Open Access
Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
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Article Number | 01014 | |
Number of page(s) | 9 | |
Section | Reinforcement Learning and Optimization Techniques | |
DOI | https://doi.org/10.1051/itmconf/20257301014 | |
Published online | 17 February 2025 |
- Sun Chunhua, Li Pengzhen, Kong Meng, et al. Personalized combination recommendation method for products based on the multi-armed bandit algorithm: CN202111483208.X[P]. CN202111483208.X[2024-10-23]. [Google Scholar]
- Zhang Yifei, Cheng Fan, Zhang Dongmei. A movie and TV works recommendation method based on the multi-armed bandit algorithm: CN202110091259.1[P]. CN112733004A[2024-10-23]. Books [Google Scholar]
- Zheng Cao. Research on Thompson Sampling recommendation algorithm based on context-awareness [J]. Modern Computer, 2019(7):3. DOI: CNKI:SUN:XDJS.0.2019- 07-006. [Google Scholar]
- Ma Rui, He Jinyuan, Wang Xuefei, Wang Xiajing, Li Binbin, Hu Changzhen. Fuzzy test case mutation method based on Thompson Sampling [J]. Journal of Beijing Institute of Technology (Natural Science Edition), 2020, 40(12): 1307-1313. DOI: 10.15918/j.tbit1001-0645.2019.256. [Google Scholar]
- Wang Gaozhi, Xiao Jing. A multi-armed bandit recommendation algorithm based on content and nearest neighbor algorithm [J]. Journal of South China Normal University (Natural Science Edition), 2019(1):8. DOI: CNKI:SUN:HNSF.0.2019-01-020. [Google Scholar]
- Statistics. Research on personalized recommendation algorithms based on rating systems [D]. 2023. [Google Scholar]
- Xu Hailing, Wu Xiao, Li Xiaodong, et al. Comparative study on internet recommendation systems [J]. Journal of Software, 2009(002):020. [Google Scholar]
- Nícollas Silva, Heitor Werneck, Thiago Silva, Adriano C.M. Pereira, and Leonardo Rocha. 2022. Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions. Expert Syst. Appl. 197, C (Jul 2022). [Google Scholar]
- Odeyomi, O.T. (2020). Learning the Truth in Social Networks Using Multi-Armed Bandit. IEEE Access, 8, 137692-137701. [CrossRef] [Google Scholar]
- Narayanan, A. (2023). Understanding Social Media Recommendation Algorithms. In Knight First Amendment Institute: Algorithmic Amplification and Society (Knight First Amendment Institute, April 26). [PDF file available: Narayanan---Understanding- Social-Media-Recommendation-Algorithms_1-7.pdf] [Google Scholar]
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