Academic Journal

Research on Recommendation Methods for Scientific and Technological Information and Their Application in College Education - Based on Knowledge Graphs

التفاصيل البيبلوغرافية
العنوان: Research on Recommendation Methods for Scientific and Technological Information and Their Application in College Education - Based on Knowledge Graphs
المؤلفون: Zhou Rui, Zhang Nan
المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
بيانات النشر: Sciendo, 2024.
سنة النشر: 2024
المجموعة: LCC:Mathematics
مصطلحات موضوعية: transit-cf, knowledge graph, scientific and technological information recommendation, education service system, 00a35, Mathematics, QA1-939
الوصف: In the current technology information recommendation system, the construction of the user behavior matrix frequently results in matrix sparsity and user cold start issues. To address this problem, TransAR-CF, a knowledge graph-based technology information recommendation method, is proposed, which mainly combines item similarity and semantic similarity to form a hybrid similarity matrix and then accomplishes the task of constructing a knowledge graph-based technology information recommendation model. The model is applied to a college education by constructing a college education service system, and the recommendation model and system experience are tested separately. The convergence speed of this paper’s model is higher than that of the CFKG model on both datasets A and B, and the difference between the two ranges from 0.02 to 0.12. According to the four dimensions of system design, learning support, evaluation design, and teaching effect, 70% to 90% of users have a positive attitude toward this paper’s system. In summary, the TransARCF method solves the problem of scientific and technological information that is difficult to adapt accurately but has high acceptance and good utility in college education.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2444-8656
2024-2832
Relation: https://doaj.org/toc/2444-8656
DOI: 10.2478/amns-2024-2832
URL الوصول: https://doaj.org/article/23b6cf4dfc8e45a59d0e11aadba50b64
رقم الانضمام: edsdoj.23b6cf4dfc8e45a59d0e11aadba50b64
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24448656
20242832
DOI:10.2478/amns-2024-2832