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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
13 years 11 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
13 years 11 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine usersā€™ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
ICADL
2010
Springer
160views Education» more  ICADL 2010»
13 years 11 months ago
Thesaurus Extension Using Web Search Engines
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending ex...
Robert Meusel, Mathias Niepert, Kai Eckert, Heiner...
BDA
2001
13 years 7 months ago
Querying RDF Descriptions for Community Web Portals
Community Web Portals (e.g., digital libraries, vertical aggregators, infomediaries) have become quite popular nowadays in supporting specific communities of interest on corporate...
Gregory Karvounarakis, Vassilis Christophides, Dim...
DSS
2008
133views more  DSS 2008»
13 years 6 months ago
A semantic-expansion approach to personalized knowledge recommendation
The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural tr...
Ting-Peng Liang, Yung-Fang Yang, Deng-Neng Chen, Y...