An analysis of collaborative filtering datasets

Abstract

The work described in this thesis pertains to the area of Collaborative Filtering and focuses on collaborative filtering datasets and specially-defined portions of the datasets called views. The high level goal of the work is to better understand how different characteristics of datasets affects the performance of collaborative filtering techniques. Datasets, and views, are compared across a number of different experiments: some relating to techniques and accuracy and others relating to ideas of performance prediction.