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28 March 2023 Sequential recommendations based on time series and dynamic interest for TV program
Tongtong Xing, Ruiling Fu, Jingxuan Min, Fulian Yin
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Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125664R (2023) https://doi.org/10.1117/12.2667261
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China
Abstract
Within the background of the rapid development of information technology, cable TV has lost plenty of users under the shock of audio-visual media. While the study of cable TV recommendation technology can be of use to provide users with personalized recommendations. For the problem that the sequence information of cable TV programs is made full use of in the current recommendation technology research, a sequential recommendations model based on time series and dynamic interest (SR-TSDI) is proposed in this paper. It alleviates the sparsity of the data and fully considers the user’s dynamic interest change process. Comprehensive experiment results improved by up to 6.09% in the accuracy indicator and 5.50% in the ranking indicator.
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Tongtong Xing, Ruiling Fu, Jingxuan Min, and Fulian Yin "Sequential recommendations based on time series and dynamic interest for TV program", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125664R (28 March 2023); https://doi.org/10.1117/12.2667261
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KEYWORDS
Data modeling
Performance modeling
Computer programming
Neural networks
Semantics
Technology
Artificial intelligence
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