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|a 9783030722401
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|a Hiemstra, Djoerd
|e [editor]
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|a Advances in Information Retrieval
|h Elektronische Ressource
|b 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part II
|c edited by Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani
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|a 1st ed. 2021
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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300 |
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|a XXXIII, 738 p. 144 illus., 114 illus. in color
|b online resource
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|a Information retrieval -- Document representation -- Interactive information retrieval -- Web search engines -- Evaluation of retrieval results -- Multimedia and multimodal information retrieval -- Query processing -- Document ranking -- Recommendation -- Filtering -- Domain-specific search -- Enterprise search -- Artificial intelligence and machine learning for search and retrieval -- Conversational agents
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653 |
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|a Education / Data processing
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|a Computer science
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|a Computer Application in Social and Behavioral Sciences
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653 |
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|a Information Storage and Retrieval
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|a Social sciences / Data processing
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|a Computers and Education
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|a Information storage and retrieval systems
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|a Natural Language Processing (NLP)
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|a Theory of Computation
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|a Special Purpose and Application-Based Systems
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|a Computers, Special purpose
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|a Natural language processing (Computer science)
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1 |
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|a Moens, Marie-Francine
|e [editor]
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1 |
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|a Mothe, Josiane
|e [editor]
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1 |
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|a Perego, Raffaele
|e [editor]
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7 |
|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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|a 10.1007/978-3-030-72240-1
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|u https://doi.org/10.1007/978-3-030-72240-1?nosfx=y
|x Verlag
|3 Volltext
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|a 025.04
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|a This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic. The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more
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