Uploaded June 2015 | Updated September 2026, 23 hours ago
This talk was given by undergraduate Ziyou Wu during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Ziyou‘s research was supervised by Dr. Prasun Dewan.
“A Testbed for Evaluating and Visualizing Facebook Friend-List Recommendation”
This project involves implementing a named-group prediction algorithm in Facebook and creating analytics tools for analyzing and visualizing recommendation results. It not only focuses on recommending friend-lists but also studies how friend-lists change over time and how to predict such evolutions. It has three components: a recommendation system, a friend-list editor, and a tool for visualizing recommendations. The recommendation system implemented in Facebook mines end-users’ social graphs to make predictions on friend-lists. The friend-list editor allows editing recommendations and measures the efforts a user takes to create friend-lists with and without recommendations. The visualization tool provides a set of visualization methods of social graphs and friend-lists. We have planned user studies to evaluate both the friend-list editor and the visualization tool.
Ziyou “Will” Wu is a senior from Beijing, China, majoring in Computer Science and Mathematical Decision Sciences. He has a variety of research experience, two years under the mentorship of Prof. Prasun Dewan on Facebook Friend-lists Recommendation and one year and a half under the mentorship of Prof. Denis Tsygankov on Cell Image Processing. His career interest lies in data analytics and machine learning in the financial market. After graduation, he will be joining in a bank as a technology analyst.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
This talk was given by undergraduate Ziyou Wu during the 9th Annual Computer Science Undergraduate Research Symposium in 2015. Ziyou‘s research was supervised by Dr. Prasun Dewan.
“A Testbed for Evaluating and Visualizing Facebook Friend-List Recommendation”
This project involves implementing a named-group prediction algorithm in Facebook and creating analytics tools for analyzing and visualizing recommendation results. It not only focuses on recommending friend-lists but also studies how friend-lists change over time and how to predict such evolutions. It has three components: a recommendation system, a friend-list editor, and a tool for visualizing recommendations. The recommendation system implemented in Facebook mines end-users’ social graphs to make predictions on friend-lists. The friend-list editor allows editing recommendations and measures the efforts a user takes to create friend-lists with and without recommendations. The visualization tool provides a set of visualization methods of social graphs and friend-lists. We have planned user studies to evaluate both the friend-list editor and the visualization tool.
Ziyou “Will” Wu is a senior from Beijing, China, majoring in Computer Science and Mathematical Decision Sciences. He has a variety of research experience, two years under the mentorship of Prof. Prasun Dewan on Facebook Friend-lists Recommendation and one year and a half under the mentorship of Prof. Denis Tsygankov on Cell Image Processing. His career interest lies in data analytics and machine learning in the financial market. After graduation, he will be joining in a bank as a technology analyst.
http://cs.unc.edu/academics/undergraduate/symposium/symposium-2015/
