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A knowledge recommendation method, system and storage medium based on improved location socialization

A recommendation method and knowledge technology, applied in the field of recommendation systems, can solve problems such as the inability to capture the complex characteristics of users, and achieve the effect of improving efficiency and learning efficiency.

Active Publication Date: 2022-08-09
GUANGDONG COMM POLYTECHNIC
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used search engines have the advantages of a wide range of applications and simple information retrieval functions that satisfy most users. However, when users have specific needs or users have individualized and diverse characteristics, search engines often cannot capture the complexity of users. features for personalized recommendations

Method used

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  • A knowledge recommendation method, system and storage medium based on improved location socialization
  • A knowledge recommendation method, system and storage medium based on improved location socialization
  • A knowledge recommendation method, system and storage medium based on improved location socialization

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Experimental program
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Embodiment Construction

[0043] like figure 1 As shown, the current common recommendation algorithms are mainly content-based recommendation, collaborative filtering recommendation, hybrid recommendation, etc. The basic algorithm framework is as follows figure 1 In the process of generating recommended items, the recommended items are mainly selected by calculating the similarity between items; for knowledge-based recommended objects, the user searches on the knowledge system or uses the knowledge system The main purpose is to learn the content they don’t understand and the knowledge they don’t understand. For the content they already understand, they don’t actually need the system to recommend similar objects to them; while the traditional recommendation system, its recommendation purpose is generally the user’s current recommendation system. This recommendation system model and recommendation purpose are not suitable for knowledge-based systems.

[0044]Therefore, in view of the deficiencies in the...

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Abstract

The invention discloses a knowledge recommendation method, system and storage medium based on improved location socialization. By using the user's existing access data and other data information in the knowledge network, the knowledge points that the user needs to visit in the next step are predicted, and the knowledge points that the user needs to visit next are predicted. The prediction results are recommended to users as their learning recommendation list, which can solve the current situation that common commodity-oriented recommendation models and algorithms are not suitable for recommendation on knowledge learning systems, improve the efficiency of users acquiring knowledge on knowledge systems, and improve users' experience. Learning efficiency; at the same time, it also makes up for the shortcomings of the current common recommendation system models and algorithms that mainly recommend commercial items; and builds a set of paths for users to access knowledge points, and realizes knowledge recommendation in knowledge social networks through an improved location social recommendation algorithm. Improve the efficiency of users' learning and understanding of certain knowledge. The invention can be applied to the field of knowledge recommendation system.

Description

technical field [0001] The present invention relates to the field of recommendation systems, in particular to a knowledge recommendation method, system and storage medium based on improved social interaction. Background technique [0002] In the era of information explosion, the problem people face is no longer the inability to obtain data from the Internet, but the massive amount of information on the Internet. How to find truly valuable information in massive data has also become a hot research direction in the information age. At present, the information retrieval methods commonly used by users are generally search engines, such as Google, Baidu, etc. Commonly used search engines have the advantages of a wide range of applications and simple information retrieval functions that satisfy most users. However, when users have specific needs or users have personalized and diverse differences, search engines often fail to capture the complexities of users. features to make pe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/9535G06F16/9536
CPCG06F16/9535G06F16/9536G06F16/2462
Inventor 李月
Owner GUANGDONG COMM POLYTECHNIC
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