Research and Implement of Micro-Blog Social Network System Based on Users’ Association Analysis

Abstract

With the widespread application of web2.0 technology, micro-blog has become an important part of life for many people. A well-designed micro-blog system has the better users’ experience and allows users to get the information what they want with high efficiency in the shortest time. After analyzing each of the existing micro-blog systems, we found that the most information of micro-blog is sorted by time. With the users’ attention gradually increased, the frequency of message update, its contents appeared homogeneity and repetition, and thus leaded information overload. To solve this problem, this article puts forward a method based on users’ association analysis and implements a micro-blog system which presents its contents in priority based on users’ interest by way of users’ association analysis. It can sort the contents of the micro-blog and show the contents which the user interest in priority.