Analysis of learning algorithms for collaborative recommendation systems
Published: 19.10.2013
Authors: Koroleva D.E., Filippov M.V.
Published in issue: #6(18)/2013
DOI: 10.18698/2308-6033-2013-6-816
Category: Information technology
This article is devoted to the collaborative filtering algorithms used in recommendation systems. The comparative analysis of these algorithms is carried out in terms of the criteria for the accuracy of the results and performance There is a description and the results of the algorithms, as well as recommendations for their use.