一种面向社交网络的资源服务推送方法分析与研究

传统的基于协同过滤推荐、内容推荐等技术在资源服务推荐中虽然得到了广泛地应用,但这些方法针对矩阵稀疏、冷启动等问题,在一定程度上还是未能有效地解决,以致推荐效果不是很理想。根据用户社交网络中关系,把用户之间的相似关系和信任因关系作为构建服务推荐目标用户列表的计算因子,从而对网络资源服务向目标用户做出有效而精确地推荐。通过实验分析,这种方法在面向社交网络平台上的资源服务推荐有着明显的优越性。

A Recommendation Method of Analysis and Research based on Social Network

Traditional service recommended methods,such as collaborative filtering recommendation based,content-based recommendation services and other resources have been recommended,although a wide range of applications,but these methods in data sparse cold start issues still to some extent,do not make effective to solve. Recommended that the effect is not very impressive. This paper will propose a recommended method for service-oriented social network. The method for the rapid rise and now social networking platform,based on the relationship between social network users,takes the similarity and the trust relationship as the calculating factor to build a service recommended target user list,thus recommends the network resource services effectively to the target users.By experimental analysis,this method on a social networking platform for services recommended resources has obvious advantages.