%0 Journal Article
%A CHEN Ye
%A LIU Zhiqiang
%T Research on Improved Recommendation Algorithm Based on LFM Matrix Factorization
%D 2019
%R 10.3778/j.issn.1002-8331.1709-0347
%J Computer Engineering and Applications
%P 116-120
%V 55
%N 2
%X In the field of recommendation system, the Recommendation Algorithms（RA） based on matrix factorization is one of research hotspots. To improve the problem, this paper focuses on the algorithm improvement of Latent Factor Model（LFM） in the matrix factorization based RA algorithms. Two basic algorithms are modified to provide more accurate outcomes. Finally, a numerical example, which is used to carry out comparative study among different algorithms, proves that the improved algorithm is better than previous works.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1709-0347