Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data Mining and Personalization Technologies
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Avaliação comparativa de algoritmos de personalização para direcionamento de conteúdo
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Testing online navigation recommendations in a web site
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Who are the most influential users in a recommender system?
Proceedings of the 13th International Conference on Electronic Commerce
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With the advent of the Internet, there is a dramatic growth of data available on the World Wide Web. To reduce information overload and create customer loyalty, E-commerce businesses use Web Personalization, a significant tool that provides them with important competitive advantages. Despite the growing interest in personalized systems, it is difficult to implement such a system. This is because many business-critical issues must be considered before the appropriate personalization techniques can be identified. In this study, online businesses are classified into a number of categories. After that, personalization techniques that are used nowadays in E-commerce businesses are described. Finally, guidelines for selecting suitable personalization techniques for applications in each E-commerce business domain are proposed. The results of the study suggest that both customer-driven and business-driven personalization systems should be promoted on the site in order to increase customer satisfaction.