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

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	English
Title of host publication	Recommender Systems Handbook
Editors	Bracha Shapira, Lior Rokach, Ricci Francesco
Publisher	Springer New York
Pages	1-35
Number of pages	35
ISBN (Print)	978-1-0716-2196-7
DOIs	https://doi.org/10.1007/978-1-0716-2197-4_1
State	Published - 2022

Publication series

Name	Recommender Systems Handbook
Publisher	Springer

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

Cite this

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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.",

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ER -

Recommender Systems: Techniques, Applications, and Challenges

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