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» Maximum Margin Ranking Algorithms for Information Retrieval
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WWW
2004
ACM
14 years 8 months ago
Best bets: thousands of queries in search of a client
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Giuseppe Attardi, Andrea Esuli, Maria Simi
ECIR
2007
Springer
13 years 9 months ago
Results Merging Algorithm Using Multiple Regression Models
: This paper describes a new algorithm for merging the results of remote collections in a distributed information retrieval environment. The algorithm makes use only of the ranks o...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
ICML
2008
IEEE
14 years 8 months ago
Query-level stability and generalization in learning to rank
This paper is concerned with the generalization ability of learning to rank algorithms for information retrieval (IR). We point out that the key for addressing the learning proble...
Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang...
WWW
2009
ACM
14 years 8 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
CIKM
2009
Springer
14 years 2 months ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges