Big data-oriented film and television recommendation system and algorithm design

Gaofeng Xu

doi:10.1117/12.2655103

28 September 2022 Big data-oriented film and television recommendation system and algorithm design

Gaofeng Xu

Proceedings Volume 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022); 123391O (2022) https://doi.org/10.1117/12.2655103
Event: Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 2022, Chendu, China

Abstract

In today’s Internet age, the explosive growth of video resources makes users face a large number of video resources every day. However simple data search can no longer accurately obtain the data users really want. In some respects, the large amount of video data reduces the effective use of video resources by people. It is an urgent problem to provide users with better video recommendation services through data mining. This paper studies the film and television recommendation system and algorithm design oriented to big data, consults related literatures to have a simple understanding of the structure of the film and television recommendation system, then optimizes the recommendation algorithm, and designs the film and television recommendation system according to the optimized algorithm. Then the designed system is tested. The test results show the accuracy of the recommended system is increased by 2% after the improved algorithm. The stability of the recommended algorithm is not very high from the fluctuation degree of the error bar.

Citation Download Citation

Gaofeng Xu "Big data-oriented film and television recommendation system and algorithm design", Proc. SPIE 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 123391O (28 September 2022); https://doi.org/10.1117/12.2655103

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