| 參考文獻: | [1] 高臺茜、倪珮晶,華語文網路言論負向情緒用詞檢核軟體研發,第三屆全球華文網路教育研討會(ICICE2003)論文集,2003。
[2] G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles, “Towards a Better Understanding of Context and Context-Awareness,” Proceedings of IEEE International Symposium on Handheld and Ubiquitous Computing, 1999.
[3] M. G. Brown, “Supporting User Mobility,” Proceeding of International Federation for Information Processing on Mobile Communications, 1996.
[4] R. Cai, C. Zhang, C. Wang, L. Zhang, and W. Y. Ma, “MusicSense: Contextual Music Recommendation Using Emotional Allocation Modeling,” Proceedings of ACM International Conference on Multimedia, 2007.
[5] R. Cai, C. Zhang, L. Zhang, and W. Y. Ma, “Scalable Music Recommendation by Search,” Proceedings of ACM International Conference on Multimedia, 2007.
[6] P. Cano, M. Koppenberger, and N. Wack, “Content-based Music Audio Recommendation,” Proceedings of ACM International Conference on Multimedia, 2005.
[7] H. C. Chen and A. L. P. Chen, “A Music Recommendation System Based on Music Data Grouping and User Interests,” Proceedings of ACM International Conference on Information and Knowledge Management, 2001.
[8] W. W. Cohen, and W. Fan, “Web-collaborative Filtering: Recommending Music by Crawling the Web,” International Journal of Computer and Telecommunications Networking, Volume 33, Issue 1-6, 2000.
[9] J. R. Cooperstock, K. Tanikoshi, G. Beirne, T. Narine, and W. Buxton, “Evolution of a Reactive Environment,” Proceedings of ACM International Conference on Human
55
Factors in Computing Systems, 1995.
[10] B. Cui, L. Liu, C. Pu, J. Shen., and K. L. Tan, “QueST: Querying Music Databases by Acoustic and Textual Features,” Proceedings of ACM International Conference on Multimedia, 2007.
[11] A. K. Dey, “Understanding and Using Context,” Personal and Ubiquitous Computing, Volume 5, Issue 1, 2001.
[12] S. Elrod, G. Hall, R. Costanza, M. Dixon, and J. D. Rivières, “Responsive Office Environments,” Communications of the ACM, Volume 36, Issue 7, 1993.
[13] S. Fickas, G. Kortuem, and Z. Segall, “Software Organization for Dynamic and Adaptable Wearable Systems” Proceedings of IEEE International Symposium on Wearable Computers, 1997.
[14] R. Hull, P. Neaves, and J. Bedford-Roberts, “Towards Situated Computing,” Proceedings of IEEE International Symposium on Wearable Computers, 1997.
[15] J. S. Jang, Audio Signal Processing and Recognition, http://neural.cs.nthu.edu.tw/jang/books/audioSignalProcessing/index.asp.
[16] D. Kirovski and H. Attias, “Beat-id: Identifying Music via Beat Analysis,” Proceeding of IEEE Workshop on Multimedia Signal Processing, 2002.
[17] P. Knees, E. Pampalk, and G. Widmer, “Artist Classification with Web-based Data,” Proceedings of International Symposium on Music Information Retrieval, 2004.
[18] F. F. Kuo, M. F. Chiang., M. K. Shan, and S. Y. Lee, “Emotion-based Music Recommendation by Association Discovery from Film Music,” Proceedings of ACM International Conference on Multimedia, 2005.
[19] Q. Li, B. M. Kim, D. H. Guan, and D. W. Oh, “A Music Recommender Based on Audio Features,” Proceedings of ACM International Conference on Research and Development
56
in Information Retrieval, 2004.
[20] G. C. Li, K.Y. Liu and Y. K. Zhang, “Identifying Chinese Word and Processing Different Meaning Structures”, Journal of Chinese Information Processing, Volume 2, 1988.
