Automatic and personalized recommendation of TV program contents using sequential pattern mining for smart TV user interaction

Author:

Pyo Shinjee,Kim Eunhui,Kim Munchurl

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference22 articles.

1. Kim, E., Pyo, S., Park, E., Kim, M.: An automatic recommendation scheme of TV program contents for (IP)TV personalization. IEEE Trans. Broadcast. 57(3), 674–684 (2011)

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. Burke, R.: Hybrid recommender systems: survey and experiments. User Model. User-Adapt. Interact. 12(4), 331–370 (2002)

4. Agrawal, R., Srikant, R.: Mining sequential patterns. 11th International Conference on Data Engineering, Taipei, Taiwan, pp 3–14 (1995)

5. Pyo, S., Kim, E., Kim, M.: Automatic recommendation of (IP) TV program schedules using sequential pattern mining. Adjunct Proceedings of EuroITV 2009, Leuven, Belgium, pp 50–53 (2009)

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