194 search results - page 6 / 39 » Learning to rank query reformulations |
102
Voted
ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
SEMWEB
2009
Springer
15 years 6 months ago
2009
Springer
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...
ACSC
2008
IEEE
15 years 6 months ago
2008
IEEE
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
ECIR
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...