Personalized employment recommendation method and system for migrant workers based on neutrosophic logic collaborative filtering
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A collaborative filtering and recommendation method technology, applied in office automation, instruments, network data retrieval, etc.
Active Publication Date: 2022-06-14
广东牛牛智能科技有限公司
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[0003] 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 existing employment recommendation methods and The problem that the system cannot make accurate and reasonable recommendations for the employment needs of migrant workers
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specific Embodiment 1
[0046] 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:
[0047] 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;
[0048] 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
Specific embodiment two
[0090] combine figure 2 , the present invention proposes a personalized employment recommendation system for migrant workers based on neutrosophic collaborative filtering, which includes:
[0091] 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;
[0092] 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; ...
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Abstract
A personalized employment recommendation method and system for migrant workers based on neutrosophic collaborative filtering belongs to the field of artificial intelligence technology, and is used to solve the problem that existing employment recommendation methods cannot provide accurate and reasonable recommendations for the employment needs of migrant workers. The present invention screens out the historical information of groups with similar backgrounds by uploading photos of labor tools or working environments and fellow countrymen's information, and introduces neutrosophic logic into the collaborative filtering algorithm. The scoring method transformed from a membership degree can more truly reflect the employment preferences of migrant workers, making the recommendation more accurate, and avoiding the rigid evaluation used in the scoring process in the prior art. Due to the lack of consideration of human subjective uncertainty, some incomplete, Complete or inconsistent reviews are not a well-measured issue. The invention can be applied to migrant workers to quickly obtain employment recommendations, thereby improving the efficiency of migrant workers in finding jobs.
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. technical background [0002] 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 important infor...
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