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Personalized online course and occupation two-way recommendation method and system

A recommendation method and course technology, applied in the field of machine learning, can solve the problems that learners have no value, and those who cannot learn clearly have a clear job search direction, etc.

Active Publication Date: 2019-12-20
THE EDUCATION UNIV OF HONG KONG
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AI Technical Summary

Problems solved by technology

The content-based method is to recommend similar products based on the user's existing choices, but repeated learning of a single course has no practical value for learners
Based on the method of collaborative filtering, by calculating the similarity between learners and users, the products purchased by similar users are recommended to other users. Let learners have a clear job-seeking direction. On the contrary, learners need to go through a lot of course learning to find the career they are interested in from the complicated job recommendations

Method used

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  • Personalized online course and occupation two-way recommendation method and system
  • Personalized online course and occupation two-way recommendation method and system
  • Personalized online course and occupation two-way recommendation method and system

Examples

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Embodiment 2

[0147] This embodiment provides a personalized online learning and career two-way recommendation established using the method described in Embodiment 1, including:

[0148] A feature dictionary vector building module: used to set up a feature dictionary vector according to step S1 of the method described in Embodiment 1;

[0149] Feature word dictionary vector: the verb label and its weight and the knowledge point word segmentation label together form the feature word dictionary vector;

[0150] Occupational label vector library: used to store occupational label vectors. The occupational label vector includes knowledge point word segmentation labels and their weights. The weight of the knowledge point word segmentation labels is equal to the verb label of the knowledge point word segmentation label that forms the verb-object phrase The weight in the feature word dictionary vector;

[0151] Course label vector library: the course label vector is mainly composed of two parts: t...

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Abstract

The invention discloses a personalized online learning and occupation two-way recommendation method and system, and the method and system can recommend a course which needs to be learned most according to an interested job hunting target of a learner, enable a user to be targeted in a learning process, and guarantee the learning effect of the user. When the user does not specify the job hunting target, the most suitable occupation can be recommended according to the preset knowledge and the online learning condition of the user, the occupational planning consciousness of the user is cultivated, and the most suitable job seeker is selected according to the learning condition of the user for an enterprise, so that the method has very important significance for improving the online learning quality of the user and developing job seekers.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a method and system for two-way recommendation of personalized online courses and occupations. Background technique [0002] With the popularization of online learning and the increase of online course resources, more and more in-service workers and college students improve their job-seeking skills through online learning. However, in the face of massive online courses, how to quickly find ideal jobs is the most urgent need How to formulate a reasonable career learning direction based on their existing knowledge has become the biggest problem for online learners. [0003] The recommendation system is one of the effective methods to solve the "information overload" problem caused by massive information. It has been widely used in shopping websites and music recommendation systems in recent years. Its core is to quickly grasp the needs and characteristics of users. The user's deman...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/951G06F16/9535G06F17/27G06Q50/20
CPCG06F16/3347G06F16/951G06F16/9535G06Q50/205
Inventor 王晶晶谢浩然陈伟康
Owner THE EDUCATION UNIV OF HONG KONG
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