Personalized course recommendation method and device based on big data and career planning
A big data and course technology, applied in the field of data processing, can solve problems such as poor recommendation effect, and achieve the effect of improving the effect of course recommendation
Active Publication Date: 2022-07-08
HUNAN NORMAL UNIVERSITY
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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
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[0026] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, the following will be described in detail with reference to the accompanying 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 embodiments of the present invention. Accordingly, it should be apparent to those skilled in the art 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, technical or scientific terms used in the present invention should have the ordinary meaning as understood by those with ordinary skill in the art to which the present invention belongs. The terms...
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Embodiments of the present invention provide a method and device for personalized course recommendation based on big data and career planning, wherein the personalized course recommendation method based on big data and career planning includes: acquiring first input data of a first user; In the case where the first input data is the first target data, a first label set corresponding to the first user is determined according to the first target data; according to the first label set, a target course set is determined from the P preset course sets , wherein each preset course set in the P preset course sets respectively includes at least one first course, each preset course set is associated with a second label set respectively, and the target course set is the corresponding second label set and the first course set. A preset course set that matches the label set, P is an integer greater than 1; the first course included in the target course set is recommended to the first user. The embodiment of the present invention effectively improves the course recommendation effect.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for recommending personalized courses 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 recommend courses reasonably for each student user, so as to reduce the energy that student users need to spend in the course selection process; another example is the implementation of the new college entrance examination. Class selection, on the basis of the traditional administrative class, some courses are allowed to be selected by the students themselves to form a teaching class. Since the students in the teaching class are from different administrative...
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IPC IPC(8): G06F16/9535G06Q50/20
CPCG06F16/9535G06Q50/205
Inventor 蒋少华刘泽弘
Owner HUNAN NORMAL UNIVERSITY