| Summary: | 碩士 === 國立屏東科技大學 === 資訊管理系所 === 100 === In this study, combined with the Facebook API to obtain user data and the analysis of the users of social networks, through the analysis of the subject preferences of the members of the social network to predict the user's potential interest. FCA (Formal concept analysis) associated with matrix management theory-based to enter the data analysis, as a recommendation system technology methods, the aim is to want to construct a more in line with user requirements of the recommended system and enhance the information recommended the quality. In this study, confirmed by experiments using Facebook posed by the virtual community website, to obtain the information relationships between everyone, as the value of social network analysis in order to provide the basis of information in collaborative filtering recommendation for enhancing the recommended information qualityis of great help.
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