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Kurland, Oren - Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology
Passage language models in ad hoc document retrieval
Using Statistical Decision Theory and Relevance Models for Query-Performance Prediction
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-Document Similarities
The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters
Re-Ranking Search Results Using Document-Passage Michael Bendersky
Query-Drift Prevention for Robust Query Expansion Liron Zighelnic and Oren Kurland
Utilizing Passage-Based Language Models for Document Retrieval
Utilizing inter-passage and inter-document similarities for re-ranking search results
Towards Robust Query Expansion: Model Selection In The Language Modeling Framework
Cluster-Based Query Expansion Inna Gelfer Kalmanovich and Oren Kurland
Two are better than one! Re-ranking search results using an additional retrieved list
Respect My Authority! HITS Without Hyperlinks, Utilizing Cluster-Based Language Models
A Rank-Aggregation Approach to Searching for Optimal Query-Specific Clusters
On Identifying Representative Relevant Documents Fiana Raiber
INTER-DOCUMENT SIMILARITIES, LANGUAGE MODELS, AND AD HOC INFORMATION RETRIEVAL
Integrating Clusters Created Offline with Query-Specific Clusters for Document Retrieval
Predicting Query Performance by Query-Drift Anna Shtok1
Cluster-Based Fusion of Retrieved Lists Anna Khudyak Kozorovitsky
A Unified Framework for Post-Retrieval Query-Performance Prediction
Utilizing Minimal Relevance Feedback for Ad Hoc Retrieval Eyal Krikon