label Constrained Shortest Path Estimation. Ankita Likhyani; Srikanta Bedathur
  • 1279: Feature-Based Models for Improving the Quality of Noisy Training Data for Relation Extraction. Benjamin Roth; Dietrich Klakow
  • 1280: Weighted Hashing for Fast Large Scale Similarity Search. Qifan Wang; Dan Zhang; Luo Si
  • 1291: Term Associations in Query Expansion: a Structural Linguistic Perspective. Mike Symonds; Peter Bruza; Guido Zuccon; Bevan Koopman; Laurianne Sitbon
  • 1295: Predicting Event-Relatedness of Popular Queries. Seyyedeh Newsha Ghoreishi; Aixin Sun
  • 1313: Modeling Latent Topic Interactions Using Quantum Interference for Information Retrieval. Alessandro Sordoni; Jing He; Jian-Yun Nie
  • 1315: Generalizing Diversity Detection in Blog Feed Retrieval. Mostafa Keikha; Fabio Crestani; Bruce Croft
  • 1316: Dynamic Query Intent Mining from a Search Log Stream. Yanan Qian; Tetsuya Sakai; Junting Ye; Qinghua Zheng; Cong Li
  • 1319: Latency-Aware Strategy for Static List Caching in Flash-based Web Search Engines. Jiancong Tong; Gang Wang; Xiaoguang Liu
  • 1324: Bootstrapping Active Name Disambiguation with Crowdsourcing. Yu Cheng; Zhengzhang Chen; Ankit Agrawal
  • 1325: Modeling Clicks Beyond the First Result Page. Aleksandr Chuklin; Pavel Serdyukov; Maarten de Rijke
  • 1333: Maintaining Discriminatory Power in Quantized Indexes. Matt Crane; Andrew Trotman; Richard O Keefe
  • 1342: Retrieving Opinions from Discussion Forums. Laura Dietz; Ziqi Wang; Samuel Huston; Bruce Croft
  • 1345: Retrieval of Trending Topics in a Peer-to-Peer Micro-blogging Social Network. H Asthana; Ingemar Cox
  • 1348: Can You Trust Online Ratings? A Mutual Reinforcement Model for a Trustable Online Rating System. Hyun-Kyo Oh; Sang-Wook Kim; Sunju Park
  • 1352: Exploiting Proximity Feature in Statistical Translation Models for Information Retrieval. Xinhui Tu
  • 1354: Position-Based Contextualization for Passage Retrieval. David Carmel; Anna Shtok; Oren Kurland
  • 1369: High Throughput Filtering using FPGA Acceleration. Wim Vanderbauwhede; Leif Azzopardi; Anton Frolov; Martin Margala; Sairahul Chalamalasetti
  • 1373: On challenges with mobile e-health lessons from a game-theoretic perspective. Ann-Marie Eklund
  • 1374: Improving Entity Search over Linked Data by Modeling Latent Semantics. Nikita Zhiltsov; Eugene Agichtein

Industry Session 25 – Two talks
Time: 1:20pm – 3:25pm
Room: Bayside 2

  • 01:20pm – 2:10pm: Hugh Williams. Challenges in Commerce Search
  • 02:10pm – 2:55pm: Rich Caruana. Clustering: Probably Approximately Useless?

Full Session 26 – IR Track – Ranking
Time: 1:20pm – 3:25pm
Room: Anaheim
Chair: Jin Young Kim

  • 337: Is Top-k Sufficient for Ranking?. Yanyan Lan; Shuzi Niu; Jiafeng Guo; Xueqi Cheng, Chinese Academy of Sciences
  • 603: How Fresh Do You Want Your Search Results?. Shiwen Cheng, UCR; Anastasios Arvanitis, UC Riverside; Vagelis Hristidis, University of California, Riverside
  • 721: TellMyRelevance! Predicting the Relevance of Web Search Results from Cursor Interactions.
  • 351: Selection Fusion in Semi-Structured Retrieval. Muhammad Norozi, NTNU; Paavo Arvola, University of Tampere
  • 732: Incorporating User Preferences into Click Models. Qianli Xing, Tsinghua University; Yiqun Liu

Full Session 27 – KM Track: Learning and applications (1)
Time: 1:20pm – 3:25pm
Room: Bayside 3
Chair: Yuchen Zhao

  • 262: Feedback-Driven Multiclass Active Learning for Data Streams. Yu Cheng*, Northwestern University; Jiang Wang, Northwestern University; Alok Choudhary, Northwestern University
  • 309: Discriminative Feature Selection for Multi-View Cross-Domain Learning. Zheng Fang*, Zhejiang University; Zhongfei (Mark) Zhang, SUNY Binghamton
  • 412: Functional Dirichlet Processes. Lijing Qin*, Tsinghua University; Xiaoyan Zhu,
  • 1097: Spatio-Temporal Meme Prediction: Learning What Hashtags Will Be Popular Where. Krishna Kamath*, Texas A & M University; James Caverlee, Texas A&M;
  • 1170: Cost-sensitive Learning for Large-scale Hierarchical Classification of Commercial Products. Jianfu Chen*, Stony Brook University; David Warren, Stony Brook University

Full Session 28 – KM Track: Similarity, clustering, and outlier mining
Time: 1:20pm – 3:25pm
Room: Irvine
Chair: Manish Marwah

  • 224: Effective Measures for Inter-Document Similarity. John Whissell*, University of Waterloo; Charlie Clarke, University of Waterloo
  • 253: Efficient Hierarchical Clustering of Large High Dimensional Datasets. Sean Gilpin*, UC Davis; Buyue Qian, ; Ian Davidson, University of California – Davis
  • 761: Flexible and Adaptive Subspace Search for Outlier Analysis. Fabian Keller*, KIT; Emmanuel Muller, Karlsruhe Institute of Technology (KIT); Andreas Wixler, ; Klemens Bohm
  • 801: Query Matching for Report Recommendation. Veronika Thost*, TU Dresden; Konrad Voigt; Daniel Schuster, TU Dresden
  • 841: Computing Term Similarity by Large Probabilistic isA Knowledge. Peipei Li*, Hefei University of Technology; Haixun Wang, Google Research; Kenny Zhu, Shanghai Jiao Tong University; zhongyuan Wang, Microsoft Research Asia; Xindong Wu, University of Vermont

