194 search results - page 4 / 39 » Learning to rank query reformulations |
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
WEBNET
1998
13 years 6 months ago
1998
: Perusal of textual displays of document surrogates produced by Web-based ranked-output retrieval services may require much user time, effort, and money. In this paper we present ...
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
ECIR
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
ECIR
2011
Springer
12 years 8 months ago
2011
Springer
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...