Fanpages Recommendation By Using Lead Users in Facebook

Facebook, the biggest social networks in the world, more than 1.41 billion monthly active users (march 2015). There are many people post their story everyday. Facebook provide the way people can create their own pages call Facebook Fanpages. The fanpage itself is used to represent the company, website, users interested story, etc. Most people in facebook like fanpages to follow the story that they interested, but how can they know the exactly fanpages they want to follow more. The goal of this paper is to recommend the facebook fanpages. We purpose the methodology to recommend fanpages to user base on the user interest, the fanpage that liked by user. The fanpage itself cannot have any relationship with the other fanpages because it doesnâ?™t have friends. We apply the interaction that users interact with fanpages to be a relationship between fanpages. If one user interacts with 2 fanpages that means these 2 fanpages have the relationship between them. Then we cluster fanpages into the clusters and find the lead users of fanpages. The common fanpages liked by lead user are the fanpages we recommend to users. We avoid the biggest fanpages that users donâ?™t interested by finding the intersection between common fanpages liked by lead users from every cluster. Because the fanpages that everyone like are not the interest fanpages.