Knowledge-based recommender systems: overview and research directions

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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Bibliographic Details
Main Authors: Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Big Data
Subjects:
recommender systems
semantic recommender systems
knowledge-based recommender systems
case-based recommendation
constraint-based recommendation
critiquing-based recommendation
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2024.1304439/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2024.1304439/full

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