Design And Implementation Of Employment Information Recommendation System Based On .NET

Employment is a widespread concern in today’s society. With the increasing of fresh graduates and unemployment rate, a growing number of people look for the recruitment information relevant to themselves on the Internet, but the problems of disordered content and disorganized data making their seeking efficiency low. Aiming at this problem, an employment information recommendation system based on Windows and Android is presented in this paper, in which we further analysis employment information collection and recommended procedure, methods and techniques.First of all, this paper analyzes the main ways that current job seekers to check the recruitment information and the recruitment information network, and learns new information recommend management concept, put forward feasible employment information recommendation system. Then the technical and theoretical knowledge are introduced, including functional requirements analysis, system structure and database design. Moreover, we make a deep analysis of the functional structure of the system, which is divided into three parts: information collection module, Web module and mobile module. After analyzing the structure of the page and the information extraction technology and combined with critical factors of the recruitment information, compiling data acquisition function of different web pages, to achieve information collection module. The design of WEB and mobile model is carried out according to the principle of modularization and functional centralization. Besides,information recommendation based on places and categories is given to realize employment information initiative recommended. Finally, paper shows the recommended interface of employment information system, and introduces each module’s functions. By providing areas of employment intentions and categories,system will promptly recommend appropriate jobs for users, thus to realize purpose that systems can provide users with the latest, real-time, suitable jobs, so improving the efficiency of job seekers looking for recruitment information.Currently, the employment information recommendation system runs stable, and better meets the needs of the user. Based on the provides areas and categories of employment intentions of users, system will promptly recommend appropriate jobs for users to save their time and improve the efficiency.