Leveraging user-specified metadata to personalize image search

Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications

Volumn 1, Issue , 2009, Pages 296-310

  Lerman, Kristina ^a   Plangprasopchok, Anon ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84871399535     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-384-5.ch017     Document Type: Chapter

References (12)

1. th Int. Conf. Very Large Data Bases, VLDB (pp. 487-499). Morgan Kaufmann.
2. th Annual Conference on Uncertainty in Artificial Intelligence (pp. 43-52). San Francisco, CA: Morgan Kaufmann.
3. Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B. Methodological, 39(1), 1-38.
4. Golder, S. A., & Huberman, B. A. (2006). The structure of collaborative tagging systems. Journal of Information Science, 32(2), 198-208. doi:10.1177/0165551506062337
5. Jin, R., Si, L., & Zhai, C. (2006). A study of mixture models for collaborative filtering. Information Retrieval, 9(3), 357-382. doi:10.1007/s10791-006-4651-1
6. Lerman, K., Plangprasopchok, A., & Wong, C. (2007). Personalizing image search results on Flickr. In Proceedings of AAAI Workshop on Intelligent Techniques for Information Personalization. Vancouver, Canada: AAAI Press.
7. Ma, Z., Pant, G., & Liu-Sheng, O. R. (2007). Interest-based personalized search. ACM Transactions on Information Systems, 25(1). doi:10.1145/1198296.1198301
8. Marlow, C., Naaman, M., Boyd, D., & Davis, M. (2006). Ht06, tagging paper, taxonomy, flickr, academic article, toread. Proceedings of Hypertext 2006. New York: ACM.
9. Mobasher, B., Cooley, R., & Srivastava, J. (2000)Automatic personalization based on Web usage mining. Communications of the ACM, 43(8), 142-151. doi:10.1145/345124.345169
10. th Conference on Uncertainty in Artificial Intelligence (pp. 437-444).
11. th Conference on Uncertainty in Artificial Intelligence (pp. 487-494). Arlington, VA: AUAI Press.
12. Schafer, J., Frankowski, D., Herlocker, J., & Sen, S. (2007). Collaborative filtering recommender systems. The Adaptive Web, 291-324.