Items related to Practical Recommender Systems

Practical Recommender Systems - Softcover

Falk, Kim

 
9781617292705: Practical Recommender Systems

Synopsis

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.

 

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About the Author

Kim Falk is a Data Scientist at Adform, where he is working on recommender systems. He has experience in providing recommendations for large entertainment companies and working with big data solutions.

"About this title" may belong to another edition of this title.