Full Session 29 – IR Track – Applications II
Time: 1:20pm – 3:25pm
Room: Newport Beach
Chair: Vanessa Murdock

  • 422: Interactive Collaborative Filtering. Xiaoxue Zhao, UCL; Weinan Zhang, UCL; Jun Wang, UCL
  • 491: Building Optimal Information Systems Automatically: Configuration Space Exploration for Biomedical Information Systems. Zi Yang, Carnegie Mellon University; Eric Nyberg
  • 822: Learning to Handle Negated Language in Medical Records Search. Nut Limsopatham, University of Glasgow; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University
  • 854: A Pattern-Based Selective Recrawling Approach for Object-Level Vertical Search. Yaqian Zhou, Fudan University; Qi Zhang, ; Xuanjing Huang, Fudan University; Lide Wu
  • 1076: Robust Models of Mouse Movement on Dynamic Web Search Results Pages. Fernando Diaz, Microsoft, US; Ryen White, Microsoft Research; Dan Liebling, Microsoft; Georg Buscher, Microsoft

Poster Session 30 – KM Track
Time: 1:20pm – 3:25pm
Room: San Ramon

  • 5: Cross-Domain Sparse Coding. Jim Jing-Yan Wang; Halima Bensmail
  • 140: Grammar Inference for Large Spatial Trajectories. Arnold Boedihardjo; Jessica Lin; Tim Oates; Crystal Chen; Susan Frankenstein; Sunil Gandhi
  • 1273: LCMKL: Latent-Community and Multi-Kernel Learning based image annotation. Qing Li; Yun Gu; Xueming Qian
  • 1282: Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs. Yusheng Xie
  • 1292: Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction. Dong Li; Zhiming Xu; Sheng Li; Yishu Luo; Xin Sun; Anika Gupta; Katia Sycara
  • 1311: Predicting ReTweet Count Using Visual Cues. Ethem F. Can; Huseyin Oktay; R. Manmatha
  • 1328: Identifying Multilingual Wikipedia Articles based on Cross Language Similarity and Activity. Khoi-Nguyen Tran; Peter Christen
  • 1332: An Efficient and Accurate Algorithm for Approximating Betweenness Centrality. Mostafa Haghir Chehreghani
  • 1334: Exploiting Collaborative Filtering Techniques for Automatic Assessment of Student Free-text Responses. Tao Ge; Zhifang Sui; Baobao Chang
  • 1335: Automated Probabilistic Modeling for Relational Data. Sameer Singh; Thore Graepel
  • 1338: Semantic Discovery from Web Comparison Queries. Tingting Zhong; Wensheng Wu
  • 1340: Joint Learning on Sentiment and Emotion Classification. Wei Gao; Shoushan Li; Sophia Yat Mei Lee; Zhou Guodong,; Chu-Ren Huang
  • 1341: A Unified Graph Model for Personalized Query-Oriented Reference Paper Recommendation. Fanqi Meng; Dehong Gao; Wenjie Li; Xu Sun; Yuexian Hou
  • 1347: Probabilistic Latent Class Models for Predicting Student Performance. Suleyman Cetintas; Luo Si; Yan Ping Xin; Ron Tzur
  • 1355: Timeline Adaptation for Text Classification. Fumiyo Fukumoto; Yoshimi Suzuki; Atsuhiro Takasu
  • 1359: Recommendation via Users Personality and Social Contextual. He Feng; Xueming Qian
  • 1376: A Fast Convergence Clustering Algorithm Merging MCMC and EM Methods. David Matusevich; Carlos Ordonez
  • 1380: Discrimination-aware classification for imbalanced datasets. Goce Ristanoski; Wei Liu; James Bailey
  • 1383: Incremental Shared Nearest Neighbor Density-Based Clustering. Sumeet Singh; Amit Awekar
  • 1387: The Essence of Knowledge (Bases) through Entity Rankings. Evica Ilieva; Sebastian Michel; Aleksandar Stupar
  • 1398: Chinese Syntactic Parsing Based on Linguistic Entity-Relationship Model. Dechun Yin
  • 1399: Clustering-Based Anomaly Detection in Multi-View Data. Alejandro Marcos Alvarez; Makoto Yamada; Akisato Kimura; Tomoharu Iwata
  • 1411: Discovering Relations using Matrix Factorization Methods. Ervina Cergani; Pauli Miettinen
  • 1418: On Exploiting Content and Citations Together to Compute Similarity of Scientific Papers. Masoud Reyhani Hamedani; Sang-Chul Lee; Sang-Wook Kim
  • 1436: Taxonomy-based Regression Model for Cross-Domain Sentiment Classification. Cong-Kai Lin; Yang-Yin Lee; Chi-Hsin Yu; Hsin-Hsi Chen
  • 1438: Reconciliation of Categorical Opinions from Multiple Sources. Adway Mitra; Srujana Merugu
  • 1453: An Unsupervised Transfer Learning Approach to Discover Topics for Online Reputation Management. Tamara Martin; Julio Gonzalo; Enrique Amigo
  • 1458: Discovering Facts with Boolean Tensor Tucker Decomposition. Dora Erdos; Pauli Miettinen
  • 1473: Intelligent SSD: A Turbo for Big Data Mining. Duck-Ho Bae; Jin-Hyung Kim; Sang-Wook Kim; Hyunok Oh
  • 1484: Software Plagiarism Detection: A Graph-based Approach. Dong-Kyu Chae; Jiwoon Ha; Boo-Joong Kang; Eul-Gyu Im
  • 1485: Objectionable Content Filtering by Click-Through Data. Lung-Hao Lee; Yen-Cheng Juan; Hsin-Hsi Chen; Yuen-Hsien Tseng

