What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- World Wide Web
- The Internet
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.
Her most cited work include:
- Indexing by Latent Semantic Analysis (10819 citations)
- A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. (4825 citations)
- Support vector machines (3050 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Information retrieval (46.36%)
- World Wide Web (27.48%)
- Artificial intelligence (21.85%)
What were the highlights of her more recent work (between 2013-2020)?
- World Wide Web (27.48%)
- Information retrieval (46.36%)
- Data science (6.95%)
In recent papers she was focusing on the following fields of study:
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
- Web service that connect with fields like Social network, Desktop search, Online help and Information science,
- Interactivity together with Index and Web page.
Her study looks at the intersection of Search engine and topics like Context with Ranking, Personalization, Semantic search and User modeling.
Her Human–computer interaction research includes themes of Recommender system and Multimedia.
Between 2013 and 2020, her most popular works were:
- Lessons from the journey: a query log analysis of within-session learning (89 citations)
- Struggling or exploring?: disambiguating long search sessions (65 citations)
- Supporting Complex Search Tasks (58 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- World Wide Web
- The Internet
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.
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