513 search results - page 19 / 103 » Learning Models for Ranking Aggregates |
184
Voted
ICML
2007
IEEE
16 years 7 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...
171
click to vote
WSDM
2010
ACM
16 years 3 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...
179
Voted
SIGIR
2006
ACM
16 years 2 days 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 ...
163
click to vote
EMNLP
2009
15 years 3 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...
162
click to vote
ICML
2008
IEEE
16 years 7 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...