2023 - Research.com Computer Science in Australia Leader Award
His primary areas of investigation include Information retrieval, Query expansion, Relevance, Test and Artificial intelligence. Mark Sanderson combines subjects such as Ambiguity, World Wide Web and Image retrieval with his study of Information retrieval. His work deals with themes such as Concept search and Task, which intersect with Query expansion.
The Relevance study combines topics in areas such as Ranking and Question answering. His Wilcoxon signed-rank test study in the realm of Test connects with subjects such as Sensitivity. His research investigates the link between Artificial intelligence and topics such as Natural language processing that cross with problems in Query language and RDF query language.
His primary scientific interests are in Information retrieval, Artificial intelligence, Natural language processing, World Wide Web and Search engine. His Information retrieval study incorporates themes from Test and Image retrieval. His Artificial intelligence study frequently links to other fields, such as Machine learning.
The concepts of his Natural language processing study are interwoven with issues in Word and Multilingualism. The various areas that Mark Sanderson examines in his Search engine study include Session, The Internet and Information needs. His biological study deals with issues like Ranking, which deal with fields such as Ranking.
Mark Sanderson mainly focuses on Information retrieval, Artificial intelligence, World Wide Web, Natural language processing and Search engine. His study of Question answering is a part of Information retrieval. His Artificial intelligence research includes elements of Machine learning and Relevance.
His studies in Relevance integrate themes in fields like Ranking and Ranking. His Information needs study in the realm of World Wide Web interacts with subjects such as Working group. The study incorporates disciplines such as Convolutional neural network and Information seeking in addition to Natural language processing.
His primary areas of investigation include Information retrieval, Artificial intelligence, World Wide Web, Natural language processing and Key. Mark Sanderson integrates Information retrieval and Graph in his studies. Mark Sanderson focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Machine learning and, in certain cases, Affect and Multimedia.
His work in the fields of Information scent overlaps with other areas such as Mobile search, Seekers and Working group. His Natural language processing research is multidisciplinary, relying on both Feature and Voice search. His research in Test intersects with topics in Session, Metadata and Relevance.
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Deriving concept hierarchies from text
Mark Sanderson;Bruce Croft.
international acm sigir conference on research and development in information retrieval (1999)
Advantages of query biased summaries in information retrieval
Anastasios Tombros;Mark Sanderson.
international acm sigir conference on research and development in information retrieval (1998)
Word sense disambiguation and information retrieval
international acm sigir conference on research and development in information retrieval (1994)
Test Collection Based Evaluation of Information Retrieval Systems
Information retrieval system evaluation: effort, sensitivity, and reliability
Mark Sanderson;Justin Zobel.
international acm sigir conference on research and development in information retrieval (2005)
Analyzing geographic queries
M. Sanderson;J. Kohler.
INQUERY and TREC-7
James Allan;James P. Callan;Mark Sanderson;Jinxi Xu.
text retrieval conference (1998)
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002
James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley.
international acm sigir conference on research and development in information retrieval (2003)
Spatio-textual indexing for geographical search on the web
Subodh Vaid;Christopher B. Jones;Hideo Joho;Mark Sanderson.
symposium on large spatial databases (2005)
The History of Information Retrieval Research
M. Sanderson;W. B. Croft.
Proceedings of the IEEE (2012)
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