Graduated Students

"Much have I learned from my teachers, more from my colleagues, but from my students, most of all."—Rabbi Hanina (b. Ta'anit 7a)

PhD Students Advised (16)
  • Dr. Anthony Fader
    Independent Consultant in NLP "Open Information Extraction" 2014
  • Dr. Alan Ritter
    The Ohio State University "Information Extraction in Social Media" 2013
  • Dr. Thomas Lin
    Microsoft Leveraging Knowledge Bases in Web Text Processing 2012
  • Dr. Stefan Schoenmackers
    eBay Inference over the Web 2011
  • Dr. Michele Banko
    Microsoft Open Information Extraction for the Web 2009

    Investigated the problem of extracting information from arbitrary Web text in a scalable, domain-independent manner.

  • Dr. Mike Cafarella
    University of Michigan Extracting and Managing Structured Web Data Co-advisors: Dan Suciu and Alon Halevy 2009

    Bridged the gap between information extraction and databases.

  • Dr. Doug Downey
    Northwestern University Redundancy in Web-scale Information Extraction: Probabilistic Model and Experimental Result 2008

    Investigated in depth what we can learn from finding extractions repeatedly in the Web corpus.

  • Dr. Alex Yates
    Temple University Information Extraction from the Web: Techniques and Applications 2007

    Investigated the problem of unsupervised synonym resolution on the Web.

  • Dr. Ana-Maria Popescu
    Pinterest Information Extraction from Unstructured Web Text 2007

    Investigated how to extract high-quality information from Web text. Her most impressive demonstration was the Opine system, which extracted product attributes, and associated opinions, from reviews found on-line.

  • Dr. Luke McDowell
    U.S. Naval Academy Bringing Meaning to the Masses Co-advisor: Alon Halevy 2004

    Investigated how to make the Semantic Web a reality and how to generalize the vision to encompass email as well.

  • Dr. Mike Perkowitz
    HBO Adaptive Web Sites 2000

    Investigated web sites that automatically reconfigure their layout and presentation by analyzing user access patterns recorded in their server logs.

  • Dr. Oren Zamir
    Google Clustering Web Documents: A Phrase-Based Method for Grouping Search Engine Results 1999

    Investigated the use of a novel and fast clustering algorithm to group the results of Web search engines into easily-browsed clusters. The most distinctive aspect of the algorithm was its treatment of documents as strings of words, represented by a suffix tree, in contrast with the standard vector-based representation.

  • Dr. Erik Selberg
    Microsoft Towards Comprehensive Web Search 1999

    Explored meta-search as embodied in MetaCrawler. The dissertation was the first to show (back in WWW4, 1995) that the fraction of the Web covered by individual search engines such as Alta Vista and Lycos was very limited, demonstrating the need for meta-search engines.

  • Dr. Keith Golden
    NASA Ames, Google Planning Support for Softbots 1997

    Investigated novel planning and knowledge representation techniques to support softbots.

  • Dr. Neal Lesh
    Dimagi Scalable and Adaptive Goal Recognition 1997

    Focused on automating the construction of plan libraries adapting techniques from planning and concept learning. His objective was to scale up goal recognition to domains containing millions of plans and goals.

  • Dr. Richard Segal
    IBM Watson research center Machine Learning as Massive Search 1996

    Focused on data mining using massive search: our BRUTE data mining software can analyze over 100,000 hypotheses per second, when run on a SPARC-10.

MA Students Advised (4)
  • Tessa Lau
    Savioke "Privacy in a Collaborative Web Browsing Environment" 1997 UW PhD with Weld and Domingos, 2001
  • Marc Langheinrich
    University of Lugano in Switzerland "A domain independent architecture for efficient information retrieval on the World Wide Web" 1997 PhD at the University of Bielefeld
  • Jonathan Shakes
    Amazon "Dynamic Reference Sifting: a Case Study in the Homepage Domain" 1996
  • Terrance Goan
    Stottler Henke "Learning About Software Errors" 1994
Undergraduate Students Advised (22)
  • Michael Skinner

    Google 2008
  • Michael Schmitz

    Allen Institute for Artificial Intelligence 2007
  • Kobi Reiter

    Google 2006
  • Bao Nguyen

    Microsoft 2005
  • Michael Lindmark

    Amazon 2005
  • Tessa MacDuff

    Google 2004
  • Jeff Lin

    Microsoft 2003
  • Gary Lau

    Go2Net 1999
  • Zhenya Sigal

    Microsoft 1997
  • Christen Boyd

    Netbot 1997
  • Darren Schack

    Real Networks 1996
  • Adam Loving

  • Nick Hart

    Real Networks 1996
  • Nels Benson

    Japan 1995
  • Dymitr Mozdyniewicz

    Quark 1995
  • Guido Hunt

  • Greg Fichtenholtz

    Hewlett-Packard, Stanford 1994
  • William Alford

    PhD program, University of Wisconsin 1994
  • Robert Spiger

    Lockheed, AI research center 1993
  • Bruce Lesourd

  • Julie Roomy

    Hewlett-Packard, OGI 1993
  • Stephen Soderland

    PhD program, Umass Amherst, now research scientist at UW CSE 1992