【独家放送】【2019新书】Practical Recommender Systems-经管之家官网！

Recommender systems are practically a necessity for keeping a site's content current, useful, and interesting to visitors. Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance.

Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Table of content

Part 1 Getting ready for recommender systems
1What is a recommender
2User behavior and how to collect it
3Monitoring the system
4Ratings and how to calculate them
5Non-personalized recommendations
6The user (and content) who came in from the cold

Part 2 Recommender algorithms
7Finding similarities among users and among content
8Collaborative filtering in the neighborhood
9Evaluating and testing your recommender
10Content-based filtering
11Finding hidden genres with matrix factorization
12Taking the best of all algorithms: Implementing hybridrecommenders
13Ranking and learning to rank
14Future of recommender systems

扫码或添加微信号：坛友素质互助

「经管之家」APP：经管人学习、答疑、交友，就上经管之家！
免流量费下载资料----在经管之家app可以下载论坛上的所有资源，并且不额外收取下载高峰期的论坛币。
涵盖所有经管领域的优秀内容----覆盖经济、管理、金融投资、计量统计、数据分析、国贸、财会等专业的学习宝库，各类资料应有尽有。
来自五湖四海的经管达人----已经有上千万的经管人来到这里，你可以找到任何学科方向、有共同话题的朋友。
经管之家（原人大经济论坛），跨越高校的围墙，带你走进经管知识的新世界。
扫描下方二维码下载并注册APP