Design and Implementation of an Intelligent Recommendation System of College Choosing for Candidates

• 1、Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876

Abstract：The college entrance examination is a very important stage in life, and the scientific application is the most important. At present, the application method relies on referring to a large amount of information, which is time-consuming and laborious. Therefore, this paper designs and implements an intelligent recommendation system of college choosing for candidates to help them fill in their applications. This system takes C/S architecture. The mobile client receives the user's request, and the server makes intelligent recommendation and provides data access interface. It is worth mentioning that recommendation is based on a large number of real admission scores, and the method of regression prediction in machine learing is used to guarantee the authenticity and rationality of recommendation. The system has complete functions, as it also provides admission score query, major recommendation and hot university information display functions, which is convenient for candidates to combine with their own situation and fill in the most appropriate application.

Keywords： Computer Software College recommendation HTTP Regression