Industry Session 31 – Two talks
Time: 3:40pm – 5:55pm
Room: Bayside 2

  • 03:40pm – 4:25pm: Ted Dunning . Which Learning Algorithms Really Matter (Industrially)?
  • 3:40pm – 5:55pm: Deepak Agarwal. Computational Advertising: The LinkedIn Way

Short Paper Session 32 – DB Track – Graphs and Storage Systems
Time: 3:40pm – 5:55pm
Room: Anaheim
Chair: Shahram Ghandeharizadeh

  • 90: Graph Similarity Search with Edit Distance Constraint in Large Graph Databases. Weiguo Zheng, Peking University; Lei Zou; Xiang Lian; Dong Wang; Dongyan Zhao
  • 169: Fast and Scalable Reachability Queries on Graphs by Pruned Labeling with Landmarks and Paths. Yosuke Yano, The University of Tokyo; Takuya Akiba, The University of Tokyo; Yoichi Iwata, The University of Tokyo; Yuichi Yoshida, National Institute of Informatics & Preferred Infrastructure, Inc.
  • 388: Graph Hashing and Factorization for Fast Graph Stream Classification. Ting Guo, QCIS,FEIT,UTS; Xingquan Zhu,University of Technology, Sydney; Lianhua Chi, QCIS,FEIT,UTS
  • 394: Efficiently Anonymizing Social Networks with Reachability Preservation. Xiangyu Liu, Northeastern University; bin wang, ; Xiaochun Yang, Northeastern University
  • 494: ImG-Complex: Graph Data Model for Topology of Unstructured Meshes. Alireza Rezaei Mahdiraji, Jacobs-University; Peter Baumann, Jacobs University; Guntram Berti, Consulting Mathematical Methods (CMM)
  • 969: ROU: Advanced Keyword Search on Graph. Yifan Pan, Indiana University; Yuqing Wu, Indiana University, Bloomington
  • 331: HotnessAware Buffer Management for Flashbased Hybrid Storage Systems. Yanfei Lv, Peking University; Bin Cui, Peking University; Xuexuan Chen, Peking University; Jing Li
  • 1154: Expedited Rating of Data Stores Using Efficient Data Loading Techniques. Sumita Barahmand, USC; Shahram Ghandeharizadeh, USC

Short Paper Session 33 – KM Track: Social networks and media
Time: 3:40pm – 5:55pm
Room: Bayside 3
Chair: Jeffrey Chan

  • 119: Social Recommendation Incorporating Topic Mining and Social Trust Analysis. Tong Zhao*, Tsinghua University; Chunping Li, Tsinghua University; Mengya Li, Tsinghua University
  • 347: Originator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis. Xin Zhao*, PKU; Jinpeng Wang, PKU; Yulan He, ; Jian-Yun Nie, Univeristy of Montreal
  • 510: An Effective Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. Guoqiong Liao*, Univ. of Illinois at Chicago; Yuchen Zhao, Univ. of Illinois at Chicago; sihong Xie, Univ. of Illinois at Chicago; Philip S. Yu
  • 581: Predicting Trends in Social Networks via Dynamic Activeness Model. Shuyang Lin*, University of Illinois at Chicago; Xiangnan Kong, Univ. of Illinois at Chicago; Philip S. Yu
  • 600: Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes. Liangda Li*, Georgia Institute of Technolog; Hongyuan Zha, Georgia Tech, USA
  • 643: Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks. Huiji Gao*, Arizona State University; Jiliang Tang, ; Xia Hu, ; Huan Liu, Arizona State University
  • 798: Social Media News Communities: Gatekeeping, Coverage, and Statement Bias. Diego Saez-Trumper*, Universitat Pompeu Fabra; Carlos Castillo, QCRI; Mounia Lalmas, Yahoo
  • 1089: Toward Public Health Surveillance: Discovering Health-Related Knowledge in Social Media Using Heterogeneous Semantic-Enhanced Features. Suppawong Tuarob*, Pennsylvania State University; Conrad Tucker, Pennsylvania State University; Marcel Salathe, Pennsylvania State University; Nilam Ram, Pennsylvania State University
  • 1155: Seeking Provenance of Information in Social Media. Pritam Gundecha*, Arizona State University; Zhuo Feng, Arizona State University; Huan Liu, Arizona State University

Short Paper Session 34 – KM Track: Text
Time: 3:40pm – 5:55pm
Room: Irvine
Chair: Krishna Y. Kamath

