Design And Implementation Of Internship Job Recommendation System

The way we access information has become simpler and more convenient with the rapid development of Internet technology.At the same time,a large amount of data is generated.The generation of these data does not effectively improve the utilization of information.On the contrary,the large amount of data directly increases the difficulty for users to screen information.How to deal with this data and extract key information from these massive data has been the focus of people's research.The recommendation system is one of the intelligent systems that can effectively solve the above problems.Due to the user's ambiguous definition of the problem or the lack of clear expression of requirements or other factors,the recommendation system analyzes the user's dynamic and static data,actively and intelligently filters the information,and extracts and shows the user their potential needs.This feature makes the recommendation system play an important role in the fields of e-commerce,social networking,and personalized customization.The generation of massive job-seeking information directly increases the difficulty of both parties in screening effective information.How to solve this problem has always been a hot and difficult point of research.In this paper,after conducting in-depth research on job recommendation systems based on job candidate behavioral data analysis,in view of the problems in the actual implementation of the current status of the traditional job search and browsing recommendation,this article uses content-based retrieval,demographic knowledge,and collaboration.Filtering and other technologies,in accordance with various software development standards in software engineering,combined with existing recruitment systems,designed and implemented an internship position recommendation system based on user behavior data analysis to obtain recommendation results.The main research contents of this article are as follows:1.Personal user platform systemComplete the construction of a personal user platform system.These include the personal center management module,the application resume management module,the job application management module,and the job recommendation management module.2.Enterprise user platform systemComplete the construction of the enterprise user platform system.These include the enterprise center management module,recruitment position management module,recruitment resume management module,and application recommendation management module.3.Background integrated management systemComplete the construction of the background integrated management platform system.The main functions include membership,content,operations,tools,systems,etc.The membership module includes business management and personal management;the content module includes functions such as news,evaluation,job fairs,announcements,and question-and-answer systems;the operation module includes functions such as advertisements,special topics,reports;the tool module includes databases,data collection,mail servers,and mail Functions such as templates;system modules mainly include functions such as website settings,categories,administrators,template settings,and information settings.After evaluating the function and performance of the internship position recommendation system designed and implemented in this paper,from the test results,the system basically meets the expected expectations and has a certain practical application value.