Auralist: introducing serendipity into music recommendation
Proceedings of the fifth ACM international conference on Web search and data mining
Data gathering for a culture specific approach in MIR
Proceedings of the 21st international conference companion on World Wide Web
Mining microblogs to infer music artist similarity and cultural listening patterns
Proceedings of the 21st international conference companion on World Wide Web
LiveTweet: monitoring and predicting interesting microblog posts
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Social Media Retrieval
Hybrid retrieval approaches to geospatial music recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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We present results of text data mining experiments for music retrieval, analyzing microblogs gathered from November 2011 to September 2012 to infer music listening patterns all around the world. We assess relationships between particular music preferences and spatial properties, such as month, weekday, and country, and the temporal stability of listening activities. The findings of our study will help improve music retrieval and recommendation systems in that it will allow to incorporate geospatial and cultural information into models for music retrieval, which has not been looked into before.