| 2011 | ICDM | Novel Recommendation Based on Personal Popularity Tendency. | Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park |
| 2009 | KDD | A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. | Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah |
| 2009 | RecSys | Pairwise preference regression for cold-start recommendation. | Seung-Taek Park, Wei Chu |
| 2009 | WWW | Personalized recommendation on dynamic content using predictive bilinear models. | Wei Chu, Seung-Taek Park |
| 2007 | KDD | Applying collaborative filtering techniques to movie search for better ranking and browsing. | Seung-Taek Park, David M. Pennock |
| 2006 | KDD | Nave filterbots for robust cold-start recommendations. | Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste |
| 2004 | INFOCOM | Comparing static and dynamic measurements and models of the Internet's AS topology. | Seung-Taek Park, David M. Pennock, C. Lee Giles |
| 2003 | INFOCOM | Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. | Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar |
| 2003 | WWW | A Caching Mechanism for Improving Internet based Mobile Ad Hoc Networks Performance. | Sunho Lim, Seung-Taek Park, Wang-Chien Lee, Guohong Cao, Chita R. Das, C. Lee Giles |
| 2002 | SIGIR | Analysis of lexical signatures for finding lost or related documents. | Seung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz |