Download PDFOpen PDF in browserBasic Approaches in Recommendation SystemsEasyChair Preprint no. 942024 pages•Date: December 4, 2022AbstractThis paper aims to identify, collect and combine relevant literature about basic recommendation approaches. It covers four main types of recommenders: Collaborative filtering, content-based filtering, knowledge-based recommendation and hybrid recommendation. In addition, further approaches commonly described in scientific studies are briefly introduced. Furthermore, challenges of recommendation systems are discussed. The paper finally covers cognitive recommendation being a newly developed approach potentially counteracting various of the discussed challenges. The paper concludes with corresponding topics for further research. Keyphrases: case-based recommendation, Cognitive recommendation, collaborative filtering, Constraint-based Recommendation, content-based filtering, Critique-based recommendation, Demographic-based recommendation, Group-based Recommendation, hybrid recommendation, item-based, Knowledge-based Recommendation, user-based, Utility-based recommendation
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