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» Ranking Retrieval Systems with Partial Relevance Judgements
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CIKM
2011
Springer
14 years 1 months ago
Conkar: constraint keyword-based association discovery
In many domains, such as bioinformatics, cheminformatics, health informatics and social networks, data can be represented naturally as labeled graphs. To address the increasing ne...
Mo Zhou, Yifan Pan, Yuqing Wu
EDBT
2008
ACM
202views Database» more  EDBT 2008»
16 years 1 months ago
BeMatch: a platform for matchmaking service behavior models
The capability to easily find useful services (software applications, software components, scientific computations) becomes increasingly critical in several fields. Current approa...
Juan Carlos Corrales, Daniela Grigori, Mokrane Bou...
WWW
2010
ACM
15 years 4 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
IRI
2007
IEEE
15 years 7 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
ECIR
2008
Springer
15 years 2 months ago
Using Clicks as Implicit Judgments: Expectations Versus Observations
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...