Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1452-1458

Expert recommendation algorithm for Q&A community based on multi-head self-attention

Chen Yingting1
Lin Geng2
Chen Meng1
Chen Shuangmei1
Lin Xiaying1
Long Sujuan2
1. College of Computer & Information Sciences, Fujian Agriculture & Forestry University, Fuzhou 350002, China
2. College of Mathematics & Data Science(Software College), Minjiang University, Fuzhou 350108, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0467

Abstract

Expert recommendation is one of the research hotspots in the online Q&A community. However, the majority of the currently used algorithms concentrate on matching user's static interest and question information, ignoring the efficient capture of user's dynamic interest representation information, which results in a lack of recommendation accuracy. In order to address the aforementioned issues, this paper proposed an expert recommendation algorithm for the Q&A community that incorporated multi-head self-attention. Firstly, this algorithm built out question encoders of convolutional neural networks and attention mechanisms to process target question and user's historically answered questions, in order to extract the corresponding question representations. Secondly, it treated the sequence of user's historically answered questions as a time series and used the multi-head self-attention mechanism to learn the dynamic interest representations hidden in the sequence, and combined with the user's static interest representations to obtain the user's comprehensive interest representations. Finally, it calculated the similarity between the target question representation and the comprehensive user representation to generate recommendation results. Based on the real data from the Zhihu Q&A community, the experimental results show that the performance of this algorithm is significantly better than the current popular expert recommendation algorithm.

Foundation Support

国家自然科学基金资助项目(12001259)
福建省自然科学基金重点项目(2022J02050)
福建省自然科学基金资助项目(2020J01843)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0467
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1452-1458
Serial Number: 1001-3695(2023)05-026-1452-07

Publish History

[2022-12-09] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

陈颖婷, 林耿, 陈梦, 等. 融合多头自注意力的问答社区专家推荐算法 [J]. 计算机应用研究, 2023, 40 (5): 1452-1458. (Chen Yingting, Lin Geng, Chen Meng, et al. Expert recommendation algorithm for Q&A community based on multi-head self-attention [J]. Application Research of Computers, 2023, 40 (5): 1452-1458. )

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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