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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

1. Recommender Systems: Introduction and Challenges

verfasst von : Francesco Ricci, Lior Rokach, Bracha Shapira

Erschienen in: Recommender Systems Handbook

Verlag: Springer US

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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 included in this handbook. Additionally, we aim to help the reader navigate the rich and detailed content that this handbook offers.

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Nächstes Kapitel A Comprehensive Survey of Neighborhood-Based Recommendation Methods
Fußnoten
1
This issue, convincing the user to accept a recommendation, is discussed again when we explain the difference between predicting the user interest in an item and the likelihood that the user will select the recommended item.
 
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Metadaten
Titel
Recommender Systems: Introduction and Challenges
verfasst von
Francesco Ricci
Lior Rokach
Bracha Shapira
Copyright-Jahr
2015
Verlag
Springer US
Buch
Recommender Systems Handbook

Print ISBN: 978-1-4899-7636-9

Electronic ISBN: 978-1-4899-7637-6

Copyright-Jahr: 2015

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

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