551 search results - page 28 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
187
click to vote
SIGIR
2009
ACM
16 years 18 days ago
2009
ACM
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...
156
click to vote
ICASSP
2009
IEEE
16 years 26 days ago
2009
IEEE
Content-based retrieval has emerged as a promising approach to information access. In this paper, we propose an approach to music emotion ranking. Specifically, we rank music in t...
145
click to vote
SDM
2007
SIAM
15 years 7 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
180
click to vote
KDD
2010
ACM
15 years 10 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
189
click to vote
KDD
2012
ACM
13 years 8 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...