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Neutrosophy logic collaborative filtering-based migrant worker personalized employment recommendation method and system

A collaborative filtering and recommendation method technology, applied in office automation, other database retrieval, forecasting, etc., can solve the problem of employment recommendation method and system not being able to recommend the employment needs of migrant workers

Active Publication Date: 2021-05-18
广东牛牛智能科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above problems, the present invention proposes a personalized employment recommendation method and system for migrant workers based on neutrosophic collaborative filtering to solve the problem that the existing employment recommendation methods and systems cannot provide accurate and reasonable recommendations for the employment needs of migrant workers.

Method used

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  • Neutrosophy logic collaborative filtering-based migrant worker personalized employment recommendation method and system
  • Neutrosophy logic collaborative filtering-based migrant worker personalized employment recommendation method and system
  • Neutrosophy logic collaborative filtering-based migrant worker personalized employment recommendation method and system

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specific Embodiment 1

[0047] to combine figure 1 , the present invention proposes a personalized employment recommendation method for migrant workers based on neutrosophic collaborative filtering. The specific steps of the method include:

[0048] The first step is to upload photos of the labor tools used by migrant worker users, conduct a preliminary screening of job classification, and screen out the industry or enterprise target group for the user's labor skills;

[0049] Divide the types of work of migrant workers into 6 categories. Through the image classification method based on deep learning, the images of assembly line, construction site, booth, express package and express vehicle, kitchen utensils and other images are respectively corresponding to the manufacturing industry and construction industry. (including carpentry, hydraulic engineering, electrician, bricklayer, etc.), wholesale and retail trade, transportation and postal storage industry, accommodation and catering industry, and re...

specific Embodiment 2

[0091] combine figure 2 , the present invention proposes a personalized employment recommendation system for migrant workers based on neutrosophic collaborative filtering, which includes:

[0092] The information acquisition module 10 is used to acquire pictures and user information uploaded by users; wherein, the pictures include the labor tools or working environment used by migrant workers; the user information includes the user's hometown location information and the user's historical rating information for each job position;

[0093] The primary screening module 20 is used to judge the type of work according to the picture, and initially screen out the enterprise object group corresponding to the type of work; wherein, the type of work includes manufacturing, construction, wholesale and retail, transportation and postal warehousing, There are six types of accommodation and catering industry, resident service repair and other service industries; the type of work is judged...

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Abstract

The invention discloses a neutrosophy logic collaborative filtering-based migrant worker personalized employment recommendation method and system, belongs to the technical field of artificial intelligence, and is used for solving the problem that an existing employment recommendation method cannot perform accurate and reasonable recommendation according to employment demands of migrant worker users. According to the method, historical information of groups with similar backgrounds is screened out by uploading pictures of labor tools or working environments and information of fellow villagers, neutrosophy logic is introduced into a collaborative filtering algorithm, and, by utilizing a scoring means of conversion of three membership degrees, namely a true value membership degree, an uncertain membership degree and an untrue membership degree, the employment preference of migrant worker users is reflected more truly, recommendation is more accurate, and the problem that some incomplete, complete or inconsistent evaluations cannot be measured well due to the fact that rigid evaluation is adopted in the scoring process in the prior art and subjective uncertainty of people is not considered is solved. The method enables migrant workers to quickly obtain employment recommendation, so that the work finding efficiency of the migrant workers is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for personalized employment recommendation for migrant workers based on neutrosophic collaborative filtering. [0002] technical background [0003] my country is a country with a large labor force in the world. The employment recommendation system is of great significance to solve the employment of my country's labor force. However, the current employment recommendation system is mainly aimed at college students or groups with higher education, and there are few employment systems for migrant workers. The conventional employment recommendation system needs to fill in a lot of information when users register and use it. It is especially unfriendly to migrant workers over the age of 50, who account for 25% of our country, and migrant workers with junior high school education or below, which account for 72%. Unable to operate well and omit importa...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/958G06K9/62G06Q10/04G06Q10/10
CPCG06F16/9536G06F16/958G06Q10/105G06Q10/04G06F18/22
Inventor 李鹏韩伟
Owner 广东牛牛智能科技有限公司
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