Subject question knowledge point recommendation method and system based on clustering algorithm

• Main Author: ZHANG YUEXIAN
• Format: Patent
• Language: Chinese; English
• Published: 23.04.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention provides a subject question knowledge point recommendation method based on a clustering algorithm. The method comprises the steps that S1, acquiring subject history teaching information; S2, performing clustering processing on the subject history teaching information by adopting a clustering algorithm I so as to extract corresponding subject question knowledge points to form a subject knowledge point set I; S3, acquiring subject real-time teaching information, and performing clustering processing on the subject history teaching information by adopting a clustering algorithm II to extract corresponding subject question knowledge points to form a subject knowledge point set II; and S4, fusing the subject knowledge point set I and the subject knowledge point set II into a subject knowledge point set. According to the scheme, important knowledge points in previous years and current important knowledge points are considered, comprehensiveness of the knowledge points can be considered after the import