2164 search results - page 13 / 433 » Learning to rank for information retrieval |
TREC
2003
13 years 9 months ago
2003
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
SIGIR
2009
ACM
2009
ACM
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
14 years 2 months ago
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
WWW
2011
ACM
13 years 2 months ago
2011
ACM
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...