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CIKM
2008
Springer
13 years 10 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
MM
2009
ACM
277views Multimedia» more  MM 2009»
14 years 2 months ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
HT
2009
ACM
14 years 2 months ago
Sixearch.org 2.0 peer application for collaborative web search
Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retri...
Namrata Lele, Le-Shin Wu, Ruj Akavipat, Filippo Me...
AAAI
2008
13 years 10 months ago
Semi-Supervised Ensemble Ranking
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
Steven C. H. Hoi, Rong Jin
HIM
1997
Springer
169views Multimedia» more  HIM 1997»
14 years 1 days ago
High Precision Hypertext Navigation Based on NLP Automatic Extractions
The growing popularity of hypertext navigation systems and the availability of large documentary databases is leading to the design of navigation systems that allow to explore the...
Frantz Vichot, Francis Wolinski, Joseph Tomeh, Syl...