Study on Metric of Genreic Intertexuality Based on User Behavior

Abstract:

Using the genre perspective, we studied the electronic communication of knowledge users collaborating on a movie community and found that their work and interactions were mediated by the use of genres. Drawing on these findings, we develop the concept of genre repertoire to designate the set of genres enacted by groups, organizations, or communities to accomplish their work. Automatic discourse classification according to genre in social information sharing, transfer and knowledge communication provides a higher level of service quality. By investigating user behavior in movie community, the relationship between intertextuality of discourse genre and user behavior was studied. We denoted genre by using vector, and discourse genre intertextuality intensity is measured with vector distance. And for those discourse which genre is unknown, genre intertextuality is calculated using user behavior. The results show that user various behaviors stickiness in movie community and discourse genre intertextuality intensity have potential common features.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 1503-1509
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.1503
• Online since: December 2012
• Authors: Ya Ping Wan, Xiao Hua Yang, Zhi Ming Liu, Xiao Yun Li, Chun Ping Ouyang, Ying Yu, Hui Jiang
• Keywords: Genre, Intertexuality, Movie Community, User Behavior

References

[1] KONG Weize; LIU Yiqun; ZHANG Min; MA Shaoping. Answer Quality Analysis on Community Question Answering. Journal of Chinese Information Processing, 2011,25(1):3-8.

[2] WANG Yu-Xiang QIAO Xiu-Quan LI Xiao-Feng MENG Luo-Ming. Research on Context-Awareness Mobile SNS Service Selection Mechanism. Chinese Journal of Computers, 2010,33(11):2126-2135.

DOI: 10.3724/sp.j.1016.2010.02126

[3] FANG Zhi-fei; LIN Hong-fei; YANG Zhi-hao; ZHAO Jing. Automatic Classification of Chinese Text Genre. Journal of Chinese Information Processing,2006,20(2):24-32.

[4] Benno Stein,Sven Meyer zu Eissen.Retrieval Models for Genre Classification.Journal of Information Systems,2008,20(1):93-119

[5] Kevin Crowston, Barbara H. Kwasnik. A Framework for Creating a Facetted Classification for Genres:Addressing Issues of Multidimensionality. Proceedings of the 37th Hawaii International Conference on System Sciences,2004,1-9

DOI: 10.1109/hicss.2004.1265268

[6] Luanne Silvia Freund. Exploiting task-document relations in support of information retrieval in the workplace. Doctoral dissertation. Faculty of Information Studies, University of Toronto. 2008.

[7] V. Vidulin, M. Luštrek, M. Gams. Using Genres to Improve Search Engines. Proceedings of the International Workshop "Towards Genre-Enabled Search Engines: The Impact of NLP". Borovets, Bulgaria. September, 2007.

[8] M. Swales, J. M.. Genre Analysis:English in Academic and Research Settings. Cambridge:Cambridge University Press,1990.

[9] Inger Askehave, M. Swales.Genre Identification and Comminicative Purpose:A Problem and a Possible Solution.Applied Linguistics,2001,22(2):195-212

DOI: 10.1093/applin/22.2.195

[10] W. J. Orlikowski, J. Yates. Genre repertoire: The structuring of communicative practices in organizations.Administrative Sciences,1994, 33(1): 541-574

DOI: 10.2307/2393771

[11] Mark A. Rosso. User-Based Identification of Web Genres. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY,2008,59(7):1053-1072.

DOI: 10.1002/asi.20798

[12] Inger Askehave,Anne Ellerup Nielsen. Digital genres: a challenge to traditional genre theory. Information Technology & People,2005,18(2):120-141

DOI: 10.1108/09593840510601504

[13] Marina Santini. Automatic Genre Identification:Towards a Flexible Classification Scheme. BCS IRSG Symposium: Proceedings of Future Directions in Information Access,2007.

[14] Marina Santini. Cross-Testing a Genre Classification Model for the Web. Text, Speech and Language Technology, 2011, 42(3):87-128

DOI: 10.1007/978-90-481-9178-9_5

[15] V. Vidulin, M. Luštrek, M. Gams. Using Genres to Improve Search Engines. Proceedings of the International Workshop "Towards Genre-Enabled Search Engines: The Impact of NLP". Borovets, Bulgaria. September, 2007.

[16] Mark A. Rosso. User-Based Identification of Web Genre. Journal of the American Society for Information Science and Technology,2008,59(7):1053-1072

[17] ZHU Li Yuan. Modern History of Western Aesthetics. ShangHai：Shanghai Literature and Art Publishing House，1993.

[18] XIN Bin. On a pragmatic approach to intertextuality. FOREIGN LANGUAGE RESEARCH, 2000,(3).

[19] Fowler,Roger.Language in the News:Discourse and Ideology in the Press.New York: Routledge,Chapman and Hall Inc.,1991.