A Research of Recommendation Mechanism for Micro-blog Customer Relationship Based on Content Analysis
Qiu Yuan-qi · Tushuguan luntan · 2013
Micro-blog is the most popular social network platform nowadays;its customer relationship has been drawing growly attention.It is superficial to study micro-blog’s user connection by content rather than user interests.Starting from the content of user micro-blogs,this article analyzes word frequency to generate user labels and tag weights,which describe the user relationship of micro-blog.According to the similarities and differences of labels and the differentiation of tag weights of the same kind,the paper proposes a new customer relationship recommendation mechanism;and verifies its feasibility by betweenclass and within-class cases.It is explorative and innovative to apply the ideas and methods of Information Science to constructing the recommendation mechanism of network customer relationship.