Mining web browsing patterns for E-commerce
Computers in Industry
Extracting Actionable Knowledge from Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Envisioning intelligent information technologies through the prism of web intelligence
Communications of the ACM - Emergency response information systems: emerging trends and technologies
Relational peculiarity-oriented mining
Data Mining and Knowledge Discovery
Mining Impact-Targeted Activity Patterns in Imbalanced Data
IEEE Transactions on Knowledge and Data Engineering
Individual and group behavior-based customer profile model for personalized product recommendation
Expert Systems with Applications: An International Journal
Mining changes in customer buying behavior for collaborative recommendations
Expert Systems with Applications: An International Journal
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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Analysis ofWeb user browser behavior characteristics is a key technology in the domains, such as Initiative Web Information Retrieval and Information Recommendation. Taking into account the layout of Web pages, in this paper we constructed a user browse behavior characteristic (BC) tree based on the browsing history of Web users, and then established a new approach for analyzing Web user BC trees. This method delivers us the interesting topics of a user, the extent and depth of these topics, as well as the explanation of the frequency of accessing hierarchic block paths on web pages. We illustrated the efficiency with experiments, and demonstrated that the proposed approach is promising in Initiative Web Information Retrieval and Information Recommendation.