Integration of social networks and recommendation of social activities (II)

• Main Author: Mutiara, Nia.
• Other Authors: School of Computer Engineering
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
• Online Access: http://hdl.handle.net/10356/43909
• Institution: Nanyang Technological University

Nowadays, the Internet users own multiple accounts on different Social Networking Sites (SNSs). 90% of Internet users know at least one social network [Brown, 2010]. They are also active in connecting with people in SNS. Facebook statistics shows that average Facebook user creates 90 pieces of content each month, has 130 friends, and is connected to 80 community pages, groups and events. Knowing that each user has great possibility of having more than one accounts, the number of activities viewable by one person multiplies dramatically. As a result, the Internet users experience information overload. For the above reasons, there is need of a tool to integrate and recommend contents relevant to user interest. In this report, the author describes related works, especially emerging web or mobile applications that are close to both providing integration social networks and recommendation of social activities. The author also explains architectures and technical details on a prototype implementation of such web application, namely SocConnect Web. Finally, the author concludes with strengths of the implementa- tion and possible future improvements.