Article citationsMore>>

Lin, J., Ma, X., Lin, S.C., Yang, J.H., Pradeep, R. and Nogueira, R. (2021) Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2021, 2356-2362.
https://doi.org/10.1145/3404835.3463238

has been cited by the following article:

• TITLE: Research on Dynamic Mathematical Resource Screening Methods Based on Machine Learning

  AUTHORS: Han Zhou

  KEYWORDS: Machine Learning, Dynamic Resource Filtering, Knowledge Structure Graph, Resource Interaction

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.11 No.11, November 24, 2023

  ABSTRACT: The current digital educational resources are of many kinds and large quantities, to solve the problems existing in the existing dynamic resource selection methods, a dynamic resource selection method based on machine learning is proposed. Firstly, according to the knowledge structure and concepts of mathematical resources, combined with the basic components of dynamic mathematical resources, the knowledge structure graph of mathematical resources is constructed; according to the characteristics of mathematical resources, the interaction between users and resources is simulated, and the graph of the main body of the resources is identified, and the candidate collection of mathematical knowledge is selected; finally, according to the degree of matching between mathematical literature and the candidate collection, machine learning is utilized, and the mathematical resources are screened.