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Statistical Methods for Recommender Systems By Deepak K. Agarwal, Bee-Chung Chen
Download PDF Statistical Methods for Recommender Systems By Deepak K. Agarwal, Bee-Chung Chen
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- Sales Rank: #536029 in eBooks
- Published on: 2015-12-31
- Released on: 2016-01-26
- Format: Kindle eBook
About the Author
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.
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