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» Document Retrieval using a Probabilistic Knowledge Model
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113
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SIGIR
2002
ACM
15 years 2 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
135
Voted
IJCAI
2003
15 years 4 months ago
A Learning Algorithm for Web Page Scoring Systems
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...
Michelangelo Diligenti, Marco Gori, Marco Maggini
264
Voted
ICDE
2008
IEEE
241views Database» more  ICDE 2008»
16 years 4 months ago
PictureBook: A Text-and-Image Summary System for Web Search Result
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfa...
Baile Shi, Guoyu Hao, Hongtao Xu, Mei Wang, Qi Zha...
146
Voted
WWW
2011
ACM
14 years 9 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
152
Voted
UAI
2000
15 years 4 months ago
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge about the known preferenc...
David M. Pennock, Eric Horvitz, Steve Lawrence, C....