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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Interactive recommendation method combining text enhancement and deep reinforcement learning

Zhang Xiaoyua
Mei Hongyanb
Hu Siyua
Zhao Entongb
Liaoning University of Technology, a. School of Electronics & Information Engineering, b. School of Software, Jinzhou 121000, Liaoning, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0155

Abstract

To address the data-sparsity bottleneck and the inefficiency caused by large discrete action spaces in interactive recommender systems (IRS) , the paper propose TDIRS—an interactive recommendation method that tightly integrates text enhancement with deep reinforcement learning. The method first leverage rich textual information to generate expressive embeddings and build a deep reinforcement-learning model powered by multi-head attention to capture users’ evolving preferences, thereby mitigating sparsity. Simultaneously, the algorithm design a dynamic candidate-action generator that fuses item popularity with embedding representations to identify items that truly interest the user and to shrink the action space, boosting recommendation efficiency. Extensive experiments on the Music dataset and others confirm that TDIRS outperforms all baselines on core metrics, achieving up to a 7 % lift in HR@10 and validating the effectiveness of the approach.

Foundation Support

国家自然科学基金资助项目(12371363)
辽宁省教育厅面上项目(JYTMS20230869)
国家级大学生创新训练计划(202410154001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0155
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-08-20] Accepted Paper

Cite This Article

张晓宇, 梅红岩, 胡思雨, 等. 融合文本增强与深度强化学习的交互式推荐方法 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-21). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0155. (Zhang Xiaoyu, Mei Hongyan, Hu Siyu, et al. Interactive recommendation method combining text enhancement and deep reinforcement learning [J]. Application Research of Computers, 2025, 42 (12). (2025-08-21). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0155. )

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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