社会化推荐中基于对分网络的用户偏好预测

User's Preference Prediction Based on Bipartite Network in Socialization Recommendation

本文首先阐述了对分网络算法在社会化推荐中的应用,然后分析了社会化推荐的运作机理,构建了社会化推荐模型,最后从相似用户集构建、基于对分网络的用户偏好预测和算法评价3个方面,进行了基于对分网络的用户偏好预测实现研究。评价表明对分网络方法对用户偏好预测的效果较好。

This paper first elaborates on the application of the bipartite network algorithm in socialization recommendation,and then analyzes the operational mechanism of socialization recommendation and constructs its model.Finally,the paper studies how to realize the user preference prediction based on the bipartite network in terms of the construction of the similar user set,the user preference prediction based on the bipartite network and the evaluation of algorithm.The evaluation indicates that the bipartite network method has a satisfactory effect on the user preference prediction.