Knowledge-based recommender systems: overview and research directions

Recommender systems are decision support systems that help users to identify items of relevance from a potentially large set of alternatives. In contrast to the mainstream recommendation approaches of collaborative filtering and content-based filtering, knowledge-based recommenders exploit semantic...

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Autors principals:	Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2024-02-01
Col·lecció:	Frontiers in Big Data
Matèries:	recommender systems semantic recommender systems knowledge-based recommender systems case-based recommendation constraint-based recommendation critiquing-based recommendation
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fdata.2024.1304439/full
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