Practical recommender systems
著者
書誌事項
Practical recommender systems
Manning, c2019
- : pbk
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Description
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.
Key features
* A behind the scenes look at recommender systems
* Hands-on lessons
* Step-by-step guide
Audience
This book assumes you're comfortable reading code in Python and have some experience with databases.
About the Technology
Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions.
「Nielsen BookData」 より
