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Research Area: Machine Learning |
Profile
Dr. Seung-Taek Park joined Yahoo! Research in 2004 after completing his PhD study in the Department of Computer Science and Engineering at The Penn State University. He conducts research on robust information retrieval, personalization, recommender systems and modeling of graph-based Internet and Web topologies. He has published five conference and journal papers at ACM SIGIR, IEEE INFOCOM, ACM TOIS and WWW and has been serving as an external reviewer for several conferences.
Recent Publications, Projects and News
- Applying collaborative filtering techniques to movie search for better ranking and browsing Park, Sueng-Taek ; Pennock, David M., ACM Conference on Knowledge Discovery and Data Mining, 2007
- Naive filterbots for robust cold-start recommendations Park, Seung-Taek ; Pennock, David ; Madani, Omid ; Good, Nathan ; DeCoste, Dennis, ACM Conference on Knowledge Discovery and Data Mining, 2006
- Comparing static and dynamic measurements and models of the Internet's AS topology Park, Seung-Taek ; Pennock, David M. ; Giles, C. Lee, Conference of the IEEE Communications Society, 2004
- Analysis of lexical signatures for improving information persistence on the World Wide Web Park, Seung-Taek ; Pennock, David M. ; Giles, C. Lee ; Krovetz, Robert, ACM Transactions on Information Systems, 2004
- Static and Dynamic Analysis of the Internet's Susceptibility Park, Seung-Taek ; Khrabrov, Alexy ; Pennock, David M. ; Lawrence, Steve ; Giles, C. Lee ; Ungar, Lyle H., Conference of the IEEE Computer and Communications Societies, 2003