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This paper proposes a personalized resource recommendation model based on social tags, aiming to address the challenges of cold start and data sparsity, thereby enhancing the prediction accuracy of recommendation platforms. The model generates video tags by analyzing descriptive information, user annotations, and comments associated with videos, and constructs dynamic learner profiles. The similarity between video tags and learner profiles is calculated using Euclidean distance to recommend resources that meet learners\u2019 personalized needs. Experimental results demonstrate that, compared to traditional user-based and item-based collaborative filtering algorithms, our model achieves approximately 15% and 8% improvements in precision and recall. These findings not only enhance learning efficiency but also significantly improve learner engagement and loyalty, showcasing the model\u2019s significant application potential in the educational domain.<\/jats:p>","DOI":"10.1177\/14727978251321841","type":"journal-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T13:51:32Z","timestamp":1741096292000},"page":"3725-3739","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Design and implementation of a video resource recommendation system leveraging social tagging"],"prefix":"10.66113","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8195-2588","authenticated-orcid":false,"given":"Chen","family":"Limin","sequence":"first","affiliation":[{"name":"Jinhua University of Vocational Technology, Jinhua, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Chaoyun","sequence":"additional","affiliation":[{"name":"Wenzhou University, Wenzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Yingli","sequence":"additional","affiliation":[{"name":"Jinhua University of Vocational Technology, Jinhua, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","published-online":{"date-parts":[[2025,3,3]]},"reference":[{"key":"e_1_3_3_2_2","first-page":"1","article-title":"A course recommendation algorithm for a personalized online learning platform for students from the perspective of deep learning","volume":"1","author":"Zhengmeng X","year":"2023","unstructured":"Zhengmeng X, Lin H, Wu M. 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