Abstract
This paper presents a knowledge-intensive Case-Based Reasoning system to generate a sequence of songs customised for a community of listeners. To select each song in the sequence, first a subset of songs musically associated with the last song of the sequence is retrieved from a music pool; then the preferences of the audience expressed as cases are reused to customise the selection for the group of listeners; finally listeners can revise their satisfaction (or lack thereof) for the songs they have heard. We have integrated this CBR system with Poolcasting, a social group-based Web radio architecture in which listeners can actively contribute to the music played and influence the channels programming process. The paper introduces the Poolcasting architecture, presents the CBR technique that tailors in real-time the music of each channel for the current audience, and discusses how this approach may radically improve the group-satisfaction of the audience for a Web radio.
This research is partially supported by the MID-CBR (TIN2006-15140-C03-01) project and by a MyStrands scholarship.
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References
Avesani, P., Massa, P., Nori, M., Susi, A.: Collaborative radio community. In: Proc. of Adaptive Hypermedia (2002)
Baccigalupo, C., Plaza, E.: Case-Based Sequential Ordering of Songs for Playlist Recommendation. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, Springer, Heidelberg (2006)
Chao, D.L., Balthrop, J., Forrest, S.: Adaptive Radio: Achieving Consensus Using Negative Preferences. In: Proc. of the GROUP 2005 Conference (2005)
Drews, C., Pestoni, F.: Virtual Jukebox. In: Proc. of the 35th Hawaii Intl. Conf. on System Sciences (2002)
Hayes, C., Cunningham, P., Clerkin, P., Grimaldi, M.: Programme-Driven Music Radio. In: Proc. of the ECAI 2002 Conference (2002)
Hauver, D.B., French, J.C.: Flycasting: Using Collaborative Filtering to Generate a Playlist for Online Radio. In: Proc. of the WEDELMUSIC 2001 Conf. (2001)
Jameson, A., Smyth, B.: What a Difference a Group Makes: Web-Based Recommendations for Interrelated Users. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, Springer, Heidelberg (2007)
Masthoff, J.: Group modeling: Selecting a sequence of television items to suit a group of viewers. User Modeling and User-Adapted Interaction 14, 37–85 (2004)
McCarthy, J.F., Anagnost, T.D.: MusicFX: An Arbiter of Group Preferences for Computer Supported Collaborative Workouts. In: Proc. of the 1998 Computer Supported Cooperative Work Conference (1998)
McCarthy, K., McGinty, L., Smyth, B., Salamó, M.: The Needs of the Many: A Case-Based Group Recommender System. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, Springer, Heidelberg (2006)
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Baccigalupo, C., Plaza, E. (2007). A Case-Based Song Scheduler for Group Customised Radio. In: Weber, R.O., Richter, M.M. (eds) Case-Based Reasoning Research and Development. ICCBR 2007. Lecture Notes in Computer Science(), vol 4626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74141-1_30
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DOI: https://doi.org/10.1007/978-3-540-74141-1_30
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