Project resource recommendation method

A technology for recommending methods and resources, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of not knowing the input, students unfamiliar, etc., to facilitate self-study and improve utilization.

Pending Publication Date: 2019-07-16
辽宁轨道交通职业学院
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

The project and the relevant knowledge involved are familiar to teachers, but they are very unfamiliar to students, especially some self-study students. When they encounter problems and search for resources, they often don’t know what “keywords” to enter embarrassing situation

Method used

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Examples

Experimental program
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Embodiment Construction

[0019] As shown in Figure 1, for higher vocational project resources, the HMM-based resource depth recommendation process can be implemented in the following steps:

[0020] (1) Collect the knowledge context between different resources involved in the project to form the initial prior knowledge

[0021] (2) Build HMM model based on prior knowledge

[0022] (3) According to the current resources accessed by students or teachers, use the HMM model to provide recommended resources to users for easy access

[0023] (4) According to the historical information of teachers and students browsing resources, use the feedback model to correct the parameters of the HMM model

[0024] The step (1) of the present invention mainly includes obtaining the context structure among the resources contained in the project, and this step is completed in the process of uploading resources by the teacher. When a teacher uploads a resource, the system will retrieve project information related to the ...

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PUM

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Abstract

The invention relates to a model-based project resource recommendation method based on HMM model, which can introduce an HMM model into a deep resource recommendation algorithm and build a deep network resource recommendation system for serving students aiming at the characteristics of higher vocational students and prominent problems existing in the use of network resources in a project teachingprocess. The method comprises the following steps: firstly, designing HMM model core modules, namely a transfer matrix and a confusion matrix, and researching and mining the expression capability of an HMM model in a resource deep recommendation strategy; secondly, adding a feedback process based on active learning to dynamically correct the transfer matrix and the confusion matrix of the HMM model. According to the invention, the utilization rate of network resources by students in vocational colleges can be improved, and the method is of great significance in cultivating self-learning ability and improving professional skill level by network application ability.

Description

technical field [0001] The invention belongs to the field of teaching shared resource recommendation, and relates to a project-based resource recommendation method based on an HMM model, in particular to a project-based resource recommendation method suitable for higher vocational students, which applies the HMM model to the recommendation strategy of a resource sharing management platform . Background technique [0002] Compared with students with a bachelor’s degree or above, higher vocational students have relatively lower ability to retrieve network resources and use resources. In the Internet era of resource explosion, it is difficult for many students to find the resources they need. The main reason is that the main way for students to search for network resources at present is to use the search engine area provided by relevant websites to query resources through "keywords". Whether the "keyword" is accurate is very important to the query of resources. It is often...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q50/20
CPCG06Q50/205G06F16/9535
Inventor 常乐
Owner 辽宁轨道交通职业学院
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