Time |
Venue |
Chair |
Event |
0700-0820 |
Restaurant (L2) |
New Comers’ Breakfast |
0830-0900 |
Grand Ballroom (L4) |
|
Opening Plenary |
0900-1000 |
Grand Ballroom (L4) |
Desai Narasimhalu |
Plenary and Keynote 1:
Delighting Chinese Users: The Google China Experience
(Kai-Fu Lee, Google) |
1000-1100 |
Foyer |
Morning Tea |
1100-1230 |
Grand
Ballroom I (L4)
|
Gary Marchionini |
Session 1:
User Interaction Models |
On Iterative Intelligent Medical Search
G. Luo and C. Tang (IBM T.J. Watson Research Center) |
Effective and Efficient User Interaction for Long Queries
G. Kumaran and J. Allan (University of Massachusetts, Amherst) |
How Do Users Find Things with PubMed? Towards Automatic Utility Evaluation with User Simulations
J. Lin and M. Smucker (University of Maryland/University of Massachusetts, Amherst) |
Grand
Ballroom II (L4) |
Rosie Jones |
Session 2:
Web Search -1 |
Towards Breaking the Quality Curse. A Web-Querying Approach to Web People Search
D.V.Kalashnikov, R.Nuray-Turan and S.Mehrotra (University of California, Irvine) |
An Unsupervised Framework for Extracting and Normalizing Product Attributes from Multiple Web Sites
T.L. Wong, W. Lam and T.S. Wong (The Chinese University of Hong Kong) |
Enhancing Web Search by Promoting Multiple Search Engine Use
R. White, M. Richardson, M. Bilenko and A. Heath (Microsoft Research) |
Galleria (L3)
|
Donna Harman |
Session 3: Evaluation -1 |
Score Standardization for Inter-Collection Comparison of Retrieval Systems
W. Webber, A. Moffat and J. Zobel (University of Melbourne) |
The Good and the Bad System: Does the Test Collection Predict Users’ Effectiveness?
A. Al-Maskari, M. Sanderson and P. Clough (University of Sheffield) |
Retrieval Sensitivity Under Training Using Different Measures
B. He, C. Macdonald and I. Ounis (University of Glasgow) |
1230-1400 |
Riverfront Ballroom (L2) |
Lunch |
1400-1530 |
Grand
Ballroom I (L4)
|
Susan Dumais |
Session 4: Collaborative Filtering |
Attack Resistant Collaborative Filtering
B. Mehta and W. Nejdl (Google Inc./L3S Research Center) |
EigenRank: A Ranking-Oriented Approach to Collaborative Filtering
N. Liu and Q. Yang (Hong Kong University of Science & Technology) |
Personalized Active Learning for Collaborative Filtering
H. Abhay and Y. Yang (Carnegie Mellon University) |
Grand
Ballroom II (L4)
|
Thorsten Joachims |
Session 5: Learning to Rank -1 |
A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data
M. Amini, V. Truong and C. Goutte (National Research Council Canada/LIP6) |
Directly Optimizing Evaluation Measures in Learning to Rank
J. Xu, H. Li, T.Y. Liu, and M. Lu (Microsoft Research Asia) |
Query Dependent Ranking Using K-Nearest Neighbor
X. Geng, T.Y. Liu, T. Qin, A. Arnold, H. Li and H.Y. Shum (Institue of Computing Technology, Chinese Academy of Sciences/Microsoft Research Asia/Tsinghua University/ Carnegie Mellon University) |
Galleria (L3)
|
Djoerd Hiemstra |
Session 6: High-Performance & High Dimensional Indexing |
Asymmetric Distance Estimation with Sketches for Similarity Search in High-Dimensional Spaces
W. Dong, M. Charikar and K. Li (Princeton University) |
ResIn: A Combination of Results Caching and Index Pruning for High-performance Web Search Engines
G. Skobeltsyn, F. Junqueira, V. Plachouras and R. Baeza-Yates (EPFL/Yahoo! Research, Barcelona) |
Reorganizing Compressed Text
N. R. Brisaboa, A. Fariña S. Ladra and G. Navarro (University of Chile/University of A Coruña) |
1530-1600 |
Foyer |
Afternoon Tea |
1600-1730 |
Grand
Ballroom I (L4)
|
Edie Rasmussen |
Session 7: User Adaptation & Personalization |
User Adaptation: Good Results from Poor Systems
C. Smith and P. Kantor (Rutgers University) |
Exploring Folksonomy for Personalized Search
S. Xu, S. Bao, B. Fei, Z. Su and Y. Yu (IBM China Research Lab/Shanghai Jiao Tong University) |
To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent
