Piloted Search and Recommendation with Social Tag Cloud-Based Navigation

Music Recommendation and Discovery 2010.

计算机科学;艺术

Cédric Mesnage ; Mark Carman

Others  :  http://ceur-ws.org/Vol-633/wom2010_paper3.pdf
PID  :  41184

来源: CEUR

【 摘 要 】

We investigate the generation of tag clouds using Bayesian models and test the hypothesis that social network informa- tion is better than overall popularity for ranking new and relevant information. We propose three tag cloud genera- tion models based on popularity, topics and social structure. We conducted two user evaluations to compare the models for search and recommendation of music with social net- work data gathered from "Last.fm". Our survey shows that search with tag clouds is not practical whereas recommenda- tion is promising. We report statistical results and compare the performance of the models in generating tag clouds that lead users to discover songs that they liked and were new to them. We nd statistically signicant evidence at 5% con- dence level that the topic and social models outperform the