91 search results - page 16 / 19 » Learning Ranking vs. Modeling Relevance |
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
EMNLP
2010
13 years 5 months ago
2010
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
UM
2010
Springer
13 years 11 months ago
2010
Springer
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...