Contributor biographical information for Statistical methods for recommender systems / Deepak K. Agarwal, Yahoo! Research, Bee Chung-Chen, Yahoo! Research.


Bibliographic record and links to related information available from the Library of Congress catalog


Biographical text provided by the publisher (may be incomplete or contain other coding). The Library of Congress makes no claims as to the accuracy of the information provided, and will not maintain or otherwise edit/update the information supplied by the publisher.


Counter
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.


Library of Congress subject headings for this publication:
Recommender systems (Information filtering) -- Statistical methods.
Expert systems (Computer science) -- Statistical methods.