Basic Approaches in Recommendation Systems

EasyChair Preprint 9420

Abstract

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: Cognitive recommendation, Constraint-based Recommendation, Critique-based recommendation, Demographic-based recommendation, Group-based Recommendation, Knowledge-based Recommendation, Utility-based recommendation, case-based recommendation, collaborative filtering, content-based filtering, hybrid recommendation, item-based, user-based

@booklet{EasyChair:9420,
  author    = {Konstantin Kundegraber and Sabrina Pletzl},
  title     = {Basic Approaches in Recommendation Systems},
  howpublished = {EasyChair Preprint 9420},
  year      = {EasyChair, 2022}}