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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
805-809

User preference network of fusing knowledge-aware and time-aware

Wu Yubin
Qi Yunsong
Institute of Computer Science, Jiangsu University of Science & Technology, Zhenjiang Jiangsu 212003, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0375

Abstract

In the field of knowledge-aware recommendation, embedding propagation methods can mine the structured information of the knowledge graph and also can obtained the semantic information between n-hop entities. However, with the increase of the spread, the embedding propagation method will lose part of the structure information, the user representation obtained in this way is coarse-grained and cannot adequately characterize the user's preferences. Aiming at these problems, this paper proposed an user preference network of fusing knowledge-aware and time-aware(FKTUPN). Firstly, FKTUPN generated the first-order embedding of the knowledge graph in the embedding-layer, and separately modeled the fine-grained user prefe-rence. Then it divided the time slot by random walk and performed temporal context encoding to get contextual information of KG. Subsequently, the contribution of the representation was distinguished and propagated through the knowledge-aware attention mechanism. Finally, it aggregated users and items of different propagation levels in the prediction layer, and obtained the recommendation result after multiplying these two representations. Experiments show that result on three datasets: Amazon-book, Last-FM and Yelp is superior to the baseline model in terms of recall@20 and NDCG@20, fine-grained user preference representation and full utilization of structured information can effectively improve the accuracy of recommendations.

Foundation Support

国家自然科学基金资助项目(62261029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0375
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 805-809
Serial Number: 1001-3695(2023)03-026-0805-05

Publish History

[2022-10-14] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

吴宇斌, 祁云嵩. 融合知识感知和时间感知的用户偏好网络 [J]. 计算机应用研究, 2023, 40 (3): 805-809. (Wu Yubin, Qi Yunsong. User preference network of fusing knowledge-aware and time-aware [J]. Application Research of Computers, 2023, 40 (3): 805-809. )

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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