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Answer-set programming based dynamic user modeling for recommender systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4874 LNAI 29-42
DOI: 10.1007/978-3-540-77002-2_3
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Abstract

In this paper 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. © Springer-Verlag Berlin Heidelberg 2007.

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Leite, J., & Ilić, M. (2007). Answer-set programming based dynamic user modeling for recommender systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4874 LNAI, pp. 29–42). Springer Verlag. https://doi.org/10.1007/978-3-540-77002-2_3

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