What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Information retrieval
- Machine learning
Diane Kelly mainly investigates Information retrieval, Relevance feedback, Query expansion, Information needs and Question answering.
Her work in the fields of Information retrieval, such as Human–computer information retrieval, overlaps with other areas such as Reading.
Combining a variety of fields, including Relevance feedback, Term and Relevance, are what the author presents in her essays.
Her Query expansion research integrates issues from Query language and Web query classification.
Diane Kelly has researched Information needs in several fields, including Profiling and Bibliography.
When carried out as part of a general Question answering research project, her work on Factoid is frequently linked to work in Set and Track, therefore connecting diverse disciplines of study.
Her most cited work include:
- Implicit feedback for inferring user preference: a bibliography (688 citations)
- Methods for Evaluating Interactive Information Retrieval Systems with Users (346 citations)
- Display time as implicit feedback: understanding task effects (225 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Information retrieval, Human–computer interaction, World Wide Web, Question answering and Relevance.
In the field of Information retrieval, her study on Query expansion, Web query classification and Ranking overlaps with subjects such as Relevance feedback.
Her work deals with themes such as Query language and Query optimization, which intersect with Web query classification.
Her studies deal with areas such as Naturalistic observation and Multimedia as well as Human–computer interaction.
Her study looks at the relationship between World Wide Web and topics such as Information seeking, which overlap with Data science and Human–computer information retrieval.
Her Information needs research is multidisciplinary, incorporating elements of Cognitive models of information retrieval and Factoid.
She most often published in these fields:
- Information retrieval (46.51%)
- Human–computer interaction (14.73%)
- World Wide Web (14.73%)
What were the highlights of her more recent work (between 2014-2019)?
- Information retrieval (46.51%)
- Multimedia (9.30%)
- World Wide Web (14.73%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Information retrieval, Multimedia, World Wide Web, Session and Human–computer interaction.
Her Information retrieval study frequently draws connections between adjacent fields such as Pattern recognition.
Her biological study spans a wide range of topics, including Usability, Cognitive test and Visual memory.
Diane Kelly has included themes like User experience design, Situated and Field in her World Wide Web study.
Her research investigates the connection with Human–computer interaction and areas like Set which intersect with concerns in Query formulation.
Her Information access research integrates issues from Question answering and Personalization.
Between 2014 and 2019, her most popular works were:
- Development and Evaluation of Search Tasks for IIR Experiments using a Cognitive Complexity Framework (91 citations)
- How many results per page?: A Study of SERP Size, Search Behavior and User Experience (33 citations)
- Impacts of Time Constraints and System Delays on User Experience (26 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Information retrieval
- Machine learning
The scientist’s investigation covers issues in User experience design, Simulation, Laboratory experiment, Information retrieval and Time pressure.
Her User experience design research incorporates elements of Machine learning, World Wide Web and Artificial intelligence.
She has researched World Wide Web in several fields, including Salient, Novelty and Relevance.
Many of her studies on Information retrieval apply to Personalization as well.
Her biological study deals with issues like Human–computer interaction, which deal with fields such as Cognitive complexity and Task.
The concepts of her Search engine study are interwoven with issues in Interface design and Database.
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