  • 305: Compact Explanatory Opinion Summarization. Hyun Duk Kim*, UIUC; Malu Castellanos, HP Labs; Meichun Hsu, HP Labs; Chengxiang Zhai, University of Illinois at Urbana Champaign; Umesh Dayal, HP Labs; Riddhiman Ghosh, HP Labs
  • 325: Towards an Enhanced and Adaptable Ontology by Distilling and Assembling Online Encyclopedias. Shan Jiang, Peking University; Yan Zhang*, Peking University
  • 342: Assessing Sparse Information Extraction using Semantic Contexts. Peipei Li*, Hefei University of Technology; Haixun Wang, Google Research; Hongsong Li, Microsoft Research Asia; Xindong Wu, University of Vermont
  • 474: Studying from Electronic Textbooks. Rakesh Agrawal, Microsoft Research; Sreenivas Gollapudi, Microsoft Research; Anitha Kannan, Microsoft Research; Krishnaram Kenthapadi*, Microsoft Research
  • 579: Generating Informative Snippet to Maximize Item Visibility. Mahashweta Das*, Univ of Texas at Arlington; habibur Rahman, University of Texas at Arlington; Gautam Das, University of Texas at Arlington; Vagelis Hristidis, University of California, Riverside
  • 604: Assessing Quality Score of Wikipedia Articles using Mutual Evaluation of Editors and Texts. Yu Suzuki*, Nagoya University; Masatoshi Yoshikawa, Kyoto University
  • 623: Concept-Based Analysis of Scientific Literature. Chen-Tse Tsai*, UIUC; Gourab Kundu, ; Dan Roth
  • 637: On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter stream. Saptarshi Ghosh*, IIT Kharagpur; MPI-SWS; Muhammad Bilal Zafar, MPI-SWS; Parantapa Bhattacharya, IIT Kharagpur, MPI-SWS; Naveen Sharma, University of Washington; Niloy Ganguly, IIT Kharagpur, India; Krishna Gummadi, MPI-SWS
  • 1064: Can Back-of-the-Book Indexes be Automatically Created?. Zhaohui Wu*, Pennsylvania State University; Zhenhui Li, Penn State University; Prasenjit Mitra, Penn State; C. Lee Giles

Short Paper Session 35 – IR Track
Time: 3:40pm – 5:55pm
Room: Newport Beach
Chair: Xuanjing Huang

  • 243: Directing Exploratory Search with Interactive Intent Modeling. Tuukka Ruotsalo, Aalto University; Jaakko Peltonen, Aalto University; Manuel Eugster, ; Dorota Glowacka, University of Helsinki; Ksenia Konyushkova, University of Helsinki; Kumaripaba Athukorala, University of Helsinki; Ilkka Kosunen, University of Helsinki; Aki Reijonen, University of Helsinki; Petri Myllymaki, University of Helsinki; Giulio Jacucci, University of Helsinki; Samuel Kaski, Aalto University
  • 258: FRec: A Novel Framework of Recommending Users and Communities in Social Media. Lei Li, Florida International Univ.; Wei Peng, Xerox Corporation; Saurabh Kataria, Xerox Corporation; Tong Sun, Xerox Corporation; Tao Li, Florida International University
  • 272: Permutation Indexing: Fast Approximate Retrieval from Large Corpora. Maxim Gurevich, Google; Tamas Sarlos, Google
  • 318: Clustering-based Transduction for Learning a Ranking Model with Limited Human Labels. XIN ZHANG, UCAS; Ben He, UCAS
  • 330: Exploiting Ranking Factorization Machines for Microblog Retrieval. Runwei Qiang, Peking University; Feng Liang; Jianwu Yang
  • 367: Learning Compact Hashing Codes for Efficient Tag Completion and Prediction. Qifan Wang, Purdue University; Lingyun Ruan, Purdue University; Zhiwei Zhang, Purdue University; Luo Si, Purdue University
  • 385: How Do Users Grow Up Along With Search Engines? A Study of Long-term Users Behavior. Jian Liu, Tsinghua University, China; Yiqun Liu; Min Zhang, Tsinghua Univeristy, China; Shaoping Ma
  • 411: LR-PPR: Locality-Sensitive, Re-use Promoting, Approximate Personalized PageRank Computation. Jung Hyun Kim, ASU; K. Selcuk Candan, Arizona State University; Maria Sapino, University of Torino
  • 417: Multimedia Summarization for Trending Topics in Microblogs. Jingwen Bian, NUS; Yang Yang, National University of Singapore; Tat-Seng Chua, NUS Singapore

Poster Session 36 – IR2
Time: 3:40pm – 5:55pm
Room: San Ramon

  • 1390: Semi-Supervised Discriminative Preference Elicitation for Cold-Start Recommendation. Xi Zhang; Jian Cheng; Ting Yuan; Biao Niu; Hanqing Lu
  • 1401: Exploiting the Query Term Correlation for List Caching in Web Search Engines. Jiancong Tong; Gang Wang; Xiaoguang Liu
  • 1405: Speller Performance Prediction for Query Autocorrection. Alexey Baytin; Irina Galinskaya; Marina Panina; Pavel Serdyukov
  • 1408: Predicting the Impact of Expansion Terms Using Semantic and User Interaction Features. Anton Bakhtin; Yury Ustinovskiy; Pavel Serdyukov
  • 1413: QBEES: Query by Entity Examples. Steffen Metzger; Ralf Schenkel; Marcin Sydow
  • 1427: Learning to Selectively Rank Patients’ Medical History. Nut Limsopatham; Craig Macdonald; Iadh Ounis
  • 1428: A Belief Propagation Approach for Detecting Shilling Attacks in Collaborative Filtering. Jun Zou; Faramarz Fekri
  • 1437: Automated Snippet Generation for Online Advertising. Stamatina Thomaidou; Panagiotis Katsivelis-Perakis; Ismini Lourentzou; Michalis Vazirgiannis
  • 1441: Detecting Controversy on the Web. Shiri Dori-Hacohen; James Allan
  • 1445: Mining User Interest from Search Tasks and Annotations. Sampath Jayarathna; Atish Patra; Frank Shipman
  • 1446: Generating Comparative Summaries from Reviews. Ruben Sipos; Thorsten Joachims
  • 1448: Zero-Shot Video Retrieval Using Content and Concepts. Jeff Dalton; James Allan
  • 1449: Diversified Query Expansion using ConceptNet. Arbi Bouchoucha; Jing He; Jian-Yun Nie
  • 1451: An Empirical Study of Top-N Recommendation for Venture Finance. Thomas Stone; Weinan Zhang; Xiaoxue Zhao
  • 1461: “Interest” Mining from User Tweets. Thuy Vu; Victor Perez
  • 1464: An Analysis of Crowd Workers Mistakes for Specific and Complex Relevance Assessment Task. Jesse Anderton; Maryam Bashir; Virgil Pavlu; Javed Aslam
  • 1472: Combining Prestige and Relevance Ranking for Personalized Recommendation. Xiao Yang
  • 1474: Strategies for Setting Time-to-Live Values in Result Caches. Fethi Sazoglu; Berkant Barla Cambazoglu; Rifat Ozcan; Ismail Altingovde; Ozgur Ulusoy
  • 1477: Learning to Detect Task Boundaries of Query Session. Zhang Zhenzhong
  • 1478: Early Prediction on Imbalanced Multivariate Time Series. Guoliang He; Yong Duan; Tieyun Qian; Xu Cheng
  • 1479: Exploiting Trustors as Well as Trustees in Trust-based Recommendation. Won-Seok Hwang; Shaoyu Li; Sang-Wook Kim; Ho-Jin Choi
  • 1480: Through-the-looking glass: utilizing rich post-search trail statistics for web search. Gleb Gusev; Alexey Tolstikov; Mikhail Shakhray; Pavel Serdyukov
  • 1482: Topical Authority Propagation on Microblogs. Yi Fang; Juan Hu; Archana Godavarthy
  • 1483: The Importance of Being Socially-Savvy: Quantifying the Influence of Social Networks on Microblog Retrieval. Alexander Kotov; Eugene Agichtein
  • 1487: Flexible and Dynamic Compromises for Effective Recommendations. Saurabh Gupta; Sutanu Chakraborti
October 31st, Thursday

