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Information Retrieval Technology : 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings / edited by Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Xin Zhao.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Ma, Shaoping, Editor.
Wen, Jirong, Editor.
Liu, Yiqun, Editor.
Dou, Zhicheng, Editor.
Zhang, Min, Editor.
Chang, Yi, Editor.
Zhao, Xin, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9994
Information Systems and Applications, incl. Internet/Web, and HCI ; 9994
Language:
English
Subjects (All):
Information storage and retrieval systems.
Database management.
Application software.
Artificial intelligence.
Data mining.
Algorithms.
Information Storage and Retrieval.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Local Subjects:
Information Storage and Retrieval.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Algorithms.
Physical Description:
1 online resource (XIII, 372 pages) : 61 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016. The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions. The final programme of AIRS 2015 is divided in the following tracks: IR models and theories; machine learning and data mining for IR; IR applications and user modeling; personalization and recommendation; and IR evaluation.
Contents:
IR models and theories
Machine learning and data mining for IR
IR applications and user modeling
Personalization and recommendation
IR evaluation.
Other Format:
Printed edition:
ISBN:
978-3-319-48051-0
9783319480510
Access Restriction:
Restricted for use by site license.

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