16 search results - page 1 / 4 » Learning optimally diverse rankings over large document coll... |
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...