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» Rank aggregation methods for the Web
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ECIR
2010
Springer
15 years 15 days 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
ICTIR
2009
Springer
15 years 5 months ago
PageRank: Splitting Homogeneous Singular Linear Systems of Index One
Abstract. The PageRank algorithm is used today within web information retrieval to provide a content-neutral ranking metric over web pages. It employs power method iterations to so...
Douglas V. de Jager, Jeremy T. Bradley
WWW
2011
ACM
14 years 6 months ago
Factal: integrating deep web based on trust and relevance
We demonstrate Factal—a system for integrating deep web sources. Factal is based on the recently introduced source selection method SourceRank; which is a measure of trust and r...
Raju Balakrishnan, Subbarao Kambhampati
SIGIR
2011
ACM
14 years 1 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
AAAI
2006
15 years 14 days ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer