Exploring social tagging for personalized community recommendations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Education
Link
http://link.springer.com/content/pdf/10.1007/s11257-012-9130-3.pdf
Reference46 articles.
1. Abel, F., Herder, E., Houben, G.-J., Henze, N., Krause, D.: Cross-system user modeling and personalization on the social Web. In: Brusilovski, P., Chin, D. (eds.) Special Issue on Personalization in Social Web Systems, User Modeling and User-Adapted Interaction (2013)
2. Adomavicius G., Tuzhilin A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data. Eng. 17(6), 734–749 (2005)
3. Baatarjav, E.-A., Phithakkitnukoon, S., Dantu, R.: Group recommendation system for Facebook. In: Meersman, R., Tari, Z., Herrero P. (eds.) Proceedings of On the Move to Meaningful Internet Systems: OTM 2008 Workshops, Monterrey, Mexico, pp. 211–219. Springer, Berlin (2008)
4. Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 44–54. ACM, New Work (2006)
5. Bianchini M., Gori M., Scarselli F.: Inside PageRank. ACM Trans. Intern. Technol. 5(1), 92–128 (2005)
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