J. Teevan, S.T. Dumais and D.J. Liebling (Microsoft Research) |
Grand
Ballroom II (L4)
|
Tie-Yan Liu |
Session 8: Clustering -1 |
The opposite of smoothing: A language model approach to ranking query-specific document clusters
O. Kurland (Technion) |
Enhancing Text Clustering by Leveraging Wikipedia Semantics
J. Hu, L. Fang, Y. Cao, H. J. Zeng, H. Li, Q. Yang, and Z. Chen (Microsoft Research Asia/Fudan University/Shanghai Jiao Tong Univeristy/ Hong Kong University of Science & Technology) |
Knowledge Transformation from Word Space to Document Space
T. Li, C. Ding, Y. Zhang and B. Shao (Florida International University/University of Texas at Arlington) |
Galleria (L3)
|
Mark Sanderson |
Session 9: Multilingual & Crosslingual Retrieval |
A Study of Learning a Merge Model for Multilingual Information Retrieval
M.F. Tsai, Y. Wang and H.H. Chen (National Taiwan University) |
Bilingual Topic Aspect Classification with A Few Training Examples
Y. Wu and D. Oard (University of Maryland) |
Crosslingual Location Search
T. Joshi, J. Joy, T. Kellner, U. Khurana, A. Kumaran and V. Sengar (Microsoft Research India) |
1730-1830 |
Break
|
1830-2130 |
Kiwi Lounge, Level 2 |
|
Posters Reception
(see List of Posters) |
Time |
Venue |
Chair |
Event |
0900-1000 |
Grand
Ballroom I (L4) |
Mun-Kew Leong |
Plenary and Keynote 2
Guilt by Association as a Search Principle
(Lim-Soon Wong, NUS) |
1000-1030 |
Foyer |
Morning Tea |
1030-1230 |
Grand
Ballroom I (L4)
|
Ian Soboroff |
Session 10:
Relevance Feedback |
A Study of Methods for Negative Relevance Feedback
X. Wang, H. Fang, and C. Zhai (University of Illinois at Urbana-Champaign/The Ohio State University) |
A Bayesian Logistic Regression Model for Active Relevance Feedback
Z. Xu and R. Akella (University of California, Santa Cruz) |
A Cluster-Based Resampling Method for Pseudo-Relevance Feedback
K.S. Lee, B. Croft and J. Allan (University of Massachusetts Amherst/Chonbuk National University) |
Selecting Good Expansion Terms for Pseudo-Relevance Feedback
G. Cao, J.Y. Nie, J. Gao and S. Robertson (Microsoft Research/University of Montreal) |
Grand
Ballroom II (L4)
|
Maarten de Rijke |
Session 11: Learning to Rank -2 |
Learning to Rank with Partially-Labeled Data
K. Duh and K. Kirchhoff (University of Washington) |
Learning to Rank with SoftRank and Gaussian Processes
J. Guiver and E. Snelson (Microsoft Research) |
Learning to Rank at Query-Time using Association Rules
A. Veloso, H. Almeida, M. Gonçalves and W. Meira Jr. (UFMG) |
Learning to Rank with Ties
K. Zhou, G.R. Xue, H. Zha and Y. Yu (Georgia Tech/Shanghai Jiao-Tong University) |
Galleria (L3)
|
Hwee-Tou Ng |
Session 12:
Summarization |
Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-Oriented Multi-Document Summarization
F. Wei, W. Li, Q. Lu and Y. He (The Hong Kong Polytechnic University) |
Comments-Oriented Document Summarization: Understanding Documents with Readers’ Feedback
M. Hu, A. Sun and E.P. Lim (Nanyang Technological University) |
Multi-Document Summarization Using Cluster-Based Link Analysis
X. Wan and J. Yang (Peking University) |
Multi-Document Summarization via Sentence-Level Semantic Analysis and Symmetric Matrix Factorization
D. Wang, T. Li, S. Zhu and C. Ding (Florida International University/NEC Labs. America, Inc/University of Texas at Arlington) |
1230-1400 |
Riverfront Ballroom (L2) |
Lunch |
1400-1530 |
Grand
Ballroom I (L4)
|
Gareth Jones |
Session 13: Exploratory Search & Filtering |
Algorithmic Mediation for Collaborative Exploratory Search
J. Pickens, G. Golovchinsky, C. Shah, P. Qvarfordt and M. Back ( FX Palo Alto Lab, Inc./University of North Carolina) |
Exploiting Correlated Keywords to Improve Approximate Information Filtering
C. Zimmer, C. Tryfonopoulos and G. Weikum (Max-Planck-Institute for Informatics/Max-Planck Institute for Computer Science) |
Grand
Ballroom II (L4)
|
Nick Craswell |
Session 14:
Web Search -2 |
