Geosocial Recommender Systems

In this chapter, we propose the GeoSoRS architecture that is designed to create personal LBO recommendations based on a person’s whereabouts and social network profiles. In this architecture, information is used from multiple sources to extract suitable recommendations: authoritative data, knowledge-bases, internal UGC/VGI, web content, social media content, and the already available LBO product database. In three steps, this information is collected from the corresponding source, enriched and combined, and, finally, used for LBO recommendation extraction. For each of these steps, the components used in GeoSoRS are introduced, and for each component, we discuss existing work, propose a solution, and provide pointers to where this component is discussed in more detail in the remainder of this thesis. This chapter is based on [28]