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ECML
2006
Springer
9 years 3 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
DASFAA
2004
IEEE
134views Database» more  DASFAA 2004»
9 years 3 months ago
Applying Co-training to Clickthrough Data for Search Engine Adaptation
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...
SIGIR
2006
ACM
9 years 5 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...
SIGIR
2009
ACM
9 years 6 months ago
A ranking approach to keyphrase extraction
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as classification and learning methods for classific...
Xin Jiang, Yunhua Hu, Hang Li
ISBI
2009
IEEE
9 years 6 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
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