Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1638-1642

Recommendation algorithm combining theme model

Cao Zhanwei
Hu Xiaopeng
School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0811

Abstract

In order to solve the problem of cold start and data sparsity for traditional collaborative filtering recommendation algorithm, and the accuracy of similarity measurement, this paper proposed a matrix decomposition recommendation algorithm based on the LDA theme model. Firstly, it used the improved LDA algorithm to output the project-topic distribution, using the perplexity as the modified function of the subject number. Secondly, it calculated the similarity matrix of the project based on the cosine similarity and the KL divergence, combining the obtained similarity matrix with the original scoring training set to output the pre score, and then filled the preliminary score to the training set. Finally, it input the training set to ALS matrix decomposition algorithm to get the recommended results. The experimental results of the MovieLens data set show that the proposed algorithm can get a smaller MAE values than the traditional ALS algorithm under different implicit parameter settings and it greater than traditional recommdation algorithm. The experiment shows that the results of the ALS algorithm are better than other algorithms by integrating the LDA theme model.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0811
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1638-1642
Serial Number: 1001-3695(2019)06-008-1638-05

Publish History

[2019-06-05] Printed Article

Cite This Article

曹占伟, 胡晓鹏. 一种结合主题模型的推荐算法 [J]. 计算机应用研究, 2019, 36 (6): 1638-1642. (Cao Zhanwei, Hu Xiaopeng. Recommendation algorithm combining theme model [J]. Application Research of Computers, 2019, 36 (6): 1638-1642. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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