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» Learning to Harvest Information for the Semantic Web
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103
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
15 years 10 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
IJKL
2007
90views more  IJKL 2007»
14 years 9 months ago
Semantics-supported cooperative learning for enhanced awareness
: Awareness is required for supporting all forms of cooperation. In Computer Supported Collaborative Learning (CSCL), awareness can be used for enhancing collaborative opportunitie...
César A. Collazos, Roberto Garcia
CIKM
2006
Springer
15 years 1 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
JUCS
2008
196views more  JUCS 2008»
14 years 9 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
68
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HICSS
2009
IEEE
74views Biometrics» more  HICSS 2009»
15 years 4 months ago
SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources
This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines fo...
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, ...