In this project, we explored the relational data from Amazon movie reviews. Two main tasks that we carry on are recommending users and recommending movies. First, we explored the relationship between users aiming at recommending users who are trustworthy and professional. Second, we developed three movie recommendation systems based on different methods: bipartite network, biclustering using the chi-square for independence statistic. We compare the results given by the three approaches.

Team 8 Members:

Juan Pablo Campos Gutierrez ([email protected])
Yuhan Sun ([email protected])
Yusen Wang ([email protected])
Yibo Zhu ([email protected])
Jadie Zuo ([email protected])

Presentation: http://prezi.com/jsanool9k4pc/?utm_campaign=share&utm_medium=copy&rc=ex0share

Please see all the results in doc folder.

Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.

proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/

Please see each subfolder for a README file.