62 search results - page 6 / 13 » Cost-Sensitive Learning of SVM for Ranking |
137
Voted
ECIR
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
128
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ACMSE
2010
ACM
14 years 8 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
145
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SEAL
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
135
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
This paper is concerned with the generalization ability of learning to rank algorithms for information retrieval (IR). We point out that the key for addressing the learning proble...
185
Voted
IR
2011
14 years 8 months ago
2011
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...