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PRICAI
2010
Springer
13 years 3 months ago
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results
Relational search is a novel paradigm of search which focuses on the similarity between semantic relations. Given three words (A, B, C) as the query, a relational search engine ret...
Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala...
WEBI
2010
Springer
13 years 2 months ago
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as a...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...
WWW
2008
ACM
14 years 5 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CIKM
2010
Springer
13 years 3 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
BMCBI
2007
146views more  BMCBI 2007»
13 years 5 months ago
PubMed related articles: a probabilistic topic-based model for content similarity
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Jimmy J. Lin, W. John Wilbur