Recommender Systems: Introduction and Challenges

Francesco Ricci; Lior Rokach; Bracha Shapira

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

Back

Recommender Systems: Introduction and Challenges

Book chapter

Peer reviewed

Recommender Systems: Introduction and Challenges

Francesco Ricci, Lior Rokach and Bracha Shapira

Recommender Systems Handbook, pp.1-34

Springer

2015

DOI: https://doi.org/10.1007/978-1-4899-7637-6_1

Handle:

https://hdl.handle.net/10863/26105

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.

Files and links (1)

url

http://link.springer.com/chapter/10.1007/978-1-4899-7637-6_1View

Details

Title: Recommender Systems: Introduction and Challenges
Creators: Francesco Ricci - Free University of Bozen-Bolzano
Lior Rokach - Ben-Gurion University of the Negev
Bracha Shapira - Ben-Gurion University of the Negev
Publication Details: Recommender Systems Handbook, pp.1-34
ISBN: 9781489976369
EISBN: 9781489976376
Publisher: Springer
Boston, MA
Format: Print
Number of pages: 35
Identifiers: 978-1-4899-7636-9
(UNIBZ)903020
991006438998001241
Scopus ID: 2-s2.0-84956717748
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Book chapter
Author Names String: Ricci F, Rokach L, Shapira B

Metrics

9 Record Views

See more details