12 search results - page 2 / 3 » A bayesian learning approach to promoting diversity in ranki... |
WSDM
2012
ACM
12 years 14 days ago
2012
ACM
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
MIR
2010
ACM
13 years 3 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
IRI
2007
IEEE
13 years 11 months ago
2007
IEEE
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...