Evaluation in Multimedia Recommender Systems: A Practical Guide

D 2018

Evaluation in Multimedia Recommender Systems: A Practical Guide

GE, Mouzhi and Fabio PERSIA

Basic information

Original name

Evaluation in Multimedia Recommender Systems: A Practical Guide

Name in Czech

Evaluation in Multimedia Recommender Systems: A Practical Guide

Authors

GE, Mouzhi (156 China, guarantor, belonging to the institution) and Fabio PERSIA (380 Italy)

Edition

California, USA, Proceedings of the 12th IEEE International Conference on Semantic Computing, p. 294-297, 4 pp. 2018

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/18:00102282

Organization unit

Faculty of Informatics

ISBN

978-1-5386-4407-2

ISSN

DOI

http://dx.doi.org/10.1109/ICSC.2018.00050

UT WoS

000450112200045

Keywords in English

Multimedia Recommender Systems; Evaluation Criteria; Media Technologies

Abstract

V originále

With the widespread availability of media technologies, such as real-time streaming, new IoT devices and smartphones, multimedia data are extensively increased and the big multimedia data are rapidly spreaded over various social networks. Thus, different multimedia recommender systems have been emerging to help users select the useful multimedia objects. However, due to distinct features of multimedia objects, it is difficult to conduct a proper evaluation for the multimedia recommender systems, and the evaluation from the general recommender systems might not be totally adopted to evaluate them. In this paper, we therefore review and analyze the evaluation criteria that are used in the previous multimedia recommender system papers. Based on the review, we propose a set of the practical advices to lead practitioners and researchers to perform evaluations for multimedia recommender systems.

Citovat

GE, Mouzhi and Fabio PERSIA. Evaluation in Multimedia Recommender Systems: A Practical Guide. In Proceedings of the 12th IEEE International Conference on Semantic Computing. California, USA: IEEE, 2018, p. 294-297. ISBN 978-1-5386-4407-2. Available from: https://dx.doi.org/10.1109/ICSC.2018.00050.

@inproceedings{1407118,
   author = {Ge, Mouzhi and Persia, Fabio},
   address = {California, USA},
   booktitle = {Proceedings of the 12th IEEE International Conference on Semantic Computing},
   doi = {http://dx.doi.org/10.1109/ICSC.2018.00050},
   keywords = {Multimedia Recommender Systems; Evaluation Criteria; Media Technologies},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {California, USA},
   isbn = {978-1-5386-4407-2},
   pages = {294-297},
   publisher = {IEEE},
   title = {Evaluation in Multimedia Recommender Systems: A Practical Guide},
   year = {2018}
}

TY  - JOUR
ID  - 1407118
AU  - Ge, Mouzhi - Persia, Fabio
PY  - 2018
TI  - Evaluation in Multimedia Recommender Systems: A Practical Guide
PB  - IEEE
CY  - California, USA
SN  - 9781538644072
KW  - Multimedia Recommender Systems
KW  - Evaluation Criteria
KW  - Media Technologies
N2  - With the widespread availability of media technologies, such as real-time streaming, new IoT devices and smartphones, multimedia data are extensively increased and the big multimedia data are rapidly spreaded over various social networks. Thus, different multimedia recommender systems have been emerging to help users select the useful multimedia objects. However, due to distinct features of multimedia objects, it is difficult to conduct a proper evaluation for the multimedia recommender systems, and the evaluation from the general recommender systems might not be totally adopted to evaluate them. In this paper, we therefore review and analyze the evaluation criteria that are used in the previous multimedia recommender system papers. Based on the review, we propose a set of the practical advices to lead practitioners and researchers to perform evaluations for multimedia recommender systems.
ER  -

GE, Mouzhi and Fabio PERSIA. Evaluation in Multimedia Recommender Systems: A Practical Guide. In \textit{Proceedings of the 12th IEEE International Conference on Semantic Computing}. California, USA: IEEE, 2018, p.~294-297. ISBN~978-1-5386-4407-2. Available from: https://dx.doi.org/10.1109/ICSC.2018.00050.

Detailed Information on Publication Record