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Record Nr. |
UNINA9910484982403321 |
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Titolo |
Advances in Information Retrieval : 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part II / / edited by Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (760 pages) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 12657 |
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Disciplina |
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Soggetti |
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Information storage and retrieval systems |
Computers, Special purpose |
Computer science |
Social sciences - Data processing |
Education - Data processing |
Natural language processing (Computer science) |
Information Storage and Retrieval |
Special Purpose and Application-Based Systems |
Theory of Computation |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
Natural Language Processing (NLP) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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and machine learning for search and retrieval -- Conversational agents. |
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Sommario/riassunto |
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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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