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» Learning to rank on graphs
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ECIR
2010
Springer
14 years 11 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
78
Voted
ICML
2007
IEEE
15 years 10 months ago
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann
WWW
2008
ACM
15 years 10 months ago
Ranking refinement and its application to information retrieval
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...
Rong Jin, Hamed Valizadegan, Hang Li
54
Voted
WWW
2007
ACM
15 years 10 months ago
Comparing apples and oranges: normalized pagerank for evolving graphs
PageRank is the best known technique for link-based importance ranking. The computed importance scores, however, are not directly comparable across different snapshots of an evolv...
Klaus Berberich, Srikanta J. Bedathur, Gerhard Wei...
WWW
2005
ACM
15 years 10 months ago
Incremental page rank computation on evolving graphs
Link Analysis has been a popular and widely used Web mining technique, especially in the area of Web search. Various ranking schemes based on link analysis have been proposed, of ...
Prasanna Kumar Desikan, Nishith Pathak, Jaideep Sr...