Group 1: Evaluation, Text Collections and User/Personalized IR
P1-1: Relevance Judgments between TREC and Non-TREC Assessors
A. Al-Maskari, M. Sanderson and P. Clough (University of Sfeffield)
P1-2: Evaluation Measures for Preference Judgments
B. Carterette and P. Bennett (University of Massachusetts/Microsoft Research)
P1-3: Exploring Evaluation Metrics: GMAP versus MAP
S.D. RAVANA and A. Moffat (University of Melbourne)
P1-4: A new interpretation of average precision
S. Robertson (Microsoft Research)
P1-5: Comparing Metrics across TREC and NTCIR: The Robustness to Pool Depth Bias
T. Sakai (NewsWatch Inc.)
P1-6: Relevance Thresholds in System Evaluations
F. Scholer and A. Turpin (RMIT University)
P1-7: Precision-At-Ten Considered Redundant
W. Webber, A. Moffat, J. Zobel and T. Sakai (NewsWatch Inc. /University of Melbourne)
P1-8: Structuring Collections with Scatter/Gather Extensions
O. Alonso (UC Davis) and J. Talbot (Stanford)
P1-9: Text Collections for FIRE
P. Majumder, M. Mitra, D. Pal, A. Bandyopadhyay, S. Maiti, S. Mitra, A. Sen and S. Pal
(Indian Statistical Institute Kolkata)
P1-10: A Longitudinal Study of Real-time Search Assistance Adoption
P. Anick and R.G. Kantamneni (Yahoo! Inc.)
P1-11: TopicRank: Bringing Insight to Users
I. Berlocher, K.I. Lee and K. Kim (Saltlux Inc.)
P1-12: Talking the Talk vs. Walking the Walk: Salience of Information Needs in Querying vs. Browsing
M. Bilenko, R. White, M. Richardson and G.C. Murray (Microsoft Research/University of Maryland)
P1-13: Exploring Mouse Movements for Inferring Query Intent
Q. Guo and E. Agichtein (Emory University)
P1-14: Emulating query-biased summaries using document titles
H. Joho, D. Hannah and J. Joemon (University of Glasgow)
P1-15: Hierarchical Naive Bayes models to represent user profiles
J. Huete, L. de Campos, J. Fernandez-Luna and M. Rueda-Morales (University of Granada)
P1-16: A Topical PageRank based Algorithm for Recommender Systems
L. Zhang, K. Zhang and C. Li (School of Software, Tsinghua University)
P1-17: The Impact of History Length on Personalized Search
Y. Zhu, J. Callan and J. Carbonell (Carnegie Mellon University)
P1-18: User Preference Choices for Complex Question Answering
M. Wu, F. Scholer and A. Turpin (RMIT University)
P1-19: Towards Personalized Distributed Information Retrieval
M. Carman and F. Crestani (Faculty of Informatics/University of Lugano (USI))
P1-20: Task-aware Search Personalization
J. Luxenburger, S. Elbassuoni and G. Weikum (Max-Planck Institute for Informatics)
Group 2: Blog, Tagging, Opinion Analysis and Web IR
P2-1: Personal vs Non-Personal Blogs: Initial Classification Experiments
M. de Rijke and E. Elgersma (Informatics Institute)
P2-2: Exploiting Subjectivity Analysis in Blogs to Improve Political Leaning Categorization
M. Jiang and S. Argamon (Illinois Institute of Technology)
P2-3: Ranking Opinionated Blog Posts using OpinionFinder
C. Macdonald, B. He and I. Ounis (University of Glasgow)
P2-4: Searching Blogs and News: A Study on Popular Queries
A. Sun, M. Hu and E.P. Lim (Nanyang Technological University)
P2-5: Aggregated Click-through Data in a Homogeneous User Community
M. Wu, A. Turpin and J. Zobel (RMIT University)
P2-6: To Tag or Not to Tag - Harvesting Adjacent Metadata in Large-Scale Tagging Systems
A. Budura, S. Michel, P. Cudre-Mauroux and K. Aberer (EPFL)
P2-7: Subjectivity Analysis for Questions in QA Communities
B. Li, Y. Liu, A. Ram, E.V. Garcia and E. Agichtein (Emory University)
P2-8: On the Evolution of the Yahoo! Answers QA Community
Y. Liu and E. Agichtein (Emory University)
P2-9: Detecting synonyms in social tagging systems to improve content retrieval
M. Clements, A. de Vries and M. Reinders (Delft University of Technology/CWI)
P2-10: SOPING: A Chinese Customer Review Mining System
Z. Chao and G. Qiu (Zhejiang University)
P2-11: Combining Learn-based and Lexicon-based Techniques for Sentiment Detection without Using
Labeled Examples
S. Tan (Institute of Computing Technology)
P2-12: Semi-supervised spam filtering: Does it work?
