A Micro blog Recommendation System Based on User Clustering
Lei Chen, Chao Qiang Jiang, Wei Wang · Advances in computer science research · 2015
Nowadays, micro blog has been widely used as a platform of information sharing.How to help users to find what they are interested in from massive amount of data becomes a very challenging issue.Some micro blog recommend systems are user-based and its effect is not significant.In this paper, we implement the recommendation system based on micro blog, users can subscribe the post which they are interested in, and system will recommend the related posts to users combined with user interest.This paper cluster users by their interest and experimental results show that the improved K-Means clustering algorithm can achieve a better accuracy and running time and our algorithm is more effective than traditional algorithm.