The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January-March (2011 vol.18)
pp: 78-87
Jonghun Park , Seoul National University
Sang-Jin Lee , Seoul National University
Sung-Jun Lee , Seoul National University
Kwanho Kim , Seoul National University
Beom-Suk Chung , Seoul National University
Yong-Ki Lee , Seoul National University
ABSTRACT
<p>A framework for recommending online videos operates by constructing user profiles as an aggregate of tag clouds and generating recommendations according to similar viewing patterns.</p>
INDEX TERMS
recommendation, online videos, tag clouds, tag cloud similarity, social media, hybrid filtering
CITATION
Jonghun Park, Sang-Jin Lee, Sung-Jun Lee, Kwanho Kim, Beom-Suk Chung, Yong-Ki Lee, "Online Video Recommendation through Tag-Cloud Aggregation", IEEE MultiMedia, vol.18, no. 1, pp. 78-87, January-March 2011, doi:10.1109/MMUL.2010.6
REFERENCES
1. G. Adomavicius and A. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, 2005, pp. 734-749.
2. M. Dubinko et al., "Visualizing Tags Over Time," ACM Trans. the Web, vol. 1, no. 2, 2007.
3. D. Yamamoto et al., "Video Scene Annotation Based on Web Social Activities," IEEE Multimedia, vol. 15, no. 3, 2008, pp. 22-32.
4. J. Park, B-C. Choi, and K. Kim, "A Vector Space Approach to Tag Cloud Similarity Ranking," Information Processing Letters, vol. 110, nos. 12-13, 2010, pp. 489-496.
5. R. Kohavi, B. Becker, and D. Sommerfield, "Improving Simple Bayes," Proc. European Conf. Machine Learning (ECML), Springer, 1997.
6. B. Sarwar et al., "Analysis of Recommendation Algorithms for E-Commerce," Proc. 2nd ACM Conf. Electronic Commerce, ACM Press, 2000, pp. 158-167.
7. M. Deshpande and G. Karypis, "Item-Based Top-N Recommendation Algorithms," ACM Trans. Information Systems, vol. 22, no. 1, 2004, pp. 143-177.
21 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool