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SIGIR
2010
ACM
15 years 3 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
88
Voted
SIGIR
2002
ACM
14 years 11 months ago
Cross-lingual relevance models
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
Victor Lavrenko, Martin Choquette, W. Bruce Croft
CLEF
2007
Springer
15 years 5 months ago
Amharic-English Information Retrieval with Pseudo Relevance Feedback
We describe cross language retrieval experiments using Amharic queries and English language document collection from our participation in the bilingual ad hoc track at the CLEF 20...
Atelach Alemu Argaw
84
Voted
NLDB
2007
Springer
15 years 5 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
JUCS
2002
120views more  JUCS 2002»
14 years 11 months ago
Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
Lobna Jeribi, Béatrice Rumpler