Industry Session 37 – Three talks
Time: 9:45am – 12:15pm
Room: Grand Ballroom

  • 09:45am – 10:30am: Andrew Ng. The Online Revolution: Education for Everyone
  • 10:30am – 11:15am: Jeff Hawkins. Online Learning from Streaming Data
  • 11:15am – 12:00pm: Kevin Murphy. From Big Data to Big Knowledge

Full Session 38 – DB Track – Miscellaneous
Time: 9:45am – 12:15pm
Room: Bayside 2
Chair: Hank Korth

  • 247: “All Roads Lead to Rome:” Optimistic Recovery for Distributed Iterative Data Processing. Sebastian Schelter, Technische University Berlin; Stephan Ewen, Technische University Berlin; Kostas Tzoumas, TU Berlin; Volker Markl, Technische University Berlin
  • 311: Optimizing Plurality for Human Intelligence Tasks. Luyi Mo, University of Hong Kong; Reynold Cheng, University of Hong Kong; Ben Kao, The University of Hong Kong; Xuan Yang; Chenghui Ren; Siyu Lei; Eric Lo, The Hong Kong Polytechnic University; David Cheung, University of Hong Kong
  • 552: Entropy-based Histograms for Selectivity Estimation. Hien To, USC; Cyrus Shahabi; Kuorong Chiang
  • 636: Efficient Two-Party Private Blocking based on Sorted Nearest Neighborhood Clustering. Dinusha Vatsalan, ANU; Peter Christen, ANU; Vassilios Verykios, Hellenic Open University
  • 820: Context Aware Top-k Processing using Views. Bogdan Cautis, TELECOM Paris Tech; Silviu Maniu, Hong Kong University
  • 1242: Locality Sensitive Hashing Revisited: Filling the Gap Between Theory and Algorithm Analysis. Hongya Wang, Donghua University

Full Session 39 – IR Track – Users
Time: 9:45am – 12:15pm
Room: Bayside 3
Chair: Georges Dupret

  • 168: Personalization of Web-search Using Short-term Browsing Context. Yury Ustinovskiy, Yandex; Pavel Serdyukov, Yandex
  • 504: Factors Affecting Aggregated Search Coherence and Search Behavior. Jaime Arguello, University of North Carolina at Chapel Hill, USA; Robert Capra, University of North Carolina; Wan-Ching Wu
  • 1176: Improving Passage Ranking with User Behavior Information. Weize Kong, University of Massachusetts; Elif Aktolga, University of Massachusetts Amherst; James Allan, University of Massachusetts, Amherst
  • 251: Models of Search Satisfaction for Individuals and Cohorts. Ahmed Hassan, Microsoft Research; Ryen White, Microsoft Research
  • 252: Characterizing the Relation between Query Sequences and User Satisfaction. Ahmed Hassan, Microsoft Research; Xiaolin Shi, Microsoft; Nick Craswell, Microsoft, USA Bill Ramsey, Microsoft
  • 585: Unsupervised Identification of Synonymous Query Intent Templates for Attribute Intents. Yanen Li, University of Illinois; Paul Hsu, Microsoft Research, USA Chengxiang Zhai, University of Illinois at Urbana Champaign

Full Session 40 – KM Track: Extraction and text mining
Time: 9:45am – 12:15pm
Room: Irvine
Chair: Hongrae Lee

  • 670: Web News Extraction via Path Ratios. Gongqing Wu*, Hefei University of Technology; Li Li, Hefei University of Technology; Xuegang Hu, [email protected]; Xindong Wu, [email protected]
  • 111: Toward Advice Mining: Advanced Conditional Random Fields for Extracting Advice-revealing Text Unit. Alfan Wicaksono*, KAIST; Sung-Hyon Myaeng, KAIST
  • 666: Information Extraction as a Filtering Task. Henning Wachsmuth*, University of Paderborn; Benno Stein, ; Gregor Engels,
  • 598: Lead-Lag Analysis via Sparse Co-Projection in Correlated Text Streams. Fangzhao Wu*, Tsinghua University; Yangqiu Song, HKUST; Liu Shixia, Microsoft Research Asia; Huang Yongfeng, Tsinghua University
  • 875: Adaptive Co-Training SVM for Sentiment Classification on Tweets. Shenghua Liu*, ICT, CAS; Fuxin Li, ; Fangtao Li, Google Inc. Beijing, China; Xueqi Cheng, Chinese Academy of Sciences
  • 611: On Handling Textual Errors in Latent Document Modeling. Tao Yang, Penn State University; Dongwon Lee*, Penn State University

