Abstract
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity matching method that combines collaborative filtering with ontology-based semantic distance measurements. We dynamically generate a personalized music playlist, from a selection of recommended playlists, which comprises the most relevant tracks to the user. Our Web recommender system features three functionalities: (1) predict the likability of a user towards a specific music playlist, (2) recommend a set of music playlists, and (3) compose a new personalized music playlist. Our experimental results will show the efficacy of our hybrid similarity matching approach and the information personalization method.
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References
Billsus, D., Pazzani, M., Chen, J.: A Learning Agent for Wireless News Access. In: Proc. of the Intl. Conf. on Intelligent User Interfaces, pp. 33–36 (2002)
Cano, P., Koppenberger, M., Wack, N.: An industrial-Strength content-based Music Recommendation System. In: Proc. 28th Intl. ACM SIGIR Conf. on Research and Development in Information Retrieval, Salvador, Brazil (2005)
Shani, G., Chickering, M., Meek, C.: Mining Recommendations from the Web. In: Proceedings of the 2nd Intl. Recommender Systems Conference, RecSys (2008)
Debnath, S., Ganguly, N., Mitra, P.: Feature weighting in content based recommendation system using social network analysis. In: Proc. 17th Intl. Conf. on World Wide Web, Beijing, China, pp. 1041–1042 (2008)
Katakis, I., Tsoumakas, G., Banos, E., Bassiliades, N., Vlahavas, J.: An adaptive personalized news dissemination system. Journal of Intelligent Information Systems 32, 191–212 (2009)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-Based Collaborative Filtering Recommendation Algorithms. In: Proc. of the 10th Intl. WWW Conference (2001)
Hau, J., Lee, W., Darlington, J.: A Semantic Similarity Measure for Semantic Web Services. In: Web Service Semantics: Towards Dynamic Business Integration (2005)
Resnick, P., et al.: GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In: Proc. of ACM Conf. on Computer Supported Cooperative Work, pp. 175–186. Chapel Hill, NC (1994)
Celma, O., Ramrez, M.H.P.: Foafing the music: A Music Recommendation System Based on RSS Feeds and User Preferences. In: Proc. 6th Intl. Conf. on Music Information Retrieval (2005)
Cotter, P., Smyth, B.: PTV: Intelligent Personalized TV Guides. In: Proc. 12th Conf. Innovative Applications of Artificial Intelligence, pp. 957–964. MIT Press, Cambridge (2000)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of Recommendation Algorithms for e-commerce. In: 2nd ACM conf. on Electronic Commerce, pp. 158–167 (2000)
Abidi, S.S.R.: Designing Adaptive Hypermedia for Internet Portals: A Personalization Strategy Featuring Case Base Reasoning With Compositional Adaptation. In: Garijo, F.J., Riquelme, J.-C., Toro, M. (eds.) IBERAMIA 2002. LNCS (LNAI), vol. 2527, Springer, Heidelberg (2002)
Abidi, S.S.R.: Intelligent Information Personalization; From Issues to Strategies. In: Germanakos, P. (ed.) Intelligent User Interfaces: Adaptation and Personalization Systems and Technologies. IGI Global Press (2008)
Mobasher, B., Jin, X., Zhou, W.: Semantically Enhanced Collaborative Filtering on the Web. In: Berendt, B., Hotho, A., Mladenič, D., van Someren, M., Spiliopoulou, M., Stumme, G. (eds.) EWMF 2003. LNCS (LNAI), vol. 3209, pp. 57–76. Springer, Heidelberg (2004)
Spivack, N.: The Third-Generation Web is Coming, http://www.KurzweilAI.net/
Schafer, J., Frankowski, D., Herlocker, J., Sen, S.: Collaborative Filtering Recommender Systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 291–324. Springer, Heidelberg (2007)
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Chedrawy, Z., Abidi, S.S.R. (2009). A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds) Web Information Systems Engineering - WISE 2009. WISE 2009. Lecture Notes in Computer Science, vol 5802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04409-0_34
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DOI: https://doi.org/10.1007/978-3-642-04409-0_34
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