Music Recommendation Mapping and Interface Based on Structural Network Entropy

Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, , or omit many relevant metrics pertaining to the measured strength of the recommendations or the relationships the recommended items share with each other. This information is often useful for coming to a better understanding of the nature of how the items are structured according to the recommendation data. This paper describes the ZMDS algorithm, a novel way of analyzing the fundamental network structure of recommendation results. Furthermore, it also describes a dynamic plot interaction method as a recommendation browsing utility. A novel “Recommendation Map” web application implements both the ZMDS algorithm and the plot interface and are offered as an example of both components working together.

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Justin Donaldson
• Keywords: Database, ICDE 2007, Recommendation Browsing Utility, Recommendation Systems, ZMDS Algorithm