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Algorithm Research & Explore
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1330-1336

Convolutional with word and heterogeneous information network for academic paper recommendation

Wu Junchao
Liu Baisong
Shen Xiaofeng
Zhang Xueyuan
Faculty of Electrical Engineering & Computer Sciences, Ningbo University, Ningbo Zhejiang 315211, China

Abstract

In view of the problems of data sparsity and the diversity in academic paper recommender systems, based on CONV-NCF, this paper proposed an algorithm of convolution with word and heterogeneous information network for academic paper recommendation(WN-APR). Firstly, WN-APR algorithm learned user and paper's diverse features from different semantics to alleviate the sparsity problem. Then it designed an outer product fusing way to seamlessly combine user features with paper features. Replacing of 2D CNN, this algorithm applied 3D convolution to mine the influence of different features on the performance. Finally, it modified the BPR loss function to enhance diversity in recommendations. Experimental results on CiteULike-a and CiteULike-t datasets show that WN-APR improves the performance of accuracy and diversity over the baseline models.

Foundation Support

浙江省自然科学基金资助项目(LZ20F020001)
国家自然科学基金资助项目(61472194)
宁波市自然科学基金资助项目(2021J091)
宁波市2025重大专项科研项目(20211ZDYF020036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0443
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1330-1336
Serial Number: 1001-3695(2022)05-008-1330-07

Publish History

[2021-12-17] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

吴俊超, 刘柏嵩, 沈小烽, 等. 卷积融合文本和异质信息网络的学术论文推荐算法 [J]. 计算机应用研究, 2022, 39 (5): 1330-1336. (Wu Junchao, Liu Baisong, Shen Xiaofeng, et al. Convolutional with word and heterogeneous information network for academic paper recommendation [J]. Application Research of Computers, 2022, 39 (5): 1330-1336. )

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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