His primary areas of study are Information retrieval, Data mining, Artificial intelligence, Language model and Ranking. His study brings together the fields of Selection and Information retrieval. The Data mining study combines topics in areas such as Selection, Hierarchical clustering, Cluster analysis, Query expansion and Similarity.
He has researched Artificial intelligence in several fields, including Machine learning, Relevance, Pattern recognition and Natural language processing. His biological study spans a wide range of topics, including Information filtering system, Adaptive filter, Cosine similarity and Redundancy. The concepts of his Ranking study are interwoven with issues in Context, Ranking, Markup language and Collection selection.
His primary scientific interests are in Information retrieval, Artificial intelligence, Data mining, Natural language processing and Ranking. His Information retrieval study frequently links to adjacent areas such as Ranking. His research in Ranking intersects with topics in Embedding and Search engine.
His Artificial intelligence research incorporates themes from Context, Machine learning and Pattern recognition. Jamie Callan works mostly in the field of Data mining, limiting it down to topics relating to Index and, in certain cases, Search engine indexing. His Language model research is multidisciplinary, incorporating perspectives in Data control language, Database and Readability.
Jamie Callan mostly deals with Artificial intelligence, Information retrieval, Natural language processing, Ranking and Context. His Artificial intelligence research is multidisciplinary, relying on both Matching and Ranking, Machine learning, Relevance. His study in Information retrieval is interdisciplinary in nature, drawing from both Social media and Index.
His Index research includes elements of Data mining and Shard. His study in the fields of Natural language user interface under the domain of Natural language processing overlaps with other disciplines such as Metric. He combines subjects such as Probabilistic logic, Theoretical computer science and Relevance feedback with his study of Context.
His main research concerns Artificial intelligence, Natural language processing, Information retrieval, Context and Ranking. His Artificial intelligence study frequently draws connections to adjacent fields such as Matching. His Natural language processing research focuses on subjects like Artificial neural network, which are linked to Word and Natural language.
His is doing research in Query expansion and Search engine, both of which are found in Information retrieval. The study incorporates disciplines such as Inverted index and Relevance in addition to Context. In his research, Selection and Data mining is intimately related to Ranking, which falls under the overarching field of Ranking.
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DISTRIBUTED INFORMATION RETRIEVAL
Jamie Callan.
(2002)
Novelty and redundancy detection in adaptive filtering
Yi Zhang;Jamie Callan;Thomas Minka.
international acm sigir conference on research and development in information retrieval (2002)
Query-based sampling of text databases
Jamie Callan;Margaret Connell.
ACM Transactions on Information Systems (2001)
Combining document representations for known-item search
Paul Ogilvie;Jamie Callan.
international acm sigir conference on research and development in information retrieval (2003)
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Chenyan Xiong;Zhuyun Dai;Jamie Callan;Zhiyuan Liu.
international acm sigir conference on research and development in information retrieval (2017)
Relevant document distribution estimation method for resource selection
Luo Si;Jamie Callan.
international acm sigir conference on research and development in information retrieval (2003)
A statistical model for scientific readability
Luo Si;Jamie Callan.
conference on information and knowledge management (2001)
Content-based retrieval in hybrid peer-to-peer networks
Jie Lu;Jamie Callan.
conference on information and knowledge management (2003)
Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
Michael Heilman;Kevyn Collins-Thompson;Jamie Callan;Maxine Eskenazi.
north american chapter of the association for computational linguistics (2007)
Effective retrieval with distributed collections
Jinxi Xu;Jamie Callan.
international acm sigir conference on research and development in information retrieval (1998)
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