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» Maximum Margin Ranking Algorithms for Information Retrieval
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ECIR
2010
Springer
13 years 9 months ago
A Case for Automatic System Evaluation
Ranking a set retrieval systems according to their retrieval effectiveness without relying on relevance judgments was first explored by Soboroff et al. [13]. Over the years, a numb...
Claudia Hauff, Djoerd Hiemstra, Leif Azzopardi, Fr...
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 6 months ago
Learning to rank for content-based image retrieval
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...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
WWW
2010
ACM
13 years 7 months ago
SNDocRank: document ranking based on social networks
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
ECIR
2009
Springer
13 years 5 months ago
PathRank: Web Page Retrieval with Navigation Path
Abstract. This paper describes a path-based method to use the multi-step navigation information discovered from website structures for web page ranking. Use of hyperlinks to enhanc...
Jianqiang Li, Yu Zhao 0002
SIGIR
2006
ACM
14 years 1 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova