Ebook BookStatistical Methods for Recommender Systems

[Free.gEnx] Statistical Methods for Recommender Systems

[Free.gEnx] Statistical Methods for Recommender Systems

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Book Details :
Published on: 2016-02-24
Released on:
Original language: English

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. Course Descriptions Department of Software and ... ITIS 5156. Computer-Aided Instruction. (3) Prerequisite: Permission of department. History of CAI; study of current CAI systems; development of man-machine dialogue ... Julkaisufoorumi - TSV Title: The name of the journal publication series or the book publisher. You may enter the whole name to search for a specific publication channel or use a specific ... UMUAI Homepage -- User Modeling and User-Adapted ... User Modeling and User-Adapted Interaction (UMUAI) provides an interdisciplinary forum for the dissemination of novel original research results about interactive ... Academic Hosting & Event Management Solutions Academic Conferences. Individual Researchers: Upcoming Conferences Call for paper using our system Learn more. Conference Organizers: Learn how to use our system to ... Browse Coursera Browse hundreds of courses and specializations in Business Computer Science Arts Humanities and more. 2000+ courses from schools like Stanford ... IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Neural Networks and Learning Systems publishes technical articles that deal with the theory design and applications of neural networks and ... STATISTICS - University of Washington COLLEGE OF ARTS & SCIENCES STATISTICS Detailed course offerings (Time Schedule) are available for. Winter Quarter 2017; Spring Quarter 2017; Summer Quarter 2017 Accepted Papers ICML New York City We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First we prove that the popular model of Dawid ... Amit Sharma - Postdoctoral Researcher Microsoft Research Prediction and Explanation in social systems: How complex predictive models can yield robust explanations Science 2017 Paper. Data mining for Instrumental ... Expert Systems with Applications - ScienceDirect.com Expert Systems with Applications Volume 77 In Progress Volume / Issue In ProgressA Volume/Issue that is "In Progress" contains final fully citable articles that are ...
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