Full Session 41 – KM Track: Community and web mining
Time: 9:45am – 12:15pm
Room: Newport Beach
Chair: David F. Gleich

  • 350: Overlapping Community Detection Using Seed Set Expansion. Joyce Jiyoung Whang*, University of Texas, Austin; David F. Gleich, Purdue University; Inderjit S. Dhillon, University of Texas, Austin
  • 584: TODMIS: Mining Communities from Trajectories. Siyuan Liu, Carnegie Mellon University; Shuhui Wang, ICT, CAS; Kasthuri JEYARAJAH, SMU; archan Misra, Singapore Management University; Ramayya Krishnan, Carnegie Mellon University
  • 561: Archiving the Relaxed Consistency Web. Zhiwu Xie, Virginia Tech; Herbert Van de Sompel, Los Alamos National Laboratory; Liu Jinyang, Howard Hughes Medical Institute; Johann van Reenen, University of New Mexico; Ramiro Jordan, University of New Mexico
  • 946: Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic. William Yang Wang*, Carnegie Mellon University; Kathryn Mazaitis, Carnegie Mellon University; William Cohen, Carnegie Mellon University
  • 560: Toward Faster and Better Retrieval Models for Question Search. Guangyou ZHOU*, Institute of Automation; Jun Zhao, IBM; Yubo Chen, IBM

Full Session 42 – KM Track: Learning and applications (2)
Time: 9:45am – 12:15pm
Room: San Ramon
Chair: Abhishek Mukherji

  • 27: Nonparametric Bayesian Multitask Collaborative Filtering. Sotirios Chatzis, Cyprus University of Technolog
  • 476: Local-to-Global Semi-Supervised Feature Selection. Mohammed Hindawi, INSA of Lyon; Khalid Benabdeslem*, University of Lyon1 – LIRIS
  • 878: Intelligently Querying Incomplete Instances for Improving Classification Performance. Karthik Sankaranarayanan*, IBM Research; Amit Dhurandhar, IBM Research
  • 1075: A Probabilistic Mixture Model for Mining and Analyzing Product Search Log. Yong Liu, Tianjin University; Guoliang Shi, Tianjin University; Shizhong Liao*, Tianjin University
  • 1201: Eigenvalues Perturbation of Integral Operator for Kernel Selection. Huizhong Duan*, UIUC; ChengXiang Zhai, UIUC; Jinxing Cheng, WalmartLabs; Abhishek Gattani, WalmartLabs

Industry Session 49 – Three talks
Time: 4:00pm – 6:15pm
Room: Grand Ballroom

  • 04:00pm – 4:45pm: Xavier Amatriain. Beyond Data: From User Information to Business Value Through Personalized Recommendations and Consumer Science
  • 04:45pm – 5:30pm: Chris Farmer. Leveraging Data to Change Industry Paradigms
  • 05:30pm – 6:15pm: Kai Yu . Large-scale Deep Learning at Baidu

Short Paper Session 50 – DB Track – Query Processing and Privacy
Time: 4:00pm – 6:15pm
Room: Bayside 2
Chair: Kanat Tangwongsan

  • 601: Query Execution Timing: Taming Real-time Anytime Queries on Multicore Processors. Chunyao Song, University of Massachusetts, Lowell; Zheng Li, University of Massachusetts, Lowell; Tingjian Ge, Univ. of Massachusetts, Lowell; Jie Wang, University of Massachusetts, Lowell
  • 184: Wondering why data are missing from query results? Ask Conseil Why-Not.
  • 195: Fast Evaluation of Iceberg Pattern-Based Aggregate Queries. Zhian He, Hong Kong Polytechnic University; Petrie Wong, Hong Kong Polytechnic University; Ben Kao, The University of Hong Kong; Eric Lo, The Hong Kong Polytechnic University; Reynold Cheng, University of Hong Kong
  • 289: TopDown Keyword Query Processing on XML Data. Junfeng Zhou, Yanshan University; Xingmin Zhao, Yanshan University; Wei Wang, University of New South Wales; Ziyang Chen, Yanshan University; Jeffrey Xu Yu, Chinese University of Hong Kong
  • 575: Efficient Pruning Algorithm for Top-K Ranking on Dataset with Value Uncertainty. Jianwen Chen, Tsinghua University; Ling Feng
  • 674: Merged Aggregate Nearest Neighbor Query Processing in Road Networks. Weiwei Sun; Chong Chen, Fudan University; Baihua Zheng; Chunan Chen; Liang Zhu; Weimo Liu; Yan Huang
  • 679: SkyView: a user evaluation of the skyline operator. Ira Assent; Kasper Hornbaek; Mikkel Jacobsen; Ken Friis Larsen; Matteo Magnani, CNR, Italy
  • 649: UMicS: From Anonymized Data to Usable MicroData. Graham Cormode, ; Magda Procopiuc, AT&T; Labs Research; Divesh Srivastava, ; Xi Gong, ; Entong Shen, ; Ting Yu, North Carolina State Universit

Short Paper Session 51 – IR Track
Time: 4:00pm – 6:15pm
Room: Bayside 3
Chair: Alistair Moffat

