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ICML
1998
IEEE
16 years 2 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
WWW
2004
ACM
16 years 2 months ago
Computing personalized pageranks
A recently published approach to adaptive page rank, using the solution of quadratic optimization methods with a set of simple constraints [3], is modified to permit classificatio...
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchn...
WWW
2006
ACM
16 years 2 months ago
Topical TrustRank: using topicality to combat web spam
Web spam is behavior that attempts to deceive search engine ranking algorithms. TrustRank is a recent algorithm that can combat web spam. However, TrustRank is vulnerable in the s...
Baoning Wu, Vinay Goel, Brian D. Davison
WWW
2007
ACM
16 years 2 months ago
Web object retrieval
The primary function of current Web search engines is essentially relevance ranking at the document level. However, myriad structured information about real-world objects is embed...
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen,...
WWW
2009
ACM
16 years 2 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...