513 search results - page 19 / 103 » Learning Models for Ranking Aggregates |
109
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
113
Voted
WSDM
2010
ACM
15 years 10 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
110
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SIGIR
2006
ACM
15 years 6 months ago
2006
ACM
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 ...
103
Voted
EMNLP
2009
14 years 10 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...