Recommender systems: Introduction and challenges

Francesco Ricci; Bracha Shapira; Lior Rokach

doi:10.1007/978-1-4899-7637-6_1

Recommender systems: Introduction and challenges

Francesco Ricci, Bracha Shapira, Lior Rokach

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 included 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, Second Edition
Publisher	Springer US
Pages	1-34
Number of pages	34
ISBN (Electronic)	9781489976376
ISBN (Print)	9781489976369
DOIs	https://doi.org/10.1007/978-1-4899-7637-6_1
State	Published - 1 Jan 2015

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1007/978-1-4899-7637-6_1

Cite this

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Recommender systems: Introduction and challenges

Abstract

All Science Journal Classification (ASJC) codes

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