Invited Talks

• 
  ChengXiang Zhai: Axiomatic Analysis and Optimization of Information Retrieval Models. 1
• 
  C. J. van Rijsbergen: What Is Quantum Information Retrieval? 2

Predicting Query Performance

• 
  Christina Lioma, Birger Larsen, Hinrich Schütze: User Perspectives on Query Difficulty. 3-14
• 
  Oren Kurland, Anna Shtok, David Carmel, Shay Hummel: A Unified Framework for Post-Retrieval Query-Performance Prediction. 15-26
• 
  Alejandro Bellogín, Pablo Castells, Iván Cantador: Predicting the Performance of Recommender Systems: An Information Theoretic Approach. 27-39

Latent Semantic Analysis and Word Co-occurrence Analysis

• 
  Eduard Hoenkamp: Trading Spaces: On the Lore and Limitations of Latent Semantic Analysis. 40-51
• 
  Fabio A. González, Juan C. Caicedo: Quantum Latent Semantic Analysis. 52-63
• 
  Yuexian Hou, Liang He, Xiaozhao Zhao, Dawei Song: Pure High-Order Word Dependence Mining via Information Geometry. 64-76

Query Expansion and Re-ranking

• 
  Javier Parapar, Alvaro Barreiro: Promoting Divergent Terms in the Estimation of Relevance Models. 77-88
• 
  Stéphane Clinchant, Éric Gaussier: Is Document Frequency Important for PRF? 89-100

Comparison of Information Retrieval Systems and Approximate Search

• 
  Ben Carterette: Model-Based Inference about IR Systems. 101-112
• 
  Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayling, Vishwa Vinay, Trevor Sweeting: Selecting a Subset of Queries for Acquisition of Further Relevance Judgements. 113-124
• 
  H. Asthana, Ruoxun Fu, Ingemar J. Cox: On the Feasibility of Unstructured Peer-to-Peer Information Retrieval. 125-138

Probability Ranking Principle and Alternatives

• 
  Massimo Melucci: Can Information Retrieval Systems Be Improved Using Quantum Probability? 139-150
• 
  Guido Zuccon, Leif Azzopardi, C. J. van Rijsbergen: An Analysis of Ranking Principles and Retrieval Strategies. 151-163
• 
  Robin Aly, Thomas Demeester: Towards a Better Understanding of the Relationship between Probabilistic Models in IR. 164-175

Interdisciplinary Approaches

• 
  Claudia Hauff, Geert-Jan Houben: Cognitive Processes in Query Generation. 176-187
• 
  Matt-Mouley Bouamrane, Craig Macdonald, Iadh Ounis, Frances Mair: Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews. 188-200
• 
  Wei Li, Debasis Ganguly, Gareth J. F. Jones: Enhanced Information Retrieval Using Domain-Specific Recommender Models. 201-212

User and Relevance

• 
  M-Dyaa Albakour, Udo Kruschwitz, Nikolaos Nanas, Dawei Song, Maria Fasli, Anne N. De Roeck: Exploring Ant Colony Optimisation for Adaptive Interactive Search. 213-224
• 
  Matthias Hagen, Benno Stein: Applying the User-over-Ranking Hypothesis to Query Formulation. 225-237
• 
  Dell Zhang, Robert Mao, Haitao Li, Joanne Mao: How to Count Thumb-Ups and Thumb-Downs: User-Rating Based Ranking of Items from an Axiomatic Perspective. 238-249

Result Diversification and Query Disambiguation

• 
  Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis: Aggregated Search Result Diversification. 250-261
• 
  Silvia Calegari, Fabio Farina, Gabriella Pasi: Topical Categorization of Search Results Based on a Domain Ontology. 262-273
• 
  Dmitri Roussinov: Towards Semantic Category Verification with Arbitrary Precision. 274-284

Logical Operators and Descriptive Approaches

• 
  Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro: Negation for Document Re-ranking in Ad-hoc Retrieval. 285-296
• 
  Miguel Martinez-Alvarez, Thomas Roelleke: A Descriptive Approach to Classification. 297-308

Posters

• 
  John A. Akinyemi, Charles L. A. Clarke: Do Subtopic Judgments Reflect Diversity? 309-312
• 
  Craig Macdonald, Nicola Tonellotto, Iadh Ounis: On Upper Bounds for Dynamic Pruning. 313-317
• 
  Kai Hui, Ben He, Tiejian Luo, Bin Wang: A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. 318-322
• 
  Hany Azzam, Thomas Roelleke: A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. 323-326
• 
  Teerapong Leelanupab, Guido Zuccon, Joemon M. Jose: A Query-Basis Approach to Parametrizing Novelty-Biased Cumulative Gain. 327-331
• 
  Peng Zhang, Dawei Song, Xiaozhao Zhao, Yuexian Hou: Investigating Query-Drift Problem from a Novel Perspective of Photon Polarization. 332-336
• 
  Yashar Moshfeghi, Guido Zuccon, Joemon M. Jose: Using Emotion to Diversify Document Rankings. 337-341
• 
  Gianni Amati, Alessandro Celi, Cesidio Di Nicola, Michele Flammini, Daniela Pavone: Improved Stable Retrieval in Noisy Collections. 342-345
• 
  Guido Zuccon, Benjamin Piwowarski, Leif Azzopardi: On the use of Complex Numbers in Quantum Models for Information Retrieval. 346-350
• 
  Jiyin He, Marc Bron, Maarten de Rijke: A Query Performance Analysis for Result Diversification. 351-355
• 
  Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ole Winther: Rare Disease Diagnosis as an Information Retrieval Task. 356-359
• 
  Emanuele Di Buccio, Giorgio Maria Di Nunzio: Distilling Relevant Documents by Means of Dynamic Quantum Clustering. 360-363
• 
  Claudia Hauff, Dolf Trieschnigg: Adding Emotions to Pictures. 364-367

last updated on Tue May 21 02:05:42 2013 by the dblp team
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