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» Ranking Retrieval Systems with Partial Relevance Judgements
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MM
2004
ACM
152views Multimedia» more  MM 2004»
15 years 6 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
SIGIR
2008
ACM
15 years 1 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
CIKM
2011
Springer
14 years 1 months ago
The impact of author ranking in a library catalogue
The field of information retrieval has witnessed over 50 years of research on retrieval methods for metadata descriptions and controlled indexing languages, the prototypical exam...
Jaap Kamps
ANLP
2000
127views more  ANLP 2000»
15 years 2 months ago
Answer Extraction
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
Steven P. Abney, Michael Collins, Amit Singhal
SIGIR
2010
ACM
15 years 5 months ago
Comparing click-through data to purchase decisions for retrieval evaluation
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten ...