Hot Topic Detection on BBS Using Aging Theory

Author:

Zheng Donghui,Li Fang

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y.: Topic detection and tracking pilot study: Final report. In: Proc. of the DARPA Broadcast News Transcription and Understanding Workshop. OMG Press, Needham (1998)

2. Canhui, W., Min, Z., Liyun, R., Shaoping, M.: Automatic online news topic ranking using media focus and user attention based on aging theory. In: Proceeding of the 17th ACM conference on Information and knowledge management, pp. 1033–1042. ACM Press, New York (2008)

3. Yang, Y., Pierce, T., Carbonell, J.: A study of retrospective and online event detection. In: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, pp. 28–36. ACM Press, New York (1998)

4. Zhu, M., Hu, W., Ou, W.: Topic Detection and Tracking for Threaded Discussion Communities. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 77–83. IEEE Press, Washington (2008)

5. Huimin, Y., Wei, C., Guanzhong: Design and implementation of online hot topic discovery model. J. Wuhan University Journal of Natural Sciences 11(1), 21–26 (2006)

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