Recommendations on Social Network Sites: From Link Mining Perspective

With the social network site (SNS) are increasingly attracting millions of people´s attention, advertising on it is recognized a prospective commercial area. Traditional recommendation methods are limited functional in SNS because they only consider the content in Web when try to find target customers. This paper proposes the use of the network structure to derive which actors in the SNS are more influential, then using word of mouth thread to fulfill the recommendation.