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» Model-Based Cluster Analysis for Web Users Sessions
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IPM
2000
69views more  IPM 2000»
13 years 6 months ago
Real life, real users, and real needs: a study and analysis of user queries on the web
We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite, a major Internet search service. We provide data on: (i) sessions - changes in queries durin...
Bernard J. Jansen, Amanda Spink, Tefko Saracevic
LAWEB
2009
IEEE
14 years 1 months ago
A Model-Based Approach for Developing Vectorial User Interfaces
—This paper presents a model-based approach for developing vectorial user interfaces to an interactive applications, whether it is a web or a stand-alone applications. A vectoria...
Jean Vanderdonckt, Josefina Guerrero García...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 7 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
WISE
2005
Springer
14 years 15 days ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
DMKD
2000
ACM
165views Data Mining» more  DMKD 2000»
13 years 11 months ago
On Mining Web Access Logs
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Anupam Joshi, Raghu Krishnapuram