Fab: content-based, collaborative recommendation
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Communications of the ACM
Clustering Algorithms
Text-Learning and Related Intelligent Agents: A Survey
IEEE Intelligent Systems
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Usage-Centric Adaptation of Dynamic E-Catalogs
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A semantic query approach to personalized e-catalogs service system
Journal of Theoretical and Applied Electronic Commerce Research
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Research into personalisation issues in product catalogs has mainly been focused on recommender systems and the needs for building adaptive catalogs have been largely ignored. Catalogs are designed by system designers who have a priori expectations for how catalogs will be explored by users. It is necessary to consider how users are using catalogs since they may have different expectations. WebCatalogPers proposed a design and an implementation of a system through which integrated product catalogs are continuously adapted and restructured within a dynamic environment. The adaptation of integrated catalogs is based on the observation of customers' interaction patterns. In this paper, we extend the idea further by introducing the notion of liked minded people, where the same design principle of WebCatalogPers is applied to a group of people who share similar interests.