A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Application of a similarity measure of fuzzy sets to fuzzy relational equations
Fuzzy Sets and Systems - Special issue: fuzzy relations, part 2
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Some notes on similarity measure and proximity measure
Fuzzy Sets and Systems
The Wasabi Personal Shopper: a case-based recommender system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An Improved Recommendation Algorithm in Collaborative Filtering
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Promoting Recommendations: An Attack on Collaborative Filtering
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Content-based personalised recommendation in virtual shopping environment
International Journal of Business Intelligence and Data Mining
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By exploiting the concept of fuzzy similarity measures, this paper presents a hybrid recommendation framework that builds on the strengths of knowledge-based and collaborative filtering techniques. Following a multi-criteria approach, the proposed framework is able to provide users with a ranked list of alternatives, while it also permits them to submit their evaluations on the existing items of the database. Much attention is given to the extent to which the user evaluation may affect the values of the stored items. The applicability of our approach is demonstrated through an already implemented web-based tool, namely CityGuide, which provides recommendations about visiting different cities of a country. Issues related to the robustness of our framework and the selection of the appropriate similarity measure are also discussed.