63 search results - page 1 / 13 » Online learning for recency search ranking using real-time u... |
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
ICVS
2009
Springer
13 years 11 months ago
2009
Springer
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...