『情報推薦システム入門：理論と実践 』（原書） Recommender Systems : An Introduction

Jannach, Dietmar/ Zanker, Markus/ Felfernig, Alexander

Cambridge University Press（2010/09発売）

• 製本 Hardcover:ハードカバー版／ページ数 352 p.
• 言語 ENG
• 商品コード 9780521493369
• DDC分類 381.142

基本説明

邦訳:2012年6月・共立出版。推薦システムに関する基本的な技術から最先端のトピックまでを体系的にまとめた入門書。

Full Description

In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.

Contents

1. Introduction; Part I. Introduction into Basic Concepts: 2. Collaborative recommendation; 3. Content-based recommendation; 4. Knowledge-based recommendation; 5. Hybrid recommendation approaches; 6. Explanations in recommender systems; 7. Evaluating recommender systems; 8. Case study - personalized game recommendations on the mobile Internet; Part II. Recent Developments: 9. Attacks on collaborative recommender systems; 10. Online consumer decision making; 11. Recommender systems and the next-generation Web; 12. Recommendations in ubiquitous environments; 13. Summary and outlook.