Recommender Systems: An Introduction (English Edition)

Recommender Systems: An Introduction (English Edition)

作者
Dietmar Jannach、Markus Zanker、Alexander Felfernig、Gerhard Friedrich
语言
英语
出版社
Cambridge University Press
出版日期
2010年9月30日
纸书页数
353页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
8120 KB
下载次数
3062
更新日期
2023-05-31
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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.

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