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Collaborative Information Seeking : Best Practices, New Domains and New Thoughts / / edited by Preben Hansen, Chirag Shah, Claus-Peter Klas
Collaborative Information Seeking : Best Practices, New Domains and New Thoughts / / edited by Preben Hansen, Chirag Shah, Claus-Peter Klas
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica XVIII, 226 s : ill
Disciplina 025.04
Collana Computer Supported Cooperative Work
Soggetto topico Computer system failures
Computers
Social sciences
Artificial intelligence
System Performance and Evaluation
Information Systems and Communication Service
Methodology of the Social Sciences
Artificial Intelligence
ISBN 9783319189888
3319189883
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Editorial -- Part I: Best Practices and Studies -- Collaborative Information Seeking - From ‘What?’ and ‘Why?’ to ‘How?’ and ‘So What?’ -- Studying Collaborative Information Seeking: Experiences with Three Methods -- Situating CIS - The Importance of Context in Collaborative Information Seeking -- Procedures and Collaborative Information Seeking: A Study of Emergency Departments -- Collaborative Information Seeking in the Context of Leisure and Work Task Situations -- Part II: New Domains -- Learning through Collaborative Information Seeking -- A Proposed CIS Interface Based on the Analysis of Problem-Solving in Online Technical Support -- Collaborative Information Use with Technology -- Part III: New Thoughts -- A Probability Ranking Principle for Collaborative Search -- Affective Dimension in Collaborative Information Seeking -- Collaborative Information Seeking Around Big Data.
Record Nr. UNINA-9910299201103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information Access in the Era of Generative AI / / edited by Ryen W. White, Chirag Shah
Information Access in the Era of Generative AI / / edited by Ryen W. White, Chirag Shah
Autore White Ryen W
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (250 pages)
Disciplina 025.04
Altri autori (Persone) ShahChirag
Collana The Information Retrieval Series
Soggetto topico Information storage and retrieval systems
Artificial intelligence
Application software
Information Storage and Retrieval
Artificial Intelligence
Computer and Information Systems Applications
ISBN 9783031731471
9783031731464
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Foundations of Generative IR -- 3. Interactions With Generative IR Systems -- 4. Adapting Generative IR Systems to Users, Tasks, and Scenarios -- 5. Improving Generative IR Systems Based on User Feedback -- 6. Generative IR Evaluation -- 7. Sociotechnical Implications of Generative AI for Information Access -- 8. Recommendation in the Era of Generative AI -- 9. Designing for the Future of Information Access with Generative IR.
Record Nr. UNINA-9910983304503321
White Ryen W  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to R
Introduction to R
Pubbl/distr/stampa Somerset : , : Chirag Shah, , 2018
Descrizione fisica 1 online resource (1 video file (00:26:23)) : sound, colour
Disciplina 519.502855133
Collana Introduction to Data Science with R
Soggetto topico R (Computer program language)
ISBN 1-5264-6645-7
Formato Videoregistrazioni
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910980037203321
Somerset : , : Chirag Shah, , 2018
Videoregistrazioni
Lo trovi qui: Univ. Federico II
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SIGIR '21 : proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, Virtual Event, Canada / / Fernando Diaz, Chirag Shah, Torsten Suel
SIGIR '21 : proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, Virtual Event, Canada / / Fernando Diaz, Chirag Shah, Torsten Suel
Autore Diaz Fernando
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2021
Descrizione fisica 1 online resource : illustrations
Disciplina 005.74
Soggetto topico Database management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510492703321
Diaz Fernando  
New York, NY : , : Association for Computing Machinery, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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