513 search results - page 15 / 103 » Learning Models for Ranking Aggregates |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
HICSS
2006
IEEE
15 years 3 months ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
74
Voted
AIRS
2010
Springer
14 years 7 months ago
2010
Springer
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
60
Voted
JMLR
2011
14 years 4 months ago
2011
WWW
2005
ACM
15 years 10 months ago
2005
ACM
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...