Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1349-1356

Multi-layer combination multi-order explicit interaction fusion recommendation model

Sun Weizhi
Ou Ou
Du Xuelei
Luo Kaiyao
College of Cyber Security & Technology(Oxford Brooks College), Chengdu University of Technology, Chengdu 610051, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0447

Abstract

While many current existing models focus on mining limited data in order to improve the click-rate prediction effect, the following problems arise simultaneously: the features are directly input into a unified neural network structure for mining and subsequently output regarding both the original and newly generated explicit ones, their representation will be great different. Additionally, if the multi-level neural network structure is adopted directly, it will also result in the loss of information at low layers such as the first layer and the second layer. The information with limited usefulness in some layers may produce noise to affect prediction if they are accumulated and combined directly. This paper designed a multi-level explicit interactive fusion recommendation model with a multi-level weight combination. It mined the original data and the generated multi-level explicit features into their corresponding self-attention layers, which had different layers of their corresponding structures. Meanwhile, it output after weighted each layer to complete the combination of layers, so as to improve the prediction effect of click rate. It shows that this model is able to mine explicit and implicit interactive features effectively and balance the ability of each order to represent features in an effective way, with the support of the comparison and analysis with several different models on two public data sets, as well as the ablation comparison experiment and super parameter comparison of the model.

Foundation Support

国家重点研发计划资助项目(2018YFF01013304)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0447
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1349-1356
Serial Number: 1001-3695(2022)05-011-1349-08

Publish History

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

Cite This Article

孙伟智, 欧鸥, 杜雪垒, 等. 多层结合的多阶显式交互的融合推荐模型 [J]. 计算机应用研究, 2022, 39 (5): 1349-1356. (Sun Weizhi, Ou Ou, Du Xuelei, et al. Multi-layer combination multi-order explicit interaction fusion recommendation model [J]. Application Research of Computers, 2022, 39 (5): 1349-1356. )

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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