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Recommender Systems HandbookRecommender Systems: Introduction and Challenges

Recommender Systems Handbook: Recommender Systems: Introduction and Challenges [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Recommender Systems HandbookRecommender Systems: Introduction and Challenges

Editors: Ricci, Francesco; Rokach, Lior; Shapira, Bracha
Recommender Systems Handbook — Jul 15, 2015

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References (56)

Publisher
Springer US
Copyright
© Springer Science+Business Media New York 2015
ISBN
978-1-4899-7636-9
Pages
1 –34
DOI
10.1007/978-1-4899-7637-6_1
Publisher site
See Chapter on Publisher Site

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.]

Published: Jul 15, 2015

Keywords: Recommender System; Recommendation Algorithm; Recommendation Technique; Recommendation List; Normalize Discount Cumulative Gain

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