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» Learning Ranking vs. Modeling Relevance
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IRI
2007
IEEE
15 years 3 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...
TREC
2008
14 years 11 months ago
A Hybrid Method for Opinion finding Task (KUNLP at TREC 2008 Blog Track)
This paper presents an approach for the Opinion Finding task at TREC 2008 Blog Track. For the Ad-hoc Retrieval subtask, we adopt language model to retrieve relevant documents. For...
Linh Hoang, Seung-Wook Lee, Gum-Won Hong, Joo-Youn...
IS
2007
14 years 9 months ago
A co-training framework for searching XML documents
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
Wilfred Ng, Ho Lam Lau
WWW
2009
ACM
15 years 10 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
WWW
2010
ACM
15 years 1 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...