Recommendations in social networks: an extra feature or an essential need

Abstract

This paper analyzes user’s need of content recommendation at the social network Facebook. It presents results from a survey on real social net-work’s users. The results shows that Facebook users need better interface for news feed browsing. It have to provide better information filtering options, rec-ommendation system and options for manual refinement of the results from it. The collected information from the survey is used to determine features which an application has to provide as social network news feed browser and to re-ceive user’s trust. Further some implementation details and faced difficulties are presented.