What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- The Internet
The scientist’s investigation covers issues in Recommender system, Human–computer interaction, Knowledge management, Decision support system and Preference elicitation.
Many of her studies on Recommender system apply to Personality as well.
Her studies in Human–computer interaction integrate themes in fields like World Wide Web and Product.
Her Knowledge management research incorporates elements of User experience design, Cognitive effort and Internet privacy.
Her biological study deals with issues like Consistency, which deal with fields such as Quality and Usability.
Her work carried out in the field of Decision support system brings together such families of science as Range, Outcome and Order.
Her most cited work include:
- A user-centric evaluation framework for recommender systems (431 citations)
- Trust building with explanation interfaces (211 citations)
- Evaluating recommender systems from the user's perspective: survey of the state of the art (191 citations)
What are the main themes of her work throughout her whole career to date?
Pearl Pu spends much of her time researching Recommender system, Human–computer interaction, World Wide Web, Artificial intelligence and Knowledge management.
In her works, she conducts interdisciplinary research on Recommender system and Preference elicitation.
Her work deals with themes such as E-commerce, Decision support system, Dialog box and Set, which intersect with Human–computer interaction.
Her work in World Wide Web is not limited to one particular discipline; it also encompasses User modeling.
Her Artificial intelligence research is multidisciplinary, relying on both Machine learning, Computer vision and Natural language processing.
Many of her studies involve connections with topics such as Quality and Usability.
She most often published in these fields:
- Recommender system (30.11%)
- Human–computer interaction (30.11%)
- World Wide Web (18.82%)
What were the highlights of her more recent work (between 2014-2021)?
- Behavior change (3.23%)
- Human–computer interaction (30.11%)
- Artificial intelligence (15.59%)
In recent papers she was focusing on the following fields of study:
Pearl Pu focuses on Behavior change, Human–computer interaction, Artificial intelligence, Applied psychology and Dialog box.
Pearl Pu integrates Human–computer interaction with Constructive in her research.
The concepts of her Artificial intelligence study are interwoven with issues in Machine learning and Natural language processing.
Her study in Dialog box is interdisciplinary in nature, drawing from both Quality and Natural language.
Her Natural language research includes elements of Surprise and World Wide Web.
Her Set research incorporates elements of Structure and Eye movement.
Between 2014 and 2021, her most popular works were:
- Trust Building in Recommender Agents (46 citations)
- Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets (10 citations)
- Exploring physical activity monitoring devices for diabetic and obese patients (10 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
Pearl Pu mainly focuses on Internet privacy, Gerontology, Strong ties, Behavior change and Competition.
Her research integrates issues of Multimedia and Competence in her study of Internet privacy.
Her Physical exercise research extends to the thematically linked field of Gerontology.
Her Strong ties research includes elements of Social relationship, Baseline, Social psychology, Work and Online community.
Many of her studies on Behavior change involve topics that are commonly interrelated, such as Set.
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