[21] N.Y. Liang, “Knowledge of Chinese Word Segmentation”, Journal of Chinese Information Processing, Volume 4, Issue 2, 1990
[22] B. Liu, W. Hsu, and Y. Ma, “Integrating Classification and Association Rule Mining,” Proceeding of ACM International Conference on Knowledge Discovery and Data Mining, 1998.
[23] B. Logan, “Music Recommendation from Song Sets,” Proceedings of ACM International Conference on Music Information Retrieval, 2004.
[24] J MacQueen, "Some Methods for Classification and Analysis of Multivariate Observations,” Proceedings of Berkeley Symposium on Mathematical Statistics and Probability, 1967.
[25] D. Mcennis, C. Mckay, I. Fujinaga, and P. Depalle, “jAudio: a Feature Extraction Library,” Proceeding of International Conference on Music Information Retrieval, 2005.
[26] J. Y. Pan, H. J. Yang, C. Faloutsos, and P. Duygulu, “Automatic Multimedia Cross-modal Correlation Discovery,” Proceeding of ACM International Conference on Knowledge Discovery and Data Mining, 2004.
[27] H. S. Park, J. O. Yoo, and S. B. Cho, “A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory,” Proceeding of Fuzzy Systems and Knowledge Discovery, 2007.
[28] J. Pascoe, “Adding Generic Contextual Capabilities to Wearable Computers,” Proceedings of IEEE International Symposium on Wearable Computers, 1998.
[29] J Rekimoto, Y. Ayatsuka, and K. Hayashi, “Augment-able Reality: Situated
57
Communication through Physical and Digital Spaces,” Proceedings of IEEE International Symposium on Wearable Computers, 1998.
[30] B. Schilit, N. Adams, and R. Want, “Context-Aware Computing Applications,” Proceeding of IEEE Workshop on Mobile Computing Systems and Applications, 1994.
[31] B. Schilit and M. Theimer, “Disseminating Active Map Information to Mobile Hosts,” IEEE Network, Volume 8, Issue 5, 1994.
[32] U. Shardanand, “Social Information Filtering for Music Recommendation,” Master Thesis, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1994.
[33] J. Shen, L. Li and T. G. Dietterich, “Real-Time Detection of Task Switches of Desktop Users,” Processing of International Joint Conference on Artificial Intelligence, 2007.
[34] T. Li, M. Ogihara, and Q. Li, “A Comparative Study on Content-Based Music Genre Classification,” Proceedings of ACM SIGIR Conference on Research and Development in Informaion Retrieval, 2003.
[35] R. E. Thayer, The Biopsychology of Mood and Arousal, Oxford University Press, ISBN 0195051629, 1989.
[36] F. A. Thabtah and P. I. Cowling, “A Greedy Classification Algorithm Based on Association Rule,” Applied Soft Computing, Volume 7, Issue 3, 2007.
[37] F. A. Thabtah, P. I. Cowling, and P. Yonghong, “MMAC: a New Multi-Class, Multi-Label Associative Classification Approach,” Proceeding of IEEE International Conference on Data Mining, 2004.
[38] G. Tzanetakis and P. Cook, “Musical Genre Classification of Audio Signals,” IEEE Transactions on Speech and Audio Processing, Volume 10, Issue 5, 2002.
[39] Y. H. Yang, Y. C. Lin, Y. F. Su, and H. H. Chen, “A Regression Approach to Music
58
Emotion Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, Volume 16, Issue 2, 2007.
[40] Y. Yang and G. Webb, “Proportional k-Interval Discretization for Naive-Bayes Classifiers,” Proceeding of European Conference on Machine Learning, 2001.
[41] K. Yoshii, M. Goto, K. Komatani, T. Ogata, and H. Okuno, “Hybrid Collaborative and Content-based Music Recommendation Using Probabilistic Model with Latent User Preferences,” Proceeding of International Conference on Music Information Retrieval, 2006.
[42] Feeling Words: http://eqi.org/fw.htm
[43] Last.fm. http://www.last.fm/. |