2015 - Fellow of the American Academy of Arts and Sciences
2014 - ACM Athena Lecturer Award For contributions to algorithms and interfaces for interactive information retrieval.
2011 - Member of the National Academy of Engineering For innovation and leadership in organizing, accessing, and interacting with information.
2006 - ACM Fellow For research contributions to information retrieval and human-computer interaction.
Susan T. Dumais mainly focuses on Information retrieval, Artificial intelligence, Natural language processing, World Wide Web and Latent semantic indexing. Her Information retrieval study combines topics from a wide range of disciplines, such as Ranking, Web page and Personalization. Susan T. Dumais has researched Artificial intelligence in several fields, including Structure, Machine learning, Speech recognition and Computer vision.
In the subject of general Natural language processing, her work in Probabilistic latent semantic analysis is often linked to Inductive transfer, thereby combining diverse domains of study. Susan T. Dumais has included themes like Latent semantic analysis and Document retrieval in her Probabilistic latent semantic analysis study. Her research investigates the connection between World Wide Web and topics such as Relevance that intersect with problems in User modeling, Decision tree and Desktop search.
Susan T. Dumais mainly investigates Information retrieval, World Wide Web, Artificial intelligence, Search engine and Natural language processing. Susan T. Dumais works mostly in the field of Information retrieval, limiting it down to topics relating to Personalization and, in certain cases, Serendipity, as a part of the same area of interest. In her study, Data science is inextricably linked to Context, which falls within the broad field of World Wide Web.
Her biological study spans a wide range of topics, including Machine learning, Data mining and Computer vision. Her Natural language processing research integrates issues from Document retrieval and Vocabulary. Her Probabilistic latent semantic analysis study integrates concerns from other disciplines, such as Latent semantic analysis, Concept search and Latent semantic indexing.
Susan T. Dumais spends much of her time researching World Wide Web, Information retrieval, Data science, Search engine and Human–computer interaction. Her research in the fields of Search analytics, Email search and Session overlaps with other disciplines such as Software and HTML email. She is studying Web search engine, which is a component of Information retrieval.
Her research on Data science also deals with topics like
The scientist’s investigation covers issues in World Wide Web, Human–computer interaction, Search analytics, Information retrieval and Internet privacy. Her work on Session and Exploratory search as part of general World Wide Web research is often related to HTML email and Log data, thus linking different fields of science. Her Human–computer interaction research is multidisciplinary, incorporating perspectives in Recommender system, Multimedia and Gaze, Computer vision.
Susan T. Dumais interconnects Personalization and Semantic search in the investigation of issues within Search analytics. Specifically, her work in Information retrieval is concerned with the study of Search engine. Her Internet privacy research focuses on Reading and how it connects with News aggregator.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Indexing by Latent Semantic Analysis
Scott Deerwester;Susan T. Dumais;George W. Furnas;Thomas K. Landauer.
Journal of the Association for Information Science and Technology (1990)
A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
Thomas K. Landauer;Susan T. Dumais.
Psychological Review (1997)
Support vector machines
M.A. Hearst;S.T. Dumais;E. Osman;J. Platt.
IEEE Intelligent Systems & Their Applications (1998)
Using linear algebra for intelligent information retrieval
Michael W. Berry;Susan T. Dumais;Gavin W. O'Brien.
Siam Review (1995)
Inductive learning algorithms and representations for text categorization
Susan Dumais;John Platt;David Heckerman;Mehran Sahami.
conference on information and knowledge management (1998)
A Bayesian Approach to Filtering Junk E-Mail
Mehran Sahami;Susan Dumais;David Heckerman;Eric Horvitz.
national conference on artificial intelligence (1998)
The vocabulary problem in human-system communication
G. W. Furnas;T. K. Landauer;L. M. Gomez;S. T. Dumais.
Communications of The ACM (1987)
Improving web search ranking by incorporating user behavior information
Eugene Agichtein;Eric Brill;Susan Dumais.
international acm sigir conference on research and development in information retrieval (2006)
Hierarchical classification of Web content
Susan Dumais;Hao Chen.
international acm sigir conference on research and development in information retrieval (2000)
Stuff I've Seen: A System for Personal Information Retrieval and Re-Use
Susan Dumais;Edward Cutrell;J. J. Cadiz;Gavin Jancke.
international acm sigir conference on research and development in information retrieval (2003)
Profile was last updated on December 6th, 2021.
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