Unlock instant, AI-driven research and patent intelligence for your innovation.

Learning and reviewing problem bank recommendation method based on collaborative filtering

A collaborative filtering and recommendation method technology, applied in the field of modern learning platforms, can solve the problems of users wanting to change questions and low efficiency in the recommendation of answer types, and achieve the effect of improving learning and use efficiency

Inactive Publication Date: 2018-02-13
刘伟
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing question bank can only be searched by the user for the required questions, and it is not possible to recommend the desired topic according to the user's answer type, which is inefficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Learning and reviewing problem bank recommendation method based on collaborative filtering
  • Learning and reviewing problem bank recommendation method based on collaborative filtering
  • Learning and reviewing problem bank recommendation method based on collaborative filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.

[0037] A method for recommending learning review question banks based on collaborative filtering, comprising the following steps:

[0038] 1. Establish a user-mathematics question answering matrix, according to the popularity h of the mathematical question p p The calculation formula calculates the popularity of math problems for each math problem.

[0039] 2. For the current user to be recommended, if the number of math questions answered by the user is greater than 20, the similarity between the user and the current user is calculated according to the optimized Pearson correlation coefficient calculation formula, and the Top-N method is used to obtain the number of N users A preliminary set of similar neighbors formed. If the number of math questions answered by the current user is less than 20, in order to improve the recommendation quality, d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a learning and reviewing problem bank recommendation method based on collaborative filtering. The learning and reviewing problem bank recommendation method based on collaborative filtering comprises the following steps: (1) establishing a user-mathematical problem answering number matrix, and calculating mathematical problem enthusiasm on every mathematical problem according to a calculating mode for enthusiasm hp of the mathematical problem p; (2) calculating the similarity between a user and a current user according to an optimized Pearson correlation coefficient calculating mode for the current user to-be-recommended; (3) selecting M similar neighbors from N similar neighbors in the step (2) by content filtering as trusted neighbors; and (4) predicting the answering number of a user a to the mathematical problem p according to the answering number of the M trusted neighbors to the mathematical problem p, and selecting mathematical problems with high predictedanswering number to form the final recommended mathematical problem set of the current user according to a Top-N principle. Related problems can be recommended to answering users on the basis of collaborative filtering, the shortcoming that problems in an existing problem bank only can be searched by users is overcome, and the learning and using efficiency of the user are improved.

Description

technical field [0001] The invention relates to the field of modern learning platforms, in particular to a method for recommending learning review question banks based on collaborative filtering. Background technique [0002] The question bank is the test question bank, which collects different test questions in different categories according to different subject categories and their internal relations, and provides a systematic resource of alternative test questions for specific subject knowledge and skill tests. In a general sense, it is much larger than a normal test set. [0003] According to the definition of "Technical Specifications for the Construction of Educational Resources of the Ministry of Education" (CELTS-41.1), the item bank is a collection of subjects of a certain subject implemented in a computer system according to a certain educational measurement theory. Measurement theory, an educational measurement tool based on precise mathematical models. The test...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/20
Inventor 刘伟
Owner 刘伟