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Learning goal-oriented knowledge-chain recommendation method

A technology of learning objectives and recommended methods, applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2018-03-06
NANJING NORMAL UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the existing personalized knowledge recommendation service considers the user's interest needs and avoids the trouble of users collecting knowledge from the ocean of data, in the personalized recommendation of knowledge learning, user interest modeling methods, knowledge recommendation mechanisms, etc. There are still some areas for improvement

Method used

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  • Learning goal-oriented knowledge-chain recommendation method
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  • Learning goal-oriented knowledge-chain recommendation method

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Embodiment Construction

[0072] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0073] A learning goal-oriented knowledge chain recommendation method, such as figure 1 shown, including the following steps.

[0074] Step 1: By collecting historical information such as user behavior, analyze user interest preferences, and construct a user interest model, which mainly includes a user interest model representation module, a user interest data collection module, and a user interest update module.

[0075] Step 2: According to the determined learning objectives, the value of each concept of interest in the user interest model is multiplied by the difference value of the corresponding learning objective, sorted according to the product value, and the Top-N concepts are selected to form a preliminary set of recommended interest concepts.

[0076] Step 3: Recommend to the user the knowledge chain with the knowledge points in t...

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Abstract

The invention discloses a learning goal-oriented knowledge-chain recommendation method. Interest preference of a user is analyzed through collecting historical information of user behaviors, and an interest model of the user is constructed; each interest concept value in the user interest model and a corresponding learning goal difference value thereof are multiplied together according to determined learning goals, and sorting is carried out according to the sizes of product values to form a preliminary recommendation interest concept set; and a knowledge chain which takes knowledge points inthe preliminary recommendation interest concept set as chain ends and all higher-level knowledge of the knowledge points as nodes is recommended to the user. Interest information of the user is acquired through modeling user interest, the determined learning goals are merged, reasonable guiding of organization of recommended contents is carried out, thus the knowledge chain generated by the knowledge points of the interest is recommended to the user to help the user to better understand related contents of the knowledge points, and a learning effect of the user is improved.

Description

technical field [0001] The invention belongs to the field of knowledge recommendation, and in particular relates to a learning object-oriented knowledge chain recommendation method. Background technique [0002] With the rapid development of high-tech network technologies such as the mobile Internet and social networks, information sharing and exchanges around the world have become more frequent, and the speed of information dissemination and the scale of data have reached unprecedented levels. Massive information resources will cause information overload to users, making users have to select the information content they are interested in from a large amount of redundant or irrelevant information. [0003] In order to solve the inconvenience caused by the flood of information to users, knowledge recommendation service came into being. Knowledge recommendation service is often used in libraries, agriculture and other fields. It mainly collects historical information such as ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/20
CPCG06F16/9535G06Q50/20
Inventor 陈波于泠于浩佳刘蓉朱汉
Owner NANJING NORMAL UNIVERSITY
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