Personalized social recommendations: accurate or private
Proceedings of the VLDB Endowment
Feed following: the big data challenge in social applications
Databases and Social Networks
Hi-index | 0.00 |
Internet users spend billions of minutes per month on social networking sites like Facebook, LinkedIn and Twitter. Not only do they create tons of data everyday in the form of posts, tweets and photos, the connections between users have given rise to new applications for social discovery and engagement. In this talk I will highlight the novel data management and privacy challenges in three such applications: (i) Feed Following, or the problem of delivering highly personalized feeds based on content generated by one's friends, (ii) Social Coordination, or the problem of jointly planning and coordinating on a task, and (iii) Social Recommendations, or recommending objects and people based on one's social connections.