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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3275-3280

Hybrid recommendation algorithm for removing popularity bias based on feature embedding

Li Peng
Zhu Xinru
Su Xinjie
School of Management, Harbin University of Commerce, Harbin 150028, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0193

Abstract

In order to solve the problem of strong popularity bias in recommendation lists generated by Bayesian personalized ranking(BPR) algorithm under the condition of unbalanced data, this paper designed a hybrid recommendation algorithm based on feature embedding to remove popularity bias. Firstly, this paper used convolutional neural network to extract user and item features to determine user preferences, and filled the original unbalanced data according to user preferences. Secondly, it embedded the user preference features extracted from convolutional neural network into the BPR algorithm for hybrid recommendation. Finally, it trained the mixed recommendation model with score filled data, and obtained the personalized ranking list without popularity bias. In order to verify the performance of the algorithm, this paper conducted the analysis and comparison experiments on MovieLens-100K and MovieLens-1M. Experimental results show that the popularity bias is reduced by about 50%~60% and the accuracy is improved by about twice.

Foundation Support

黑龙江省自然科学基金资助项目(LH2019F043)
哈尔滨商业大学青年科研项目(2019DS012)
2021年哈尔滨商业大学教师“创新”项目计划支持项目(LH2019F043)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0193
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3275-3280
Serial Number: 1001-3695(2022)11-011-3275-06

Publish History

[2022-07-04] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

李鹏, 朱心如, 苏忻洁. 基于特征嵌入的去流行度偏差混合推荐算法 [J]. 计算机应用研究, 2022, 39 (11): 3275-3280. (Li Peng, Zhu Xinru, Su Xinjie. Hybrid recommendation algorithm for removing popularity bias based on feature embedding [J]. Application Research of Computers, 2022, 39 (11): 3275-3280. )

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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