Conference Networking Recommendations based on Past Online Activity

Abstract

Although many people attend conferences for the potential net-working opportunities, the majority of the networking that happens is random and unarranged. This is a problem realized by the com-pany Shpare AB, who provided the research topic and the task to build a back-end for a web application that handles gathering data from social networking websites with the purpose of generating networking recommendations for conference attendees. This paper documents the technological and conceptual components, with a highlight on the recommendation algorithm, of the back-end sys-tem. Findings demonstrate that such a system cannot only be built, but has potential to be enhanced and even mutated for solving problems in other fields.