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Information Processing and Management: an International Journal
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Web-collaborative filtering: recommending music by crawling the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Self-Organizing Maps
Content-based organization and visualization of music archives
Proceedings of the tenth ACM international conference on Multimedia
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An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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ICEC'05 Proceedings of the 4th international conference on Entertainment Computing
Scalable music recommendation by search
Proceedings of the 15th international conference on Multimedia
One-touch access to music on mobile devices
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia
In the Mood: Tagging Music with Affects
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A fuzzy framework for defining dynamic playlist generation heuristics
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Music recommendation based on acoustic features and user access patterns
IEEE Transactions on Audio, Speech, and Language Processing
Creating collections with automatic suggestions and example-based refinement
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Using rich social media information for music recommendation via hypergraph model
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
A model for serendipitous music retrieval
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We present a technique for combining audio signal-based music similarity with web-based musical artist similarity to accelerate the task of automatic playlist generation. We demonstrate the applicability of our proposed method by extending a recently published interface for music players that benefits from intelligent structuring of audio collections. While the original approach involves the calculation of similarities between every pair of songs in a collection,we incorporate web-based data to reduce the number of necessary similarity calculations. More precisely,we exploit artist similarity determined automatically by means of web retrieval to avoid similarity calculation between tracks of dissimilar and/or unrelated artists. We evaluate our acceleration technique on two audio collections with different characteristics. It turns out that the proposed combination of audio-and text-based similarity not only reduces the number of necessary calculations considerably but also yields better results, in terms of musical quality, than the initial approach based on audio data only. Additionally, we conducted a small user study that further confirms the quality of the resulting playlists.