Statistical Methods for Recommender Systems - Hardcover

Agarwal, Deepak K.; Chen, Bee-Chung

 
9781107036079: Statistical Methods for Recommender Systems
Hardcover
ISBN 10: 1107036070 ISBN 13: 9781107036079
Publisher: Cambridge University Press, 2016

Synopsis

This book provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and the state-of-the-art solutions in personalization.

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

About the Authors

Dr Deepak Agarwal is a big data analyst with more than fifteen years of experience developing and deploying state-of-the-art machine learning and statistical methods for improving the relevance of web applications. He is also experienced in conducting new scientific research to solve notoriously difficult big data problems, especially in the areas of recommender systems and computational advertising. He is a Fellow of the American Statistical Association and associate editor of two top-tier journals in statistics.

Dr Bee-Chung Chen is a Senior Staff Engineer and Applied Researcher at LinkedIn. He has been a key designer of the recommendation algorithms that power LinkedIn homepage and mobile feeds, Yahoo! homepage, Yahoo! News and other sites. Dr Chen is a leading technologist with extensive industrial and research experience. His research areas include recommender systems, machine learning and big data analytics.

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

Publisher
Cambridge University Press
Publication date
2016
Language
English
ISBN 10 
1107036070
ISBN 13 
9781107036079
Binding
Hardcover
Edition number
1
Number of pages
298