266 search results - page 7 / 54 » Parallel learning to rank for information retrieval |
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
CIKM
2004
Springer
14 years 1 months ago
2004
Springer
We examine the problem of retrieving the top-m ranked items from a large collection, randomly distributed across an n-node system. In order to retrieve the top m overall, we must ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
CIKM
2005
Springer
13 years 9 months ago
2005
Springer
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
MIR
2010
ACM
13 years 6 months ago
2010
ACM
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...