Session 1-Tuesday, Nov 3, 10:10-12:00
Session 2-Tuesday, Nov 3, 13:45-15:15
Session 3-Tuesday, Nov 3, 15:40-17:30
Session 4-Wednesday, Nov 4, 10:10-12:00
Session 5-Wednesday, Nov 4, 13:40-15:30
Session 6-Thursday, Nov 5, 10:10-12:00
Session 7-Thursday, Nov 5, 13:45-15:15
Session 8-Thursday, Nov 5, 15:40-17:30
1A - KM Track - Information Extraction I (Session Chair: Wai Lam, CUHK) StereoTrust: A Group Based Personalized Trust Model An Empirical Study on Using Hidden Markov Model for Search Interface Segmentation Query by Analogical Example: Relational Search Using Web Search Engine Indices Semi-Supervised Learning of Semantic Classes for Query Understanding -- from the Web and for the Web Efficient Record-Level Wrapper Induction (Session Chair: Xiaoming Li, Beijing University) What Happens after an Ad Click? Quantifying the Impact of Landing Pages in Web Advertising Characterizing Commercial Intent Analyzing and Evaluating Query Reformulation Strategies in Web Search Logs Characterizing and Predicting Search Engine Switching Behavior Clustering and Exploring Search Results using Timeline Constructions
(Session Chair: Wook-Shin Han, Kyungpook National University) Effective, Design-Independent XML Keyword Search Efficient Processing of Twig Pattern Matching in Fuzzy XML Dissemination of Heterogeneous XML Data in Publish/Subscribe Systems Linear Inclusion for XML Regular Expression Types Effective XML Content and Structure Retrieval with Relevance Ranking
(Session Chair: David Carmel, IBM Research, Haifa Research Lab) Intention-Focused Active Reranking for Image Object Retrieval A Translation Model for Matching Reviews to Objects Learning Better Transliterations Supervised Semantic Indexing Ranking Model Adaptation for Domain-Specific Search |
Session 2-Tuesday, Nov 3, 13:45-15:15 |
2A - KM Track - Information Extraction II (Session Chair: Lei Chen, HKUST) Data-driven Compound Splitting Method for English Compounds in Domain Names Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge Helping Editors Choose Better Seed Sets for Entity Set Expansion Using Multiple Ontologies in Information Extraction
(Session Chair: Efthimis N. Efthimiadis, University of Washington) Computational Community Interest for Ranking Adaptive Relevance Feedback in Information Retrieval The Use of Categorization Information in Language Models for Question Retrieval Improving Search Engines Using Human Computation Games
(Session Chair: Illhoi Yoo, University of Missouri , Columbia) Space-Economical Partial Gram Indices for Exact Substring Matching AS-Index: A Structure For String Search Using n-grams and Algebraic Signatures Robust Record Linkage Blocking using Suffix Arrays Efficient Algorithms for Approximate Member Extraction Using Signature-based Inverted Lists
(Session Chair: Ada Fu, CUHK) An Integrated Discriminative Probabilistic Approach to Information Extraction Mining Linguistic Cues for Query Expansion: Applications to Drug Interaction Search Message Family Propagation for Ising Mean Field Based on Iteration Tree Efficient Itemset Generator Discovery over a Stream Sliding Window |
Session 3-Tuesday, Nov 3, 15:40-17:30 |
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(Session Chair: Jiantao Sun, Microsoft Asia) Learning document aboutness from implicit user feedback and document structure Joint Sentiment/Topic Model for Sentiment Analysis Generating Comparative Summaries of Contradictory Opinions in Text sDoc: Exploring Social Wisdom for Document Enhancement in Web Mining Terminology Mining in Social Media
(Session Chair: Bruce Croft, University of Massachusetts, Amherst) Compact Full-Text Indexing of Versioned Document Collections On the Feasibility of Multi-Site Web Search Engines On-line Index Maintenance Using Horizontal Partitioning Adaptive Geospatially Focused Crawling Low-cost Management of Inverted Files for Online Full-Text Search
