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Basic Approaches in Recommendation Systems

EasyChair Preprint no. 9420

24 pagesDate: December 4, 2022


This 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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Konstantin Kundegraber and Sabrina Pletzl},
  title = {Basic Approaches in Recommendation Systems},
  howpublished = {EasyChair Preprint no. 9420},

  year = {EasyChair, 2022}}
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