ERASP – a system for enhancing recommendations using answer-set programming
Manoela Ilić, João Alexandre Leite, Martin Slota · International Journal of Reasoning-based Intelligent Systems · 2009
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. We propose the introduction of dynamic logic programming – an extension of answer set programming – in recommender systems, as a means for users to specify and update their models with the purpose of enhancing recommendations.