(Session Chair: Xue-Wen Chen, Unveristy of Kansas) Bitmap Indexes for Relational XML Twig Query Processing Answering XML Queries Using Materialized Views Revisited A Query Language for Analyzing Networks Probabilistic Models for Topic Learning from Images and Captions in Online Biomedical Literatures Learning to Rank with a Novel Kernel Perceptron Method
(Session Chair: Evgeniy Gabrilovich, Yahoo! Research) Towards a Universal Wordnet by Learning from Combined Evidence Event Detection from Flickr Data through Wavelet-based Spatial Analysis Msuggest: A Semantic Recommender Framework for Traditional Chinese Medicine Book Search Engine Interactive, Topic-based Visual Text Summarization and Analysis |
Session 4-Wednesday, Nov 4, 10:10-12:00 |
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(Session Chair: Michael Lyu, CUHK) P-Rank: A Comprehensive Structural Similarity Measure over Information Networks Independent Informative Subgraph Mining for Graph Information Retrieval Graph Classification Based on Pattern Co-occurrence Frequent Subgraph Pattern Mining on Uncertain Graph Data L2 Norm Regularized Feature Kernel Regression For Graph Data
(Session Chair: Kalervo Jarvelin, University of Tampere) Improvements That Don't Add Up: Ad-Hoc Retrieval Results Since 1998 Empirical Justification of the Gain and Discount Function for nDCG Expected Reciprocal Rank for Graded Relevance Usage Based Effectiveness Measures Post-Rank Reordering: Resolving Preference Misalignments between Search Engines and End Users
(Session Chair: Nikos Mamoulis, HKU) Probabilistic Skyline Queries Density-based Clustering using Graphics Processors Scalable Continuous Range Monitoring of Moving Objects in Symbolic Indoor Space Provenance Query Evaluation: What's so special about it? Navigational Path Privacy Protection
(Session Chair: Anupam Joshi, University of Maryland, Baltimore County) Automatic Retrieval of Similar Content Using Search Engine Query Interface Mashup-based Information Retrieval for Domain Experts A Study of Information Retrieval on Accumulative Social Descriptions using the Generation Features iMecho: An Associative Memory Based Desktop Search System Product Query Classification |
Session 5-Wednesday, Nov 4, 13:40-15:30 |
5A - KM Track - Information Filtering and Recommender Systems (Session Chair: Ben Kao, HKU) Learning to Recommend Questions Based on User Ratings Probabilistic Latent Preference Analysis for Collaborative Filtering Semi-Nonnegative Matrix Factorization with Global Statistical Consistency for Collaborative Filtering Voting in Social Networks User-induced Links in Collaborative Tagging Systems
(Session Chair: Torsten Suel, Polytechnic Institute of NYU) A Signal-to-Noise Approach to Score Normalization Nonlinear Static-Rank Computation A General Magnitude-Preserving Boosting Algorithm for Search Ranking Learning to Rank from Bayesian Decision Inference Reducing the Risk of Query Expansion via Robust Constrained Optimization
(Session Chair: Raymond Wong, HKUST) A Code Generation Approach to Optimizing High-Performance Distributed Data Stream Processing Efficient Join Processing on Uncertain Data Streams Fast Shortest Path Distance Estimation in Large Networks Evaluating Top-k Queries over Incomplete Data Streams Mining Data Streams with Periodically Changing Distributions |
Session 6-Thursday, Nov 5, 10:10-12:00 |
6A - KM Track - Classification and Clustering I (Session Chair: Joost Kok, Leiden University) Clustering Web Queries Evidence of Quality of Textual Features on the Web 2.0 Exploiting Internal and External Semantics for the Clustering of Short Texts Using World Knowledge SELC: A Self-Supervised Model for Sentiment Classification Graph-based Transfer Learning
