Evaluation in Multimedia Recommender Systems: A Practical Guide

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation in Multimedia Recommender Systems: A Practical Guide

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Evaluation in Multimedia Recommender Systems: A Practical Guide

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 12th IEEE International Conference on Semantic Computing

ISBN

9781538644072

ISSN

2325-6516

e-ISSN

—

Počet stran výsledku

4

Strana od-do

294-297

Název nakladatele

IEEE

Místo vydání

California, USA

Místo konání akce

California, USA

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000450112200045