  • 426: GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. Yue Shi, Delft University of Technology; Alexandros Karatzoglou, Telefonica Research; Linas Baltrunas, Telefonica Research; Martha Larson, Delft University of Technology; Alan Hanjalic, Delft University of Technology
  • 428: URL Tree: Efficient unsupervised content extraction from streams of Web documents. Borut Sluban, Jozef Stefan Institute; Miha Grcar, Jozef Stefan Institute
  • 463: Estimating Document Focus Time. Adam Jatowt, Kyoto University; Ching-man Au Yeung; Katsumi Tanaka, Kyoto University
  • 533: Faceted Models of Blog Feeds. Lifeng Jia, UIC; Clement Yu, University of Illinois at Chicago; Weiyi Meng, Binghamton University
  • 669: SRbench-A Benchmark for Soundtrack Recommendation Systems. Aleksandar Stupar, Saarland University; Sebastian Michel, Saarland University
  • 690: CV-PCR: A Context-Guided Value-Driven Framework for Patent Citation Recommendation. Sooyoung Oh, Penn State University; Zhen Lei, Penn State University; Wang-Chien Lee, Penn State University; Prasenjit Mitra, Penn State; John Yen, Penn State University
  • 788: Modeling Behavioral Factors in Interactive Information Retrieval. Feza BASKAYA, UTA; Heikki Keskustalo, UTA; Kalervo Jarvelin, UTA
  • 800: Intent Models for Contextualising and Diversifying Query Suggestions. Eugene Kharitonov, Yandex; Craig Macdonald, Glasgow University; Pavel Serdyukov, Yandex; Iadh Ounis, Glasgow University
  • 220: Building User Profiles from Topic Models for Personalised Search. Morgan Harvey, University of Lugano; Fabio Crestani, Universita della Svizzera Italiana, CH; Mark Carman, Monash University

Short Paper Session 52 – IR Track
Time: 4:00pm – 6:15pm
Room: Irvine
Chair: Elena Demidova

  • 872: Transferring Knowledge with Source Selection to Learn IR Functions on Unlabeled Collections. Parantapa Goswami, LIG, University Joseph Fourier; Massih-Reza Amini, LIG, University Joseph Fourier; Eric Gaussier, LIG, University Joseph Fourier
  • 951: Understanding Web Search Interactions with Dynamic Results Generated using Implicit Feedback. Jinyoung Kim, Microsoft; Mark Cramer, Surf Canyon; Jaime Teevan, Microsoft Research; Dmitry Lagun, Emory University
  • 970: Facet Selection Algorithms for Web Product Search. Facet Selection Algorithms for Web Product Search”, “Damir Vandic, Erasmus University Rotterdam; Flavius Frasincar, Erasmus University Rotterdam; Uzay Kaymak, Eindhoven University of Technology
  • 990: Learning Deep Structured Semantic Models for Web Search using Clickthrough Data. Po-Sen Huang, University of Illinois at Urbana-Champaign; Xiaodong He, Microsoft Research; Jianfeng Gao, Microsoft Research; Li Deng, Microsoft Research; Alex Acero, Microsoft Research; Larry Heck, Microsoft Research
  • 1018: Learning Open-domain Comparable Entity Graphs from User Search Queries. Ziheng Jiang; Lei Ji; Jianwen Zhang, Microsoft Research Asia; Jun Yan
  • 1050: RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement. Srijith Ravikumar, Arizona State University; Karthik Talamadupula, Arizona State University; Raju Balakrishnan, Groupon Inc; Subbarao Kambhampati, Arizona State University
  • 1144: Incorporating the Surfing Behavior of Web Users into PageRank. Shatlyk Ashyralyev, Bilkent University; Berkant Barla Cambazoglu, Yahoo! Research Barcelona, Spain; Cevdet Aykanat, Bilkent University
  • 1229: Question Routing to User Communities. Aditya Pal, IBM Research; Fei Wang, IBM; Jeffrey Nichols; Michelle Zhou; Barton Smith, IBM
  • 1241: Learning to Rank for Question Routing in Community Question Answering. Zongcheng Ji, ICT,CAS; Bin Wang

Short Paper Session 53 – KM Track: Entities, tags, and time series
Time: 4:00pm – 6:15pm
Room: Newport Beach
Chair: Karthik Sankaranarayanan

  • 451: Re-ranking for Joint Named-Entity Recognition and Linking. Avirup Sil*, Temple University; Alexander Yates, Temple University
  • 458: Identifying Salient Entities in Web Pages. Michael Gamon, Microsoft Research; Tae Yano, ; Xinying Song, Microsoft Research; Johnson Apacible, Microsoft Research; Patrick Pantel*, Microsoft Research
  • 935: Recommending Tags with a Model of Human Categorization. Paul Seitinger, TU-Graz; Dominik Kowald, Know-Center; Christoph Trattner*, Graz University of Technology; Tobias Ley, TLU
  • 1123: Automatically Generating Descriptions for Resources by Tag Modeling. Bin Bi*, UCLA; Junghoo Cho , UCLA
  • 789: Mining Characteristic Multi-Scale Motifs in Sensor-Based Time Series. Ugo Vespier*, LIACS, Leiden University; Siegfried Nijssen, LIACS, Leiden University; Arno Knobbe, LIACS, Leiden University
  • 1265: Extraction and Integration of Web Data by End-Users. Sudhir Agarwal, Stanford University; Michael Genesereth, Stanford University
  • 796: Efficient Forecasting for Hierarchical Time Series. Lars Dannecker*, SAP AG; Robert Lorenz, SAP AG; Philipp Roesch, SAP AG; Wolfgang Lehner, Technische Universitat Dresden; Gregor Hackenbroich, SAP AG

Short Paper Session 54 – KM Track: Mining and learning
Time: 4:00pm – 6:15pm
Room: San Ramon
Chair: William Yang Wang

