Evaluation in Multimedia Recommender Systems: A Practical Guide
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00102282" target="_blank" >RIV/00216224:14330/18:00102282 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSC.2018.00050" target="_blank" >http://dx.doi.org/10.1109/ICSC.2018.00050</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSC.2018.00050" target="_blank" >10.1109/ICSC.2018.00050</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation in Multimedia Recommender Systems: A Practical Guide
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th IEEE International Conference on Semantic Computing
ISBN
9781538644072
ISSN
2325-6516
e-ISSN
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Number of pages
4
Pages from-to
294-297
Publisher name
IEEE
Place of publication
California, USA
Event location
California, USA
Event date
Jan 1, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000450112200045