Recommender Systems: Techniques, Applications, and Challenges

Francesco Ricci, Lior Rokach, Bracha Shapira

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Recommender systems (RSs) are software tools and techniques that provide suggestions for items that are most likely of interest to a particular user. In this introductory chapter, we briefly discuss basic RS ideas and concepts. Our main goal is to delineate, in a coherent and structured way, the chapters in this handbook. Additionally, we aim to help the reader navigate the rich and detailed content that this handbook offers.
Original languageEnglish
Title of host publicationRecommender Systems Handbook
EditorsBracha Shapira, Lior Rokach, Ricci Francesco
PublisherSpringer New York
Pages1-35
Number of pages35
ISBN (Print)978-1-0716-2196-7
DOIs
StatePublished - 2022

Publication series

NameRecommender Systems Handbook
PublisherSpringer

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