Recommender Systems: Techniques, Applications, and Challenges

Francesco Ricci; Lior Rokach; Bracha Shapira

doi:https://doi.org/10.1007/978-1-0716-2197-4_1

Recommender Systems: Techniques, Applications, and Challenges

Francesco Ricci, Lior Rokach, Bracha Shapira

Department of Software and Information Systems Engineering

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	American English
Title of host publication	Recommender Systems Handbook
Subtitle of host publication	Third Edition
Editors	Bracha Shapira, Lior Rokach, Ricci Francesco
Publisher	Springer US
Pages	1-35
Number of pages	35
ISBN (Electronic)	9781071621974
ISBN (Print)	9781071621967
DOIs	https://doi.org/10.1007/978-1-0716-2197-4_1
State	Published - 22 Nov 2021

All Science Journal Classification (ASJC) codes

General Computer Science

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Cite this

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Recommender Systems: Techniques, Applications, and Challenges

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All Science Journal Classification (ASJC) codes

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