2014 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For outstanding contributions to information retrieval and the development of search engines
His primary areas of study are Information retrieval, Artificial intelligence, Natural language processing, Language model and Query expansion. His study involves Document retrieval, Human–computer information retrieval, Relevance, Vector space model and Concept search, a branch of Information retrieval. W. Bruce Croft has included themes like Ranking and Machine learning in his Artificial intelligence study.
The concepts of his Natural language processing study are interwoven with issues in RDF query language, Ambiguity and Thesaurus. His Language model research focuses on Topic model and how it connects with Generative model. His research integrates issues of Query language, Sentence and Markov chain in his study of Query expansion.
W. Bruce Croft focuses on Information retrieval, Artificial intelligence, Natural language processing, Relevance and Query expansion. In his study, World Wide Web is inextricably linked to Language model, which falls within the broad field of Information retrieval. His Artificial intelligence research includes themes of Ranking, Machine learning and Matching.
He has researched Natural language processing in several fields, including Word and Identification. His work in Query expansion addresses issues such as Web query classification, which are connected to fields such as Sargable. His Document retrieval research also works with subjects such as
Information retrieval, Artificial intelligence, Question answering, Ranking and Machine learning are his primary areas of study. His Transformer research extends to the thematically linked field of Information retrieval. In his study, SIGNAL is strongly linked to Natural language processing, which falls under the umbrella field of Artificial intelligence.
His research in the fields of Factoid overlaps with other disciplines such as Set. His research investigates the link between Ranking and topics such as Word embedding that cross with problems in Representation. W. Bruce Croft interconnects Semantic matching and Set in the investigation of issues within Machine learning.
His main research concerns Artificial intelligence, Ranking, Information retrieval, Machine learning and Question answering. His Artificial intelligence study combines topics from a wide range of disciplines, such as Relevance and Natural language processing. In his research, Word2vec, Query expansion, Semantic similarity, Web query classification and Ranking SVM is intimately related to Word embedding, which falls under the overarching field of Ranking.
The Text retrieval research W. Bruce Croft does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Product, therefore creating a link between diverse domains of science. His work deals with themes such as Inverted index, Sparse approximation and Semantic matching, which intersect with Machine learning. His Factoid study in the realm of Question answering interacts with subjects such as Set.
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A language modeling approach to information retrieval
Jay M. Ponte;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (1998)
Information filtering and information retrieval: two sides of the same coin?
Nicholas J. Belkin;W. Bruce Croft.
Communications of The ACM (1992)
Quary Expansion Using Local and Global Document Analysis
Jinxi Xu;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (1996)
Relevance-Based Language Models
Victor Lavrenko;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (2001)
LDA-based document models for ad-hoc retrieval
Xing Wei;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (2006)
A Markov random field model for term dependencies
Donald Metzler;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (2005)
Searching distributed collections with inference networks
James P. Callan;Zhihong Lu;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (1995)
Evaluation of an inference network-based retrieval model
Howard Turtle;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (1991)
The INQUERY Retrieval System
James P. Callan;W. Bruce Croft;Stephen M. Harding.
database and expert systems applications (1992)
Inference Networks for Document Retrieval
Howard Turtle;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (1989)
Profile was last updated on December 6th, 2021.
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