Explore users’ preference from Facebook fan pages

The massive amounts of data available on social media platforms become the key source of information related to customer sentiment and opinions for analysis by companies. Facebook is one of the most popular platforms which a firm can take advantage of to establish customer relationships through the use of fan pages. Facebook fan pages contain rich sources of information related to customer relationships. This study proposes a novel recommender system based on analyzing the behavior of fans. The proposed method is able to overcome the limitations of traditional recommender system. Three common measures will be used to evaluate the effectiveness of the proposed method. The experimental data have been obtained by crawling from IMDb fan pages..