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» Ranking Approaches for Microblog Search
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WWW
2008
ACM
16 years 1 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...
96
Voted
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 5 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
ECIR
2008
Springer
15 years 1 months ago
A Comparison of Social Bookmarking with Traditional Search
Abstract. Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have...
Beate Krause, Andreas Hotho, Gerd Stumme
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
15 years 7 months ago
ApproxRank: Estimating Rank for a Subgraph
Abstract— Customized semantic query answering, personalized search, focused crawlers and localized search engines frequently focus on ranking the pages contained within a subgrap...
Yao Wu, Louiqa Raschid
ICDE
2010
IEEE
157views Database» more  ICDE 2010»
15 years 19 days ago
Subspace similarity search using the ideas of ranking and top-k retrieval
— There are abundant scenarios for applications of similarity search in databases where the similarity of objects is defined for a subset of attributes, i.e., in a subspace, onl...
Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-...