Recommended systems in practice
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Online recommendation systems help to find films, work, restaurants on the network ... and even love! Based on statistical and demographic data, as well as on search queries, these systems give out the result interesting to the user, and this is a real art. Learn to create the right advisory systems: the success of the application depends on them!
The book shows how recommendation systems are arranged, how to create them and implement them on the site. First you get acquainted with the basic concepts, and then learn to collect user data and provide personal recommendations. You will learn how the most popular algorithms of recommendatory systems operate, and you will see examples of their work on sites such as Amazon and Netflix. The book also discusses the problems associated with increasing attendance, and other difficulties that you may encounter when the site begins to grow
The book shows how recommendation systems are arranged, how to create them and implement them on the site. First you get acquainted with the basic concepts, and then learn to collect user data and provide personal recommendations. You will learn how the most popular algorithms of recommendatory systems operate, and you will see examples of their work on sites such as Amazon and Netflix. The book also discusses the problems associated with increasing attendance, and other difficulties that you may encounter when the site begins to grow
Author:
Author:Falk Kim
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
ISBN:
ISBN:978-5-97060-774-9
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