Information Retrieval Technology [electronic resource] : 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.
2016
Z667
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Title
Information Retrieval Technology [electronic resource] : 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.
ISBN
9783319480510 (electronic book)
3319480510 (electronic book)
9783319480503
3319480510 (electronic book)
9783319480503
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (XIII, 372 p.) : il.
Item Number
10.1007/978-3-319-48051-0 doi
Call Number
Z667
Dewey Decimal Classification
025.04
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.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Ma, Shaoping, editor.
Wen, Ji-Rong, editor.
Liu, Yiqun, editor.
Dou, Zhicheng, editor.
Zhang, Min, editor.
Chang, Yi, editor.
Zhao, Xin, editor.
Wen, Ji-Rong, editor.
Liu, Yiqun, editor.
Dou, Zhicheng, editor.
Zhang, Min, editor.
Chang, Yi, editor.
Zhao, Xin, editor.
Series
Lecture notes in computer science ; 9994.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Print version: 9783319480503
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Table of Contents
IR models and theories
Machine learning and data mining for IR
IR applications and user modeling
Personalization and recommendation
IR evaluation.
Machine learning and data mining for IR
IR applications and user modeling
Personalization and recommendation
IR evaluation.