PDF⋙ Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen
Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen
Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen PDF, ePub eBook D0wnl0ad
Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.From reader reviews:
Timmy Gallegos:
The book Statistical Methods for Recommender Systems has a lot info on it. So when you read this book you can get a lot of profit. The book was published by the very famous author. Mcdougal makes some research ahead of write this book. This specific book very easy to read you can find the point easily after perusing this book.
Steven Slaughter:
Reading a book to get new life style in this year; every people loves to go through a book. When you read a book you can get a great deal of benefit. When you read ebooks, you can improve your knowledge, because book has a lot of information into it. The information that you will get depend on what types of book that you have read. If you wish to get information about your analysis, you can read education books, but if you want to entertain yourself look for a fiction books, such us novel, comics, and also soon. The Statistical Methods for Recommender Systems provide you with new experience in studying a book.
Marvin Boyer:
Don't be worry in case you are afraid that this book will certainly filled the space in your house, you may have it in e-book approach, more simple and reachable. This specific Statistical Methods for Recommender Systems can give you a lot of pals because by you considering this one book you have thing that they don't and make you more like an interesting person. This particular book can be one of a step for you to get success. This e-book offer you information that maybe your friend doesn't know, by knowing more than additional make you to be great individuals. So , why hesitate? Let us have Statistical Methods for Recommender Systems.
Read Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen for online ebook
Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen Free PDF d0wnl0ad, audio books, books to read, good books to read, cheap books, good books, online books, books online, book reviews epub, read books online, books to read online, online library, greatbooks to read, PDF best books to read, top books to read Statistical Methods for Recommender Systems by Deepak K. Agarwal, Bee-Chung Chen books to read online.
Komentar
Posting Komentar