Identifying User and Group Information from Collaborative Filtering Datasets

This paper considers the information that can be captured about users and groups from a collaborative filtering data set with a view to creating user models and group models. The approach outlined defines a number of user and group features which are represented using a graph model where links exist between users and items, between users and users, and between items and items. The main focus of this paper is to extract implicit information about users and groups that exists in a collaborative filtering data set.