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» Adaptive relevance feedback in information retrieval
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SIGIR
2005
ACM
14 years 2 months ago
Accurately interpreting clickthrough data as implicit feedback
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...
CIKM
2009
Springer
14 years 3 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
CLEF
2006
Springer
14 years 15 days ago
Dublin City University at CLEF 2006: Cross-Language Speech Retrieval (CL-SR) Experiments
The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based...
Gareth J. F. Jones, Ke Zhang, Adenike M. Lam-Adesi...
AMR
2006
Springer
131views Multimedia» more  AMR 2006»
13 years 10 months ago
Aspects of Adaptivity in P2P Information Retrieval
Abstract. Peer-to-Peer networks are comprised of multiple independently administered computers (peers) that cooperate via a common protocol in order to achieve a goal common to the...
Wolfgang Müller 0002, Andreas Henrich, Martin...
SIGIR
2009
ACM
14 years 3 months ago
Query dependent pseudo-relevance feedback based on wikipedia
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
Yang Xu, Gareth J. F. Jones, Bin Wang