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» Maximum Margin Ranking Algorithms for Information Retrieval
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SIGIR
2005
ACM
14 years 1 months ago
Controlling overlap in content-oriented XML retrieval
The direct application of standard ranking techniques to retrieve individual elements from a collection of XML documents often produces a result set in which the top ranks are dom...
Charles L. A. Clarke
SIGIR
2004
ACM
14 years 1 months ago
Configurable indexing and ranking for XML information retrieval
Indexing and ranking are two key factors for efficient and effective XML information retrieval. Inappropriate indexing may result in false negatives and false positives, and impro...
Shaorong Liu, Qinghua Zou, Wesley W. Chu
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 8 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
SIGIR
2006
ACM
14 years 1 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
14 years 9 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...