Review and Implementation of Common Statistical Methods for Recommender Systems

preview-18
  • Review and Implementation of Common Statistical Methods for Recommender Systems Book Detail

  • Author : Candace Jennifer McKeag
  • Release Date : 2021
  • Publisher :
  • Genre :
  • Pages : 55
  • ISBN 13 :
  • File Size : 64,64 MB

Review and Implementation of Common Statistical Methods for Recommender Systems by Candace Jennifer McKeag PDF Summary

Book Description: As a result of today's massive information overload, the exploration and development of recommender systems is burgeoning. This paper consists of a comprehensive literature review in which the current knowledge surrounding statistical methods for recommender systems is outlined and evaluated. For each method, the theoretical premise and application-related aspects such as optimal use cases and common research problems are described. To round out the literature review, an implementation of several collaborative filtering techniques is conducted in order to apply the discussed theory and identify some advantages and disadvantages of the methods.

Disclaimer: www.yourbookbest.com does not own Review and Implementation of Common Statistical Methods for Recommender Systems books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Statistical Methods for Recommender Systems

Statistical Methods for Recommender Systems

File Size : 14,14 MB
Total View : 1498 Views
DOWNLOAD

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

Recommender Systems Handbook

Recommender Systems Handbook

File Size : 2,2 MB
Total View : 4658 Views
DOWNLOAD

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories