Portrait of Susan Dumais

Susan Dumais

Deputy Managing Director/Distinguished Scientist


Susan Dumais is a principal researcher in the Context Learning and User Experience for Search (CLUES) group at Microsoft Research.  Her research is at the intersection of information retrieval and human-computer interaction.


Diff-IE Add-on for Internet Explorer

Established: October 4, 2010

Diff-IE tracks changes to pages you visit on the Web and shows you what's changed since the last time you visited. Diff-IE is a prototype Internet Explorer Add-on that: Highlights the changes to a webpage since the last time you…

Support Vector Machines

Established: November 5, 2001

Support vector machines are a set of algorithms that learn from data by creating models that maximize their margin of error. Support vector machines (SVMs) are a family of algorithms for classification, regression, transduction, novelty detection, and semi-supervised learning. They work by choosing…




The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais, in USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV), May 8, 2015, View abstract, Download PDF















Building Bridges from Theory to Practice
Susan Dumais, Mary Czerwinski, in HCI International 2001, 9th Conference on Human-Computer Interaction. Session on Contributions of Basic Research in Psychology to Human Factors and Human-Computer Interaction., August 1, 2001, View abstract





Research Activities

I am interested in algorithms and interfaces for improved information retrieval, as well as general issues in human-computer interaction. I have been at Microsoft Research since July 1997. My current research focuses on gaze-enhanced interaction, the temporal dynamics of information systems, user modeling and personalization, novel interfaces for interactive retrieval, and search evaluation. Previous research studied a variety of information access and management challenges, including personal information management, desktop search, question answering, text categorization, collaborative filtering, interfaces for improving search and navigation, and user/task modeling. I have worked closely with several Microsoft groups (Bing, Windows Desktop Search, SharePoint Portal Server, and Office Online Help) on search-related innovations.

Prior to coming to Microsoft, I co-developed a statistical method for concept-based retrieval known as Latent Semantic Indexing. You can find pointers to this work on the Bellcore (now Telcordia) LSI page.

Other Papers and Talks Online

  • Many of my earlier papers can be found on the Bellcore/Telcordia LSI page.
  • S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer and R. Harshman (1990). Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6), 391-407.
  • T.K. Landauer and S.T. Dumais (1997). A solution to Plato’s problem: the Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. (html) Psychological Review, 104(2), 211-240. This paper takes a somewhat broader cognitive science perspective on dimension reduction and inductive learning.

Awards and Activities