812 search results - page 4 / 163 » Preference-based learning to rank |
197
Voted
ECIR
2011
Springer
14 years 11 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 ...
217
Voted
RECSYS
2010
ACM
15 years 5 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
189
Voted
SIGIR
2009
ACM
16 years 1 months ago
2009
ACM
This paper addresses the issue of automatically extracting keyphrases from document. Previously, this problem was formalized as classification and learning methods for classific...
169
Voted
COLT
2005
Springer
16 years 29 days ago
2005
Springer
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
191
Voted
ECML
2007
Springer
16 years 1 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...