G. Cormack and M. Mojdeh (University of Waterloo/Cheriton School of Computer Science)
P2-13: Limits of Opinion-Finding Baseline Systems
C. Macdonald, B. He, I. Ounis and I. Soboroff (NIST/University of Glasgow)
P2-14: Web Query Translation via Web Log Mining
R. Hu and W. Chen (Microsoft Research Asia)
P2-15: Analyzing Web Text Association to Disambiguate Abbreviation in Queries
X. Wei, F. Peng and B. Dumoulin (Yahoo! Inc.)
P2-16: Bloggers as Experts: Feed Distillation using Expert Retrieval Models
K. Balog, M. de Rijke and W. Weerkamp (University of Amsterdam/Informatics Institute)
P2-17: Search Effectiveness with a Breadth-First Crawl
D. Fetterly, N. Craswell and V. Vinay (Microsoft)
P2-18: Guide Focused Crawler Efficiently and Effectively Using On-line Topical Importance Estimation
Z. Guan (Zhejiang University)
P2-19: Web Page Retrieval in Ubiquitos Sensor Environment
T. Maekawa, Y. Yanagisawa, Y. Sakurai, Y. Kishino, K. Kamei and T.Okadome (NTT Corporation)
P2-20: Automatic Document Prior Feature Selection for Web Retrieval
J. Peng, C. Macdonald and I. Ounis (University of Glasgow)
P2-21: Using Parsimonious Language Models on Web Data
R. Kaptein, R. Li, D. Hiemstra and J. Kamps (University of Twente/ University of Amsterdam)
P2-22: Query Preprocessing: Improving Web Search through a Vietnamese Word Tokenization Approach
D. Nguyen (HP)
Group 3: Multimedia and Domain Specific IR
P3-1: AdImage: Video Advertising by Image Matching and Ad Scheduling Optimization
W. Hsu, W.S. Liao and K.T. Chen (National Taiwan University)
P3-2: Bag-of-Visual-Words Expansion Using Visual Relatedness for Video Indexing
Y.G. Jiang and C.W. Ngo (City University of Hong Kong)
P3-3: A Word Shape Coding Method for Camera-based Document Images
L. Li and C.L. Tan (National University of Singapore)
P3-4: Term Clouds as surrogates for User Generated Speech
M. Tsagias, M. Larson and M. de Rijke (University of Amsterdam/Informatics Institute)
P3-5: A Faceted Interface for Multimedia Search
R. Villa, N. Gildea and J. Joemon (University of Glasgow)
P3-6: WISA: A Novel Web Image Semantic Analysis System
H. Xu, X. Zhou and L. Lan (Fudan University/Tongji University)
P3-7: One-button Search Extracts Wider Interests: An Empirical Study with Video Bookmarking Search
M. Okamoto, M. Kikuchi and T. Yamasaki (Toshiba Corporation)
P3-8: Product Retrieval for Grocery Stores
P. Nurmi, E. Lagerspetz, W. Buntine, P. Floreen and J. Kukkonen (Helsinki Institute for
Information Technology)
P3-9: A Reranking Model for Genomics Aspect Search
J. Huang and Q. Hu (York University)
P3-10: Improving Biomedical Document Retrieval using Domain Knowledge
S. Wang and M. Hauskrecht (Intelligent Systems Program/University of Pittsburgh)
P3-11: Kleio: a knowledge-enriched information retrieval system for biology
C. Nobata, P. Cotter, N. Okazaki, B. Rea, Y. Sasaki, Y. Tsuruoka, J. Tsujii and S. Ananiadou
(NaCTeM/University of Manchester/University of Tokyo)
P3-12: Enhancing Keyword-Based Botanical Information Retrieval with Information Extraction
X. Tang (Emporia State University)
P3-13: How Medical Expertise Influences Web Search Interaction
R. White, S.T. Dumais and J. Teevan (Microsoft Research)
P3-14: Generating Diverse Katakana Variants Based on Phonemic Mapping
K. Seki, H. Hattori and K. Uehara (Kobe University)
P3-15: Exploiting sequential dependencies for expert finding
P. Serdyukov, H. Rode and D. Hiemstra (University of Twente)
P3-16: Modeling expert finding as an absorbing random walk
P. Serdyukov, H. Rode and D. Hiemstra (University of Twente)
P3-17: A Scalable Assistant Librarian: Hierarchical Subject Classification of Books
S. Crain, J. Huang and H. Zha (Georgia Tech/Pennsylvania State University)
P3-18: Information Retrieval on Bug Locations by Learning Co-located Bug Report Clusters
I.X. Chen, H. Jaygarl, C.Z. Yang and P.J. Wu (Yuan Ze University)
P3-19: Summarization of Compressed Text Images: an Experience on Indic Script Documents
U. Garain (Indian Statistical Institute, Kolkata, India)
Group 4: Theory and IR Models
P4-1: A Method for Transferring Retrieval Scores between Collections with Non-Overlapping Vocabularies
F. Diaz (Yahoo! Inc.)
P4-2: Improving Relevance Feedback in Language Modeling with Score Regularization
F. Diaz (Yahoo! Inc.)
P4-3: Theoretical Bounds On and Empirical Robustness of Score Regularization to Different
