Matrix factorization techniques for recommender systems

In this thesis we study two basic matrix factorization techniques used in recommender systems, namely batch and stochastic gradient descent. Furthermore, data from Epinions.com, consisting of 40163 users and 139738 items is studied and statistically analyzed into its characteristic classes (i.e. use...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mavridis, Andreas, Μαυρίδης, Ανδρέας
Other Authors:	Ampazis, Nicholas
Language:	en_US
Published:	2018
Subjects:	Gradient Descent Matrix Factorization Epinions Recommender Systems Συστήματα υποδείξεων Παραγοντοποίηση πινάκων Recommender systems (Information filtering) (URL: http://id.loc.gov/authorities/subjects/sh2007003098) Factorization method (Quantum theory) (URL: http://id.loc.gov/authorities/subjects/sh2007003571) Gradient
Online Access:	http://hdl.handle.net/11610/18038
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Matrix factorization techniques for recommender systems

Similar Items