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Contextual Information Retrieval

My doctoral work focused on how understanding context in human memory could improve intelligent information retrieval in machines:

Context Sensitive Asynchronous Memory

For this work, I received my Ph.D. in Artificial Intelligence from the College of Computing of the Georgia Institute of Technology in 2000.

While at Tech my research focused on context and its influence on memory, reasoning and behavior.

  • Thesis Proposal (HTML)
  • Dissertation (PDF)

My thesis committee was:

  • Dr. Ashwin Ram (computer science)
  • Dr. Janet Kolodner (computer science)
  • Dr. Kurt Eiselt (computer science)
  • Dr. Ashok Goel (computer science)
  • Dr. Nancy Nersessian (computer science, psychology, philosophy)

I conducted information retrieval research related to my doctoral work jointly at Georgia Tech and at Enkia Corporation, which was reported in the following publications:

Since then, I’ve learned a lot more about information retrieval, most of that while working in the Core Ranking group of Google’s Search Quality group, where I learned everything I thought I knew was wrong. CDSA is likely still a good idea, but I’d approach things far differently now – starting with a much, much larger retrieval corpus.