Research on learning video recommendation system based on DBSCAN clustering algorithm

Xidong Liu; Xianwei Xue

doi:10.1117/12.3011632

7 December 2023 Research on learning video recommendation system based on DBSCAN clustering algorithm

Xidong Liu, Xianwei Xue

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129414B (2023) https://doi.org/10.1117/12.3011632
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In the era of big data, massive resources not only bring information to users, but also force them to spend a lot of time filtering and identifying information. In order to better meet people's personalized learning needs, utilizing user attributes and learning behavior data for user profiling and targeted resource recommendations has become a mainstream form of online learning mode. This article focuses on online video learning platforms primarily targeting college students, extracting feature datasets from platform users, using DBSCAN's clustering method to partition users into nearest neighbor sets, constructing labels for user profiles, and completing the construction of user profiles. Based on this, a personalized video learning resource recommendation method based on user interest and feature information fusion is proposed to provide users with personalized video learning resources. Compared with traditional online learning platforms, the user profile and hybrid recommendation methods proposed in this paper are more suitable for density-based clustering algorithm datasets with uncertain shape and number of clusters and can provide an effective analysis technique for video learning recommendation systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xidong Liu and Xianwei Xue "Research on learning video recommendation system based on DBSCAN clustering algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129414B (7 December 2023); https://doi.org/10.1117/12.3011632

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KEYWORDS

Video

Machine learning

Detection and tracking algorithms

Data modeling

Tunable filters

Databases

Data storage

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