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ADC
2009
Springer
113views Database» more  ADC 2009»
16 years 1 months ago
Ranking-Constrained Keyword Sequence Extraction from Web Documents
Given a large volume of Web documents, we consider problem of finding the shortest keyword sequences for each of the documents such that a keyword sequence can be rendered to a g...
Ding-Yi Chen, Xue Li, Jing Liu, Xia Chen
177
Voted
SIGIR
2009
ACM
16 years 1 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
AINA
2008
IEEE
16 years 1 months ago
Optimal Resource Discovery Paths of Gnutella2
This paper shows that the performance of peer-to-peer resource discovery algorithms is upper bounded by a k-Steiner minimum tree and proposes an algorithm locating near-optimal qu...
Mikko Vapa, Annemari Auvinen, Yevgeniy Ivanchenko,...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 26 days ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
SIGIR
2005
ACM
16 years 8 days ago
Predicting query difficulty on the web by learning visual clues
We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...