Personalized course recommendation method and device based on big data and career planning

A big data and curriculum technology, applied in the field of data processing, can solve problems such as poor recommendation effect

Active Publication Date: 2020-10-30
HUNAN NORMAL UNIVERSITY
View PDF9 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a personalized course recommendation method and device based on big data and career planning to solve the defect of poor recommendation effect existing in existing course recommendation methods

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
  • Personalized course recommendation method and device based on big data and career planning
  • Personalized course recommendation method and device based on big data and career planning
  • Personalized course recommendation method and device based on big data and career planning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments. In the following description, specific details, such as specific configurations and components, are provided merely to assist in a comprehensive understanding of the embodiments of the present invention. Accordingly, those of ordinary skill in the art should recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0027] Unless otherwise defined, the technical terms or scientific terms used in the present invention shall have the usual meanings understood by those skilled in the art to which the present invention belongs. "First", "second" and similar w...

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 embodiment of the invention provides a personalized course recommendation method and device based on big data and career planning. The method comprises the steps: obtaining first input data of a first user; under the condition that the first input data is first target data, determining a first label set corresponding to the first user according to the first target data; from a first set of tags, determining a target course set from the P preset course sets, wherein each preset course set in the P preset course sets comprises at least one first course, each preset course set is associated with a second label set, the target course set is a preset course set in which the corresponding second label set is matched with the first label set, and P is an integer greater than 1; and recommending a first course included in the target course set to the first user. According to the embodiment of the invention, the course recommendation effect is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a personalized course recommendation method and device based on big data and career planning. Background technique [0002] With the development of information technology, people's demand for personalized learning is getting higher and higher, and the demand for course recommendation is also increasing. For example, in some schools, the number of courses offered may be relatively large, and it is often necessary to make reasonable recommendations for courses for each student user to reduce the energy required for student users in the course selection process; Class selection, on the basis of traditional administrative classes, let students choose some courses by themselves to form teaching classes. Since the students in the teaching classes come from different administrative classes, they walk from different administrative classes to the same classroom during clas...

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): G06F16/9535G06Q50/20
CPCG06F16/9535G06Q50/205
Inventor 蒋少华刘泽弘
Owner HUNAN NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap