Haute or Not? - Revisiting Topical Popularities

We describe an approach to measure popularity of music tracks, albums and artists by automatically studying the comments on music listeners at social network sites such as MySpace. This measure of popularity is more accurate than the traditional measure of album sales figures, as demonstrated by our focus group study. We faced many challenges while trying to generate a popularity ranking from the user comments at social network sites, e.g., broken English sentences, comment spam, server bandwidth limit, etc. We discuss the steps we took to overcome them and prepare a end-to-end system for generating a new popularity measure.

By: Julia Grace, Daniel Gruhl, Kevin Haas, Meena Nagarajan, Christine Robson, Nachiketa Sahoo

Published in: RJ10421 in 2007


This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.


Questions about this service can be mailed to reports@us.ibm.com .