Logic programs with classical negation
Logic programming
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Communications of the ACM - Special issue on information filtering
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Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
User Modeling for Adaptive News Access
User Modeling and User-Adapted Interaction
Specifying Logic Programs in Controlled Natural Language
Specifying Logic Programs in Controlled Natural Language
Content-based recommendation systems
The adaptive web
Answer-set programming based dynamic user modeling for recommender systems
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
ETRICS'06 Proceedings of the 2006 international conference on Emerging Trends in Information and Communication Security
Operational semantics for DyLPs
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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User modelling and personalisation are the key aspects of recommender systems in terms of recommendation quality. While being very efficient and designed to work with huge amounts of data, present recommender systems often lack the facility of user integration when it comes to feedback and direct user modelling. In this paper we describe ERASP, an add-on to existing recommender systems which uses dynamic logic programming --- an extension of answer set programming --- as a means for users to specify and update their models, with the purpose of enhancing recommendations. We present promising experimental results.