Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web
User Modeling and User-Adapted Interaction
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Fuzzy Linguistic Summaries in Rule-Based Adaptive Hypermedia Systems
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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Personalization is becoming more and more important in any e-commerce application. However, nowadays it is primarily used to personalize web-pages whereas newsletters are in most cases static, i.e., independent of the customer's profile.In this paper we introduce a method for personalizing newsletters based on fuzzy IF-THEN rules. The key intention for using fuzzy rules (instead of crisp rules) is to provide a framework that can easily be used to express vague concepts as they are frequently used in marketing issues. In particular, fuzzy rules are easy to understand (and define) for human operators like marketing experts.Our approach makes use of multistage inference. This guarantees that the definition of the rulebase can be done in a modular fashion and hence the reuse of rules is directly supported.