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Information Retrieval Technology: Lecture Notes in Computer Science, cartea 9460

Editat de Guido Zuccon, Shlomo Geva, Hideo Joho, Falk Scholer, Aixin Sun, Peng Zhang
en Limba Engleză Paperback – 22 ian 2016
This book constitutes the refereed proceedings of the11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane,QLD, Australia, in December 2015.
The 29 full papers presented together with 11 short anddemonstration papers, and the abstracts of 2 keynote lectures were carefullyreviewed and selected from 92 submissions. The final programme of AIRS 2015 isdivided in 10 tracks: Efficiency, Graphs, Knowledge Bases and Taxonomies,Recommendation, Twitter and Social Media, Web Search, Text Processing,Understanding and Categorization, Topics and Models, Clustering, Evaluation,and Social Media and Recommendation.
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Specificații

ISBN-13: 9783319289397
ISBN-10: 331928939X
Pagini: 472
Ilustrații: XVIII, 454 p. 84 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.71 kg
Ediția:1st edition 2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Keynotes.- Efficiency.- Graphs, Knowledge Bases and Taxonomies.- Recommendations.- Twitter and Social Media.- Web Search.- Text Processing, Understanding and Categorization.- Topics and Models.- Clustering.- Evaluation.- Social Media and Recommendation.- Short Papers.- Demonstrations.

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane,QLD, Australia, in December 2015.
The 29 full papers presented together with 11 short anddemonstration papers, and the abstracts of 2 keynote lectures were carefullyreviewed and selected from 92 submissions. The final programme of AIRS 2015 isdivided in 10 tracks: Efficiency, Graphs, Knowledge Bases and Taxonomies,Recommendation, Twitter and Social Media, Web Search, Text Processing,Understanding and Categorization, Topics and Models, Clustering, Evaluation,and Social Media and Recommendation.

Caracteristici

Includes supplementary material: sn.pub/extras