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» Automatic identification of the interests of web users
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GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 8 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
APWEB
2003
Springer
15 years 7 months ago
Extending a Web Browser with Client-Side Mining
Abstract. We present WBext (Web Browser extended), a web browser extended with client-side mining capabilities. WBext learns sophisticated user interests and browsing habits by tai...
Hongjun Lu, Qiong Luo, Yeuk Kiu Shun
ATAL
2004
Springer
15 years 7 months ago
QueryTracker: An Agent for Tracking Persistent Information Needs
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
Gabriel Somlo, Adele E. Howe
IAT
2007
IEEE
15 years 8 months ago
Investigating User Browsing Behavior
This paper describes our efforts to investigate factors in user browsing behavior to automatically evaluate Web pages that the user shows interest in. We developed a client site l...
Ganesan Velayathan, Seiji Yamada
ITCC
2005
IEEE
15 years 7 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou