Recommender Systems 在线电子书 图书标签: 推荐系统 数据挖掘 机器学习 recommender 计算机科学 计算机 算法 recsys
发表于2025-02-26
Recommender Systems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
入门佳作,轻松愉悦
评分這書不錯,就是內容有點過時
评分读过中文版的,还不错。内容比较好
评分這書不錯,就是內容有點過時
评分這書不錯,就是內容有點過時
作者简介:
Dietmar Jannach
是德国的多特蒙德工业大学(Technische Universität Dortmund)计算机科学系客座教授。他发表过一百多篇科学论文,是《应用智能》杂志编委会和《国际电子商务杂志》评审委员会成员。
Markus Zanker
是奥地利克拉根福阿尔卑斯-亚德里大学(Alpen-Adria Universität Klagenfurt)应用信息学系助理教授及信息管理研究项目主任。他还是《人机交互研究国际杂志》的副主编和 ConfigWorks GmbH的共同创始人及执行总监。
Review
'Behind the modest title of 'An Introduction' lies the type of work the field needs to consolidate its learning and move forward to address new challenges. Across the chapters that follow lie both a tour of what the field knows well - a diverse collection of algorithms and approaches to recommendation - and a snapshot of where the field is today as new approaches derived from social computing and the semantic web find their place in the recommender systems toolbox. Let's all hope this worthy effort spurs yet more creativity and innovation to help recommender systems move forward to new heights.' Joseph A. Konstan, from the Foreword
Product 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.
书非常赞,5★。 以下觉得不妥的地方,英文中也是存在的。 这里不是粪坑,意见不合可以讨论,不要搞人身攻击,谢谢。 ==============第二章:协同过滤推荐=================== error1:------------------------------------------------------------ P18,表2-5上一行—— ...
评分随着电子商务逐渐发展壮大,B2C的网站更是层出不穷,推荐系统越来越受到网络企业的重视。分析推荐系统日益流行的原因,总的来说有以下几个方面: 1、信息过剩和知识稀缺 Internet的迅速发展,为信息量的惊人膨胀提供了的土壤。大量的有用信息虽然为人们提供了更多的价值,然...
评分书非常赞,5★。 以下觉得不妥的地方,英文中也是存在的。 这里不是粪坑,意见不合可以讨论,不要搞人身攻击,谢谢。 ==============第二章:协同过滤推荐=================== error1:------------------------------------------------------------ P18,表2-5上一行—— ...
评分书非常赞,5★。 以下觉得不妥的地方,英文中也是存在的。 这里不是粪坑,意见不合可以讨论,不要搞人身攻击,谢谢。 ==============第二章:协同过滤推荐=================== error1:------------------------------------------------------------ P18,表2-5上一行—— ...
评分随着电子商务逐渐发展壮大,B2C的网站更是层出不穷,推荐系统越来越受到网络企业的重视。分析推荐系统日益流行的原因,总的来说有以下几个方面: 1、信息过剩和知识稀缺 Internet的迅速发展,为信息量的惊人膨胀提供了的土壤。大量的有用信息虽然为人们提供了更多的价值,然...
Recommender Systems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025