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ICML
2009
IEEE
14 years 10 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
ICLP
2003
Springer
14 years 2 months ago
Concurrency, Time, and Constraints
Concurrent constraint programming (ccp) is a model of concurrency for systems in which agents (also called processes) interact with one another by telling and asking information in...
Frank D. Valencia
WWW
2002
ACM
14 years 9 months ago
Clustering for opportunistic communication
We describe ongoing work on I2I, a system aimed at fostering opportunistic communication among users viewing or manipulating content on the Web and in productivity applications. U...
Jay Budzik, Shannon Bradshaw, Xiaobin Fu, Kristian...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
WWW
2008
ACM
14 years 9 months ago
As we may perceive: finding the boundaries of compound documents on the web
This paper considers the problem of identifying on the Web compound documents (cDocs) ? groups of web pages that in aggregate constitute semantically coherent information entities...
Pavel Dmitriev