Michael Moricz
ABSTRACT
In recent years Social Networking has enjoyed a significant increase in popularity. The main reason behind this surge in popularity is the social experience associated with connecting content to people and also connecting people with other people. Knowing, seeing, hearing what our friends and like-minded people feel or listen to or upload is an unparalleled experience. Similar to real life, finding good friends is not easy without the help of good recommendations. In this Industry Talk paper we present the MySpace friend recommendation algorithm named People You May Know. We will also comment on both the quality and the effectiveness of the algorithms.
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Digital Library
- K. Bharat, A. Broder, M. Henzinger, P. Kumar and S. Venkatasubramanian. The Connectivity Server: Fast Access to Linkage Information on the Web. Computer Networks and ISDN Systems, pages 469--477, 1998. Google ScholarDigital Library
- S. Lo and C. Lin. WMR - A Graph-based Algorithm for Friend Recommendation. Web Intelligence, 2006. Google ScholarDigital Library
- A. Mislove, M. Marcon, K. Gummadi, P. Druschel and B. Bhattacharjee. Measurement and Analysis of Online Social Networks. IMC, 2007. Google ScholarDigital Library
- M. Brzozowski, T. Hogg and G. Szabo. Friends and Foes: Ideological Social Networking. CHI 2008. Google ScholarDigital Library
Index Terms
- PYMK: friend recommendation at myspace
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