GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Product recommendation with interactive query management and twofold similarity
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Recommendation in Education Portal by Relation Based Importance Ranking
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
A collaborative constraint-based meta-level recommender
Proceedings of the 2008 ACM conference on Recommender systems
Case-studies on exploiting explicit customer requirements in recommender systems
User Modeling and User-Adapted Interaction
ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Influences of customer preference development on the effectiveness of recommendation strategies
Electronic Commerce Research and Applications
Exploiting user similarity based on rated-item pools for improved user-based collaborative filtering
Proceedings of the third ACM conference on Recommender systems
Time filtering for better recommendations with small and sparse rating matrices
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
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Recommender systems have a long tradition of reducing users' search costs by proposing items on the basis of users' preferences and aggregated information about other users. In e-commerce scenarios, different types of user preferences—implicitly collected ratings as well as explicitly formulated requirements—are available. The authors perform a comparative evaluation across different recommendation techniques, such as knowledge-based sales advisory and collaborative filtering, on a commercial data set. By making this data set publicly available, the authors hope to foster research efforts on the specific requirements of commercial shopping platforms.