  • 21: pEDM: Online-Forecasting for Smart Energy Analytics. Lars Dannecker*, SAP AG; Philipp Roesch, SAP AG; Ulrike Fischer, Technische University Dresden; Gordon Gaumnitz, SAP AG; Wolfgang Lehner, Technische University Dresden; Gregor Hackenbroich, SAP AG
  • 174: An Efficient Probabilistic Framework for Multi-Dimensional Classification. Iyad Batal*, University of Pittsburgh; Charmgil Hong, ; Milos Hauskrecht, University of Pittsburgh
  • 468: OMS-TL: A Framework of Online Multiple Source Transfer Learning. Liang Ge*, SUNY Buffalo; Jing Gao, Univ. of Buffalo; Aidong Zhang, SUNY Buffalo
  • 748: Combining One-Class Classifiers via Meta Learning. Eitan Menahem*, Ben-Gurion university; Lior Rokach, Ben-Gurion University of the Negev; Yuval Elovici, Ben-Gurion University of the Negev
  • 1111: Scalable Bootstrapping For Python. Peter Birsinger*, UC Berkeley; Richard Xia, ; Armando Fox, UC Berkeley
  • 1113: FIRE: Interactive Visual Support for Parameter Space-Driven Rule Mining. Abhishek Mukherji*, WPI; Xika Lin, WPI; Jason Whitehouse, WPI; Christopher Botaish, WPI; Elke Rundensteiner, WPI; Matthew Ward, WPI
  • 606: Discovering and Managing Quantitative Association Rules. Chunyao Song, University of Massachusetts, Lowell; Tingjian Ge, Univ. of Massachusetts, Lowell
Demo Program
October 29th, Tuesday

Demo Session 55 –
Time: Morning
Room: Foyer Area of Irvine

  • Consumer-Centric SLA Manager for Cloud-Hosted DatabasesSherif Sakr, The University of New South Wales
  • TerraFly GeoCloud: Online Spatial Data Analysis SystemYun Lu, FIU; Mingjin Zhang, FIU; Tao Li, Florida International University; Yudong Guang, FIU; Erik Edrosa, FIU; chang Liu, FIU; Naphtali Rishe, FIU
  • MetKB: Enriching RDF Knowledge Bases with Web Entity-Attribute TablesHaoqiong Bian, Renmin University of China; Yueguo Chen, Renmin University of China; Xiaoyong Du, Renmin Univ, China; Xiaolu Zhang, Renmin University of China
  • ReadFast: High-relevance search-engine for free-textMichael Gubanov, MIT
  • FusionDB: Conflict Management System for Small-Science DatabasesKarim Ibrahim, WPI; Nathaniel Selvo, ; Mohamed El-Rifai, WPI; Mohamed Eltabakh, Worcester Polytechnic Institute

Demo Session 56 –
Time: Afternoon
Room: Foyer Area of Irvine

  • GeCo – An online personal data Generator and CorruptorKhoi-Nguyen Tran, ANU; Dinusha Vatsalan, ANU; Peter Christen, ANU
  • DeExcelerator: A Framework for Extracting Relational Data From Partially Structured DocumentsJulian Eberius, TU Dresden; Christopher Werner, TU Dresden; Maik Thiele, TU Dresden; Katrin Braunschweig, TU Dresden; Wolfgang Lehner, Technische University Dresden
  • Demonstrating Intelligent Crawling and Archiving of Web ApplicationsMuhammad Faheem, Telecom ParisTech; Pierre Senellart, Telecom ParisTech
  • iNewsBox: Modeling and Exploiting Implicit Feedback for Building Personalized News RadioYanan Xie, Zhejiang University; Liang Chen; Jian Wu
  • SportSense: Using Motion Queries to Find Scenes in Sports VideosIhab Al Kabary, University of Basel; heiko Schuldt, University of Basel
October 30th, Wednesday

Demo Session 57 –
Time: Morning
Room: Foyer Area of Irvine

  • PredictionIO: A Distributed Machine Learning Server for Practical Software DevelopmentSimon Chan, University College London; Thomas Stone, University College London; Donald Szeto, TappingStone Inc.; Ka Hou Chan, TappingStone Inc.
  • Exploring XML data is as easy as using Google Maps Zhifeng Bao, NUS; YONG ZENG, NUS
  • Inside The World’s PlaylistUniversity of Amsterdam, NL; Manos Tsagkias, University of Amsterdam; Maarten de Rijke, University of Amsterdam
  • Detecting and Exploring Clusters in Attributed GraphsBrigitte Boden, RWTH Aachen University; Roman Haag, RWTH Aachen University; Thomas Seidl, RWTH Aachen University
  • Cloud Armor: A Platform for Credibility-Based Trust Management of Cloud ServicesTalal H. Noor, The University of Adelaide; quan Z. Sheng, University of Adelaide; Hee H. Ngu, Texas State University-San Marcos; Abdullah Alfazi, The University of Adelaide; Jeriel Law, The University of Adelaide

Demo Session 58 –
Time: Afternoon
Room: Foyer Area of Irvine

  • Human Computing Games for Knowledge AcquisitionMax Planck Institute for Informatics; Peter Triantafillou, University of Glasgow; Gerhard Weikum, MPI MPI Saarbrcken, Germany
  • A Tool for Assisting Provenance Search in Social MediaSuhas Ranganath, Suhas; Pritam Gundecha, Arizona State University; Huan Liu, Arizona State University
  • SPHINX: Rich Insights into Evidence-Hypotheses Relationships via Parameter Space-based ExplorationAbhishek Mukherji, WPI; Jason Whitehouse, WPI; Christopher Botaish, WPI; Elke Rundensteiner, WPI; Matthew Ward, WPI
  • Search Excavator: The Knowledge Discovery ToolDMITRI DANILOV, University of Tartu; Eero Vainikko, University of Tartu
  • ESTHETE: A News Browsing system to visualize the context and evolution of news stories Rahul Goyal, IIT Delhi; Ravee Malla, IIT Delhi; Amitabha Bagchi, IIT, Delhi; Maya Ramanath, IIT Delhi; Sameep Mehta, IBM
  • WordSeer: A Knowledge Synthesis Environment for Textual DataAditi Muralidharan, UC Berkeley; Marti Hearst, UC Berkeley; Christopher Fan, UC Berkeley