What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Information retrieval
- Machine learning
James Allan focuses on Information retrieval, Artificial intelligence, Natural language processing, Relevance and World Wide Web.
His work on Information retrieval is being expanded to include thematically relevant topics such as Relevance feedback.
His Artificial intelligence research is multidisciplinary, relying on both Test, Machine learning, Computer vision and Pattern recognition.
His research in the fields of Language model overlaps with other disciplines such as Process, Software research and Scale.
His Human–computer information retrieval study in the realm of Relevance connects with subjects such as Point.
His work is dedicated to discovering how World Wide Web, User modeling are connected with Metasearch engine and other disciplines.
His most cited work include:
- Topic Detection and Tracking Pilot Study Final Report (851 citations)
- On-line new event detection and tracking (661 citations)
- Topic detection and tracking: event-based information organization (613 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Information retrieval, Artificial intelligence, Natural language processing, Relevance and Query expansion.
His Information retrieval research is multidisciplinary, incorporating elements of World Wide Web and Relevance feedback.
His Artificial intelligence research integrates issues from Ranking and Machine learning.
His study on Sentence and Automatic summarization is often connected to Process as part of broader study in Natural language processing.
His Context research extends to the thematically linked field of Relevance.
His Query expansion research incorporates themes from Web search query and Data mining, Query optimization.
He most often published in these fields:
- Information retrieval (61.26%)
- Artificial intelligence (36.42%)
- Natural language processing (24.83%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (36.42%)
- Information retrieval (61.26%)
- Natural language processing (24.83%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Information retrieval, Natural language processing, Relevance and Ranking.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Ranking and Machine learning.
Information retrieval and Relevance feedback are frequently intertwined in his study.
His Natural language processing research includes themes of Matching, Semantic matching and Translation.
The various areas that James Allan examines in his Relevance study include User experience design, Contrast and Data mining.
James Allan has included themes like Leverage, Document retrieval, Data science, Social media and Focus in his Ranking study.
Between 2015 and 2021, his most popular works were:
- Probabilistic Approaches to Controversy Detection (34 citations)
- TREC 2017 Common Core Track Overview. (22 citations)
- Improving Automated Controversy Detection on the Web (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
His scientific interests lie mostly in Information retrieval, Artificial intelligence, Relevance, Machine learning and Natural language processing.
His work carried out in the field of Information retrieval brings together such families of science as Language model and Test.
His work in the fields of Machine translation overlaps with other areas such as Set expansion.
His Relevance research also works with subjects such as
- Contrast that intertwine with fields like Context,
- Cognitive psychology together with Perception, Credibility, Salient and World Wide Web.
His studies deal with areas such as User modeling and Key as well as Machine learning.
His studies in Natural language processing integrate themes in fields like Matching, Paragraph, Aggregate and Web content.
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