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A course recommendation method and device

A recommendation method and technology of a recommendation device, applied in the network field, can solve the problem of not being able to recommend courses for students

Active Publication Date: 2019-05-10
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few studies on corporate online learning platforms, and it is impossible to recommend suitable courses to students

Method used

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  • A course recommendation method and device
  • A course recommendation method and device
  • A course recommendation method and device

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used for example, illustration or description. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present invention shall not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "such as" is ...

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Abstract

The embodiment of the invention discloses a course recommendation method and device, relates to the technical field of networks, and can generate recommended courses suitable for students through basic information data, so that the appropriate courses are recommended to the students in advance when the students access an enterprise online learning platform, and the learning efficiency of the students is improved. The method comprises the steps of obtaining basic information data; generating at least one first course recommendation list according to the basic information data, wherein each first course recommendation list is generated by one or more pieces of data in the basic information data; according to the exclusion strategy, excluding courses in the at least one first course recommendation list to generate at least one second course recommendation list, the first course recommendation list being in one-to-one correspondence with the second course recommendation list; and performing duplicate checking and threshold exceeding processing on the at least one second course recommendation list to generate a final course recommendation list. The embodiment of the invention is appliedto a network learning system.

Description

technical field [0001] The embodiments of the present invention relate to the field of network technologies, and in particular to a course recommendation method and device. Background technique [0002] The enterprise online learning platform is based on Internet technology, adopts an open online learning platform model, takes learning resources as the core, meets the needs of various training scenarios of enterprises, builds an enterprise internal training ecosystem, and helps enterprises achieve talent leadership. With the popularization and in-depth application of the Internet, the enterprise online learning platform has become an important way for internal education and knowledge sharing. User behavior data is one of the main bases to guide the production and operation of the platform. How to conduct effective data analysis is a major problem faced by the platform operation. The modeling process of online student behavior characteristics is to analyze student behavior, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q50/20
Inventor 李素粉赵健东刘志华杨杰
Owner CHINA UNITED NETWORK COMM GRP CO LTD