6B - IR Track - Domain-Specific Retrieval II (Session Chair: ChengXiang Zhai, University of Illinois at Urbana-Champaign) A Unified Relevance Model for Opinion Retrieval Detecting Topic Evolution in Scientific Literature: How Can Citations Help? Efficient Information Retrieval in Mobile Peer-to-Peer Networks Language-model-based Ranking for Queries on RDF-Graphs Heterogeneous Cross Domain Ranking in Latent Space
6C - DB Track - Data Warehousing and OLAP (Session Chair: Xiaofeng Meng, Renmin University) Supporting Ranking Pattern-Based Aggregate Queries in Sequence Data Cubes Fuzzy Semantic Web Ontology Learning from Fuzzy UML Model Efficient Joins with Compressed Bitmap Indexes A Framework for Semantic Link Discovery over Relational Data POkA : Identifying Pareto-Optimal k-Anonymous Nodes in a Domain Hierarchy Lattice
6D - Industry Track - Data Mining framework and applications (Session Chair: Sanjay Madria, University of Missouri-Rolla) Practical Lessons of Data Mining at Yahoo! Domain Driven Data Mining to Improve Promotional Campaign ROI and Select Marketing Channels Framework for Timely and Accurate Ads on Mobile Devices Improving Web Page Classification by Label-propagation over Click Graphs Product Feature Categorization with Multilevel Latent Semantic Association |
Session 7-Thursday, Nov 5, 13:45-15:15 |
7A - KM Track - Link Analysis and Social Computing (Session Chair: Irwin King, CUHK) Completing Wikipedia's Hyperlink Structure through Dimensionality Reduction Scalable Learning of Collective Behavior Based on Sparse Social Dimensions Blog Cascade Affinity: Analysis and Prediction Socializing or Knowledge Sharing? Characterizing Social Intent in Community Question Answering
7B - KM Track - Data Summarization (Session Chair: William Cheung, HKBU) Time Sequence Summarization to Scale Up Chronology-dependent Applications Compressing Tags to Find Interesting Media Groups Efficient Feature Weighting Methods for Ranking Fast and Effective Histogram Construction
7C - Industry Track - Data and Query Similarity (Session Chair: Youngja Park, IBM Research - Watson) Characterizing, Constructing and Managing Resource Usage Profiles of System S Applications: Challenges and Experience Generating SQL/XML Query and Update Statements A System for Detecting XML Similarity in Content and Structure Using Relational Database Characteristics of Document Similarity Measures for Compliance Analysis |
Session 8-Thursday, Nov 5, 15:40-17:30 |
8A - IR Track - Personalization and Social Search II (Session Chair: Avi Arampatzis, University of Amsterdam) PQC: Personalized Query Classification Personalized Social Search Based on the User's Social Network Beyond Hyperlinks: Organizing Information Footprints in Search Logs to Support Effective Browsing A Social Recommendation Framework Based on Multi-scale Continuous Conditional Random Fields Enhancing Recommender Systems under Volatile User Interest Drifts
(Session Chair: Kevyn Collins-Thompson, Microsoft Research) A Term Dependency-Based Approach for Query Terms Ranking Classification-Based Resource Selection Probabilistic Models of Ranking Novel Documents for Faceted Topic Retrieval Retrieval Experiments using Pseudo-Desktop Collections Incident Threading for News Passages
(Session Chair: Clement Yu, University of Illinois at Chicago) Detection of Orthogonal Concepts in Subspaces of High Dimensional Data Large Margin Transductive Transfer Learning Subspace Maximum Margin Clustering A Risk Minimization Framework for Domain Adaptation
(Session Chair: Mukesh Mohania, IBM Research - India) ExSearch: A Novel Vertical Search Engine for Online Barter Business iLoc: A Framework for Incremental Location-State Acquisition and Prediction based on Mobile Sensors Predicting the Conversion Probability for Items on C2CEcommerce Sites Towards Real-Time Measurement of Customer Satisfaction Using Automatically Generated Call Transcripts ROSE: Retail Outlet Site Evaluation by Learning with both Sample and Feature Preference |