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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. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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