Personalized network learning resource recommendation method

A technology of network learning and recommendation method, applied in the field of computer design and application, can solve the problems of lack of learning interest of network learners, lack of interest deletion, lack of methods of extracting interest, etc.

Inactive Publication Date: 2012-10-17
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0007] According to the above-mentioned novelty search findings, the existing interest perception methods have the following four problems: 1. Lack of identification methods for online learners' learning interests
2. Lack of methods to extract interest from the content learned by learners
3. Methods of deletion for lack of interest
4. Lack of Interest Prediction Methods

Method used

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  • Personalized network learning resource recommendation method

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Embodiment Construction

[0078] In order to understand the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings. The method of the present invention relates to network learner's interest change mode identification and the mechanism of personalized network learning resource recommendation as follows: figure 1 shown. Firstly, the definitions of some concepts used in the interest model of the present invention are given:

[0079] 1: Interest Descriptive Terms

[0080] The words or phrases that meet the following conditions and can be used to describe the interests of learners are interest description terms, referred to as terms:

[0081] (1) A word or phrase has a clear meaning in a specific field, that is, it has no ambiguity.

[0082] (2) Words or phrases can summarize part of the content of a certain field, that is, they are general.

[0083] The generality of a term can also be called the description granular...

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Abstract

The invention discloses a personalized network learning resource recommendation method which comprises the following steps: analyzing behavioral data of learners for visiting a network leaning system based on expanded theme pictures, acquiring leaning interest path changing patterns of the learners and groups of the learners on concepts and knowledge elements related to learning contents, and then realizing active personalized recommendation of proper learning resources to the learners according learning interest path changing patterns of the learner individuals and the groups of the learners individuals, sequence of learning objects of the expanded theme pictures and the like. The personalized network learning resource recommendation method can provide personalized learning service for network learners, thereby improving learning efficiency of the network learners.

Description

technical field [0001] The invention belongs to the technical field of computer design and application, and relates to a method for recommending personalized network learning resources. Background technique [0002] With the development of personalized service technology, personalized services on the Internet have sprung up in front of people's eyes, and the research on this aspect has also made remarkable achievements. After a novelty search at the State Intellectual Property Office, the applicant retrieved a patent related to the present invention that belongs to the field of interest perception, which is: a system and method for generating user interest preference vectors (application number 200610061206.0). This patent discloses a user interest preference vector generation system, including a user registration information storage center, a click interaction log storage center, and an analysis of user click interaction logs stored in the click interaction log storage cent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 吴茜媛付雁张云强王昊郑庆华
Owner XI AN JIAOTONG UNIV
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