Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Automatic personalization based on Web usage mining
Communications of the ACM
Communications of the ACM
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
An effective system for mining web log
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Discovering better navigation sequences for the session construction problem
Data & Knowledge Engineering
USER: user-sensitive expert recommendations for knowledge-dense environments
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Personalized links recommendation based on data mining in adaptive educational hypermedia systems
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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The more pages Web sites consist of, the more difficult the users find it to rapidly reach their own target pages. Ill-structured design of Web sites also prevents the users from rapidly accessing the target pages. In this paper, we describe two complementary approaches to Web usage mining as a key solution to these issues. First, we describe an adaptable recommendation system called the system L-R, which constructs user models by classifying the Web access logs and by extracting access patterns based on the transition probability of page accesses and recommends the relevant pages to the users based both on the user models and the Web contents. We have evaluated the prototype system and have obtained the positive effects. Second, we describe another approach to constructing user models, which clusters Web access logs based on access patterns. We also have found that the user models help to discover unexpected access paths corresponding to ill-formed Web site design.