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Online education recommendation model based on user behavior data analysis and construction method

A technology of data analysis and construction methods, which is applied in the direction of educational appliances, electric-operated teaching aids, data processing applications, etc.

Active Publication Date: 2019-08-09
CHONGQING UNIV OF EDUCATION
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] To sum up, the problem existing in the existing technology is: as the number of online education users continues to increase, how to accurately recommend learning resources to users to meet the individual needs of users has become a key issue faced by online education users

Method used

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  • Online education recommendation model based on user behavior data analysis and construction method
  • Online education recommendation model based on user behavior data analysis and construction method
  • Online education recommendation model based on user behavior data analysis and construction method

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Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] As the number of online education users continues to increase, how to accurately recommend learning resources to users to meet their individual needs has become a key issue for online education users. The present invention uses a personalized recommendation system based on user preference behavior data analysis to analyze the online education recommendation model. The product attribute mining method is used to determine the criteria set of the recommendation system, and then the personalized recommendation algorithm is used to model user preferences to explore the user's preference for each criterion and generate mor...

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Abstract

The invention belongs to the technical field of network education personalized recommendation. The invention discloses an online education recommendation model based on user behavior data analysis anda construction method. The construction method of the online education recommendation model based on the user behavior data analysis comprises the following steps: adding nouns and nouns phrases withconfidence degree and calculation support degree in a candidate frequency attribute set, and defining a threshold value and words exceeding the threshold value; utilizing an adjacent rule pruning algorithm, an independent support degree pruning algorithm and a rule word filtering pruning algorithm to remove meaningless words and redundant words; screening out a set of criteria. According to the method, the expandability problem of the recommendation algorithm can be relieved, user preferences are identified, the similarity algorithm in a traditional collaborative filtering recommendation algorithm is optimized, the user similarity is calculated, and recommendation is generated. Experimental results show that the personalized recommendation algorithm based on user preferences can effectively improve the recommendation quality.

Description

technical field [0001] The invention belongs to the technical field of network education personalized recommendation, and in particular relates to an online education recommendation model and a construction method based on user behavior data analysis. Background technique [0002] At present, the closest existing technology: With the rapid development of Internet technology, the large-scale popularization of smart terminal devices such as smartphones and tablet computers, mobile network resources such as 4G are no longer scarce, and digitalization and mobile online learning have become the key to people's education. new way. Online education services represented by online learning platforms are reshaping traditional learning habits, enabling people to conduct decentralized online learning anytime, anywhere. Compared with the traditional education model, online education has the advantages of scattered learning time, unlimited learning locations, strong content targeting, hi...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q50/20G09B5/08
CPCG06F16/9535G06Q50/205G09B5/08
Inventor 韦鹏程李莉段昂
Owner CHONGQING UNIV OF EDUCATION
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