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» New Approaches to Spoken Document Retrieval
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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 10 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 4 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
CIKM
2007
Springer
14 years 4 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
CIKM
2010
Springer
13 years 7 months ago
Modeling reformulation using passage analysis
Query reformulation modifies the original query with the aim of better matching the vocabulary of the relevant documents, and consequently improving ranking effectiveness. Previou...
Xiaobing Xue, W. Bruce Croft, David A. Smith
WWW
2008
ACM
14 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...