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Research Area: Search Technologies, Machine Learning, Computational Advertising |
Profile
John Tomlin joined Yahoo! Research in September 2005. Prior to this, he was a Research Staff Member at the IBM Almaden Research Center, in the Services Research and Mathematics departments. His primary interests are in optimization, network algorithms and linear algebra. He obtained his B.Sc. and Ph.D. in Mathematics from the University of Adelaide, South Australia, and later was awarded a post-doctoral fellowship in the Operations Research department at Stanford University. See his Real Web Page for a full bibliography and other information.
Recent Publications, Projects and News
- Ad Delivery with Budgeted Advertisers: A Comprehensive LP Approach Z. Abrams; S. Sathiya Keerthi; O. Mendelevitch; J.A. Tomlin, Journal of Electronic Commerce Research, 2008 [view abstract]
- Optimal Delivery of Sponsored Search Advertisements Subject to Budget Constraints Zoe Abrams; Ofer Mendelevitch; John A. Tomlin, EC'07, ACM Press, 2007 [view abstract]
- Matrix Methods for Lost Data Reconstruction in Erasure Codes James Lee Hafner; Veera Deenadhayalan; K.K. Rao; John A. Tomlin, 4th USENIX Conference on File and Storage Technologies (FAST '05), 2005
- A Dynamic Model of Traffic on the Web for Analyzing Network Response to Attack John A. Tomlin, Workshop on Link Analysis, Counter-Terrorism and Privacy, 2004 [view abstract]
- Ranking the Web Frontier Nadav Eiron; Kevin S. McCurley; John A. Tomlin, WWW2004, ACM Press, 2004 [view abstract]
- A New Paradigm for Ranking Pages on the World Wide Web John A. Tomlin, WWW2003, ACM Press, 2003 [view abstract]
- Searching the Workplace Web Ronald Fagin; Ravi Kumar; Kevin S. McCurley;Jasmine Novak; D. Sivakumar;John A. Tomlin; David P. Williamson, WWW2003, ACM Press, 2003 [view abstract]