Similarity Measures
F. Diaz (Yahoo! Inc.)
P4-4: A Study of Query Length
A. Arampatzis and J. Kamps (University of Amsterdam)
P4-5: Don't Have a Stemmer? Be Un+concern+ed
P. McNamee, C. Nicholas and J. Mayfield (Johns Hopkins University)
P4-6: Parsimonious Concept Modeling
E. Meij, D. Trieschnigg, M. de Rijke and W. Kraaij (University of Amsterdam/University of
Twente/Informatics Institute)
P4-7: Parsimonious Relevance Models
E. Meij, W. Weerkamp, K. Balog and M. de Rijke (University of Amsterdam/Informatics Institute)
P4-8: Author-Topic Evolution Analysis using Three-way Non-negative Paratucker
W. Peng and T. Li (Florida International University)
P4-9: Exploiting Proximity Feature in Bigram Language Model for Information Retrieval
N. Seung-Hoon, J. Kim, K. In-Su and L. Jong-Hyeok (Pohang University of Science & Technology)
P4-10: Measuring Concept Relatedness Using Language Models
D. Trieschnigg, E. Meij, M. de Rijke and W. Kraaij (University of Amsterdam/University of
Twente/Informatics Institute)
P4-11: Query-drift prevention for robust query expansion
L. Zighelnic and O. Kurland (Technion)
P4-12: Adaptive Label-Driven Scaling for Latent Semantic Indexing
X. Quan, E. Chen, Q. Luo and H. Xiong (University of Science and Technology of China)
P4-13: Fixed-threshold SMO for Joint Constraint Learning Algorithm of Structural SVM
C. Lee and M.G. Jang (ETRI)
P4-14: Posterior Probabilistic Clustering using NMF
T. Li, D. Luo, C. Ding and W. Peng (Florida International University)
P4-15: On Document Splitting in Passage Detection
S. Mengle and N. Goharian (Illinois Institute of Technology)
P4-16: Learning with Support Vector Machines for Query-By-Multiple-Examples
D. Zhang and W.S. Lee (University of London)
P4-17: Question Classification with Semantic Tree Kernel
Y. Pan, Y. Tang and L. Lin (Sun Yat-sen University)
P4-18: Generalising multiple capture-recapture to non-uniform sample sizes
P. Thomas (CSIRO ICT Centre)
P4-19: Predicting when Browsing Context Is Relevant to Search
M. Rahurkar and S. Cucerzan (Microsoft Research/University of Illinois)
Group 5: Structured IR, Ranking, Classification and Filtering
P5-1: XML-Aided Phrase Indexing for Hypertext Documents
M. Lehtonen and A. Doucet (University of Helsinki/University of Caen)
P5-2: Proximity-Aware Scoring for XML Retrieval
A. Broschart and R. Schenkel (Max-Planck Institute for Informatics)
P5-3: Locating Relevant Text within XML Documents
J. Kamps, M. Koolen and M. Lalmas (Queen Mary, University of London/ University of Amsterdam)
P5-4: A Flexible extension of XPath to improve XML querying
S. Marrara, E. Damiani and G. Pasi (University of Milan - DTI/ University of Milan - Bicocca)
P5-5: Combining Document- and Paragraph-Based Entity Ranking
H. Rode, P. Serdyukov and D. Hiemstra (University of Twente)
P5-6: Re-ranking search results using document-passage graphs
M. Bendersky and O. Kurland (Technion/University of Massachusetts, Amherst)
P5-7: Utilizing Phrase Based Semantic Information for Term Dependency
Y. Xu, B. Wang and D. Fan (Institute of Computing Technology/Chinese Academy of Sciences)
P5-8: Inferring the Most Important Types of a Query: a Semantic Approach
D. Vallet and H. Zaragoza (Yahoo Research/Universidad Autonoma de Madrid)
P5-9: On Multiword Entity Ranking in Peer-to-Peer Search
Y. Merhav and O. Frieder (Illinois Institute of Technology)
P5-10: Site-Based Dynamic Pruning for Query Processing in Search Engines
I. Altingovde, e. Demir, F. Can and O. Ulusoy (Bilkent University)
P5-11: Exploiting MDS Projections for Cross-language IR
R. Banchs and A. Kaltenbrunner (Barcelona Media Innovation Centre)
P5-12: Local Approximation of PageRank and Reverse PageRank
L.T. Mashiach and Z. Bar-Yossef (Technion - Isarael Institurte of technology)
P5-13: Improving Text Classification Accuracy using Topic Modeling over an Additional Corpus
S. Banerjee (HP Labs India)
P5-14: An Algorithm for Text Categorization
A. Gkanogiannis and T. Kalamboukis (Athens University of Economics and Business)
P5-15: Hypergraph Partitioning for Document Clustering: A Unified Clique Perspective
T. Hu, H. Xiong, W. Zhou, S.Y. Sung and H. Luo (East China Normal University)
P5-16: PageRank Based Clustering of Hypertext Document CollectionsK. Avrachenkov, V. Dobrynin,
D. Nemirovsky, S. Pham and E. Smirnova (INRIA Sophia Antipolis)
P5-17: An Alignment-based Pattern Representation Model for Information Extraction
S. Kim, M. Jeong and G.G. Lee (Pohang University of Science and Technology)
P5-18: Relational Distance-Based Collaborative Filtering
W. Zhang (Chinese Academy of Sciences)