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Research Area: Search Technologies |
Profile
Erik Vee joined Yahoo! Research in September, 2006. Prior to joining, he was a postdoctoral fellow at the IBM Almaden Research Center in the Computer Science Principles and Methodologies group. He obtained his PhD in Computer Science and Engineering from the University of Washington in 2004. His primary research interests are in algorithm design and analysis, database systems (including probabilistic databases), computational advertising, and complexity theory.
Recent Publications, Projects and News
- Scalable Ranked Publish/Subscribe Ashwin Machanavajjhala; Erik Vee; Minos Garofalakis; Jayavel Shanmugasundaram, VLDB, 2008
- Connectivity structure of bipartite graphs via the knc-plot Ravi Kumar; A. Tomkins; Erik Vee, WSDM, 2008
- Efficient Bulk Insertion into a Distributed Ordered Table Adam Silberstein; Brian F. Cooper; Utkarsh Srivastava; Erik Vee; Ramana Yerneni; Raghu Ramakrishnan, SIGMOD Conference, 2008 [view abstract]
- Efficient Top-K Processing over Query-Dependent Functions Lin Guo; Sihem Amer-Yahia; Raghu Ramakrishnan; Jayavel Shanmugasundaram; Utkarsh Srivastava; Erik Vee, VLDB, 2008
- Efficient Computation of Diverse Query Results Erik Vee; Utkarsh Srivastava; Jayavel Shanmugasundaram; Prashanth Bhat; Sihem Amer-Yahia, ICDE, 2008
- Efficient aggregation algorithms for probabilistic data Jayram, T.S. ; Kale, Satyen ; Vee, Erik, Proceedings of the Eighteenth Annual {ACM-SIAM} Symposium on Discrete Algorithms (SODA`07), 2007
- Personalized ad delivery when ads fatigue: An approximation algorithm. Zoe Abrams; Erik Vee, WINE, 2007
- Estimating statistical aggregates on probabilistic data streams. Jayram, T. S. ; McGregor, Andrew ; Muthukrishnan, S. ; Vee, Erik, Proceedings of the Twenty-Sixth Annual ACM Symposium on Principles of Database Systems (PODS`07), 2007