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Graph-RAT: Combining data sources in music recommendation systems

Abstract
The complexity of music recommendation systems has increased rapidly in recent years, drawing upon different sources of information: content analysis, web-mining, social tagging, etc. Unfortunately, the tools to scientifically evaluate such integrated systems are not readily available; nor are the base algorithms available. This article describes Graph-RAT (Graph-based Relational Analysis Toolkit), an open source toolkit that provides a framework for developing and evaluating novel hybrid systems. While this toolkit is designed for music recommendation, it has applications outside its discipline as well. An experiment—indicative of the sort of procedure that can be configured using the toolkit—is provided to illustrate its usefulness.
Type
Working Paper
Type of thesis
Series
Computer Science Working Papers
Citation
McEnnis, D. & Bainbridge, D. (2008). Graph-RAT: Combining data sources in music recommendation systems. (Working paper 07/2008). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
Date
2008-07-28
Publisher
University of Waikato, Department of Computer Science
Degree
Supervisors
Rights