241 search results - page 7 / 49 » Learning effective ranking functions for newsgroup search |
WSDM
2010
ACM
14 years 5 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...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...