3. ICTIR 2011: Bertinoro, Italy

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
  

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