A User Browsing Model to Predict Search Engine Click Data from Past Observations
G. Dupret and B. Piwowarski (Yahoo! Research Latin America) |
Learning Query Intent from Regularized Click Graphs
X. Li, Y.Y. Wang and A. Acero (Microsoft Research) |
Retrieval and Feedback Models for Blog Feed Search
J. Elsas, J. Arguello, J. Callan and J. Carbonell (Carnegie Mellon University) |
Galleria (L3)
|
Stefan Rueger |
Session 15:
Multimedia Retrieval |
Learning to Reduce the Semantic Gap in Web Image Retrieval and Annotation
C. Wang, L. Zhang and H.J. Zhang (Microsoft Research Asia/University of Science and Technology of China) |
A Lattice-Based Approach to Query-by-Example Spoken Document Retrieval
T.K. Chia, K.C. Sim, H. Li and H.T. Ng (Institute for Infocomm Research/National University of Singapore) |
Foyer of Galleria (L3) |
|
Technical Demonstration
(See list of Demos) |
1530-1600 |
Foyer |
Afternoon Tea |
1600-1730 |
Grand
Ballroom I (L4)
|
Peter Anick |
Session 16:
Query Analysis & Models -1 |
A Few Examples Go A Long Way: Constructing Query Models from Elaborate Query Formulations
K. Balog, W. Weerkamp and M. de Rijke (University of Amsterdam) |
A Unified and Discriminative Model for Query Refinement
J. Guo, G. Xu, H. Li and X. Cheng (Microsoft Research Asia/Information Security Center, ICT) |
Query Expansion Using Gaze-Based Feedback on the Subdocument Level
G. Buscher, A. Dengel and L. van Elst (DFKI) |
Grand
Ballroom II (L4)
|
Wai Lam |
Session 17:
Non-Topicality |
Affective Feedback: An Investigation into the Role of Emotions in the Information Seeking Process
I. Arapakis J. M. Jose, and P. D. Gray (University of Glasgow) |
Optimizing Relevance and Revenue in Ad Search: A Query Substitution Approach
F. Radlinski, A. Broder, P. Ciccolo, E. Gabrilovich, V. Josifovski and L. Riedel (Yahoo! Research/Cornell University) |
A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval
M. Zhang and X. Ye (Tsinghua University) |
Galleria (L3)
|
ChengXiang Zhai |
Session 18:
Probabilitic Models |
Discriminative Probabilistic Models for Passage Based Retrieval
M. Wang and L. Si (Purdue University/Stanford University) |
A New Probabilistic Retrieval Model Based on the DirichletCompound Multinomial Distribution
Z. Xu and R. Akella (University of California, Santa Cruz) |
TF-IDF Uncovered: A Study of Theories and Probabilities
T. Roelleke and J. Wang (Queen Mary, University of London) |
1730-1830 |
Sentosa |
Travel to Sentosa Island |
1830-2200 |
Siloso Beach,
Rasa Sentosa Hotel |
Conference Banquet |
Time |
Venue |
Chair |
Event |
0900-1030 |
Grand
Ballroom I (L4) |
Jamie Callan |
Session 19: Analysis of Social Networks |
Separate and Inequal: Preserving Heterogeneity in Topical Authority Flows
L. Nie and B. Davison (Lehigh University) |
BrowseRank: Letting Web Users Vote for Page Importance
Y. Liu, B. Gao, T.Y. Liu, Y. Zhang, Z. Ma, S. He and H. Li (Microsoft Research Asia) |
Exploring Traversal Strategy for Web Forum Crawling
Y. Wang, J. M. Yang, W. Lai, R. Cai, L. Zhang and W. Y. Ma (Chinese Academy of Science/Microsft Research Asia) |
Grand
Ballroom II (L4)
|
Hae-Chang Rim |
Session 20:
Question-Answering |
Finding Question-Answer Pairs from Online Forums
G. Cong, L. Wang, C.Y. Lin, Y.I. Song and Y. Sun (Aalborg University/Tianjin University/Microsoft Research Asia/Korea University) |
Retrieval Models for Question and Answer Archives
X. Xue, J. Jeon and B. Croft (University of Massachusetts Amherst/Google, Inc.) |
Predicting Information Seeker Satisfaction in Community Question Answering
Y. Liu, J. Bian and E. Agichtein (Emory University/Georgia Institute of Technology) |
Galleria (L3)
|
Efthimis Efthimiadis |
Session 21:
Query Analysis & Models -2 |
Discovering Key Concepts in Verbose Queries
M. Bendersky and B. Croft (University of Massachusetts) |
Ambiguous Queries: Test Collections Need More Sense
M. Sanderson (University of Sheffield) |
