Advances in Information Retrieval : 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part I / / edited by Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (xxxiii, 738 pages)
• Disciplina: 025.04; 025.0425
• Soggetto topico: Information storage and retrieval systems; Machine theory; Education - Data processing; Machine learning; Natural language processing (Computer science); User interfaces (Computer systems); Human-computer interaction; Information Storage and Retrieval; Formal Languages and Automata Theory; Computers and Education; Machine Learning; Natural Language Processing (NLP); User Interfaces and Human Computer Interaction; Recuperació de la informació
• Soggetto genere / forma: Congressos; Llibres electrònics
• Persona (resp. second.): HiemstraDjoerd
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Information Retrieval
• ISBN: 3-030-72113-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910485030603321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI, . 2946-1642 ; ; 12656