Abstract
Computerized presentation slides have become essential for effective business meetings, classroom discussions, and even general events and occasions. With the exploding number of online resources and materials, locating the slides of high quality is a daunting challenge. In this study, we present a new, comprehensive framework of information quality developed specifically for computerized presentation slides on the basis of a user study involving 60 university students from two universities and extensive coding analysis, and explore the possibility of automatically detecting the information quality of slides. Using the classifications made by human annotators as the golden standard, we compare and evaluate the performance of alternative information quality features and dimensions. The experimental results support the validity of the proposed approach in automatically assessing and classifying the information quality of slides.
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References
Bendersky, M., Croft, W.B., Diao, Y.: Quality-biased ranking of web documents. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, pp. 95–104. ACM, Hong Kong (2011)
Dalip, D.H., Gonçalves, M.A., Cristo, M., Calado, P.: Automatic quality assessment of content created collaboratively by web communities: a case study of wikipedia. In: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 295–304. ACM, Austin (2009)
Zhou, Y., Croft, W.B.: Document quality models for web ad hoc retrieval. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 331–332. ACM, Bremen (2005)
Hu, M., Lim, E.-P., Sun, A., Lauw, H.W., Vuong, B.-Q.: Measuring article quality in wikipedia: models and evaluation. In: Proceedings of the 16th ACM International Conference on Information and Knowledge Management, pp. 243–252. ACM, Lisbon (2007)
Stvilia, B., Gasser, L., Twidale, M.B., Smith, L.C.: A framework for information quality assessment. J. Am. Soc. Inf. Sci. Tec. 58, 1720–1733 (2007)
Alkhattabi, M., Neagu, D., Cullen, A.: Assessing information quality of e-learning systems: a web mining approach. Computers in Human Behavior 27, 862–873 (2011)
Fleiss, J.L.: Measuring nominal scale agreement among many raters. Psychological Bulletin 76, 378–382 (1971)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explorations Newsletter 11, 10–18 (2009)
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Kim, S., Jung, W., Han, K., Lee, JG., Yi, M.Y. (2014). Quality-Based Automatic Classification for Presentation Slides. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_69
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DOI: https://doi.org/10.1007/978-3-319-06028-6_69
Publisher Name: Springer, Cham
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