Automatically Identifying Localizable Queries
M. Welch and J.J. Cho (UCLA) |
1030-1100 |
Foyer |
Morning Tea |
1100-1230 |
Grand
Ballroom I (L4)
|
Andrew Trotman |
Session 22: Social Tagging |
Real-time Automatic Tag Recommendation
Y. Song, Z. Zhuang, H. Li, Q. Zhao, J. Li, W.c. Lee and C.L. Giles (The Pennsylvania State University/AOL Research Lab) |
Efficient Top-k Querying over Social-Tagging Networks
R. Schenkel, T. Crecelius, M. Kacimi, S. Michel, T. Neumann, J. Xavier Parreira and G. Weikum (EPFL/Max Planck Institute for Computer Science/Max-Planck-Institut Informatik) |
Social Tag Prediction
P. Heymann, D. Ramage and H. Garcia-Molina (Stanford University) |
Grand Ballroom II (L4)
|
Hang Li |
Session 23: Clustering -2 |
Spectral Geometry for Simultaneously Clustering and Ranking Query Search Results
Y. Liu, W. Li, Y. Lin and L. Jing (The University of Texas at Dallas) |
A rank-aggregation approach to searching for optimal query-specific clusters
O. Kurland and C. Domshlak (Technion) |
A Comparative Evaluation of Different Link Types on Enhancing Document Clustering
X. Zhang, X. Hu and X. Zhou (Drexel University) |
Galleria (L3)
|
Eugene Agichtein |
Session 24: Content Analysis |
SpotSigs: Robust and Efficient Near Duplicate Detection in Large Web Collections
M. Theobald, J. Siddharth and A. Paepcke (Stanford University) |
Local Text Reuse Detection
J. Seo and B. Croft (University of Massachusetts, Amherst) |
TSCAN: A Novel Method for Topic Summarization and Content Anatomy
C.C. Chen and M.C. Chen (Academia Sinica/National Taiwan University) |
1230-1430 |
Grand Ballroom (L4) |
Lunch with ACM SIGIR Business Meeting
(Lunch: Bento Box) |
1430-1630 |
Grand Ballroom I (L4)
|
Jian-Yun Nie |
Session 25:
Learning Models for IR |
A New Rank Correlation Coefficient for Information Retrieval
E. Yilmaz, J. Aslam and S. Robertson (Microsoft Research/Northeastern University) |
Learning from Labeled Features using Generalized Expectation Criteria
G. Druck, G. Mann and A. McCallum (University of Massachusetts Amherst) |
A Simple and Efficient Sampling Method for Estimating AP and NDCG
E. Yilmaz, E. Kanoulas and J. Aslam (Northeastern University) |
General Optimization Framework for Smoothing Language Models on Graph Structures
Q. Mei, D. Zhang and C. Zhai (University of Illinois at Urbana-Champaign) |
Grand Ballroom II (L4)
|
Doug Oard |
Session 26:
Text Classification |
Deep Classification in Large-scale Text Hierarchies
G.R. Xue, D. Xing, Q. Yang and Y. Yu (Hong Kong Science & Technology University/Shanghai Jiao-Tong University) |
Topic-bridged PLSA for Cross-Domain Text Classification
G.R. Xue, W. Dai, Q. Yang and Y. Yu (Hong Kong Science & Technology University/Shanghai Jiao-Tong University) |
Non-greedy Active Learning for Text Categorization using Convex Transductive Experimental Design
K. Yu, S. Zhu, W. Xu and Y. Gong (NEC Labs America) |
Classifiers Without Borders: Incorporating Fielded Text From Neighboring Web Pages
X. Qi and B. Davison (Lehigh University) |
Galleria (L3)
|
Noriko Kando |
Session 27:
Evaluation -2 |
Evaluation Over Thousands of Queries
B. Carterette, V. Pavlu, E. Kanoulas, J. Allan, and J. A. Aslam (University of Massachusetts Amherst/Northeastern University) |
Novelty and Diversity in Information Retrieval Evaluation
C. Clarke, M. Kolla, G. Cormack, O. Vechtomova, A. Ashkan, S. Büttcher, and I. MacKinnon (University of Waterloo) |
Relevance Assessment: Are Judges Exchangeable and Does it Matter
P. Bailey, N. Craswell, I. Soboroff, P. Thomas, A. de Vries and E. Yilmaz (NIST/Northeastern University/Microsoft/CWI/CSIRO ICT Centre) |
Intuition-Supporting Visualization of User’s Performance Based on Explicit Negative Higher-Order Relevance
H. Keskustalo, K. Jarvelin, A. Pirkola and J. Kekalainen (University of Tampere) |
1630-1645 |
Foyer |
Afternoon Tea |
1645-1730 |
Grand Ballroom I (L4) |
Closing Ceremony |