A Generalized Evaluation Framework for Multimedia Recommender
Systems

J 2018

A Generalized Evaluation Framework for Multimedia Recommender Systems

GE, Mouzhi a Fabio PERSIA

Základní údaje

Originální název

A Generalized Evaluation Framework for Multimedia Recommender Systems

Autoři

GE, Mouzhi (156 Čína, garant, domácí) a Fabio PERSIA (380 Itálie)

Vydání

International Journal of Semantic Computing, World Scientific, 2018, 1793-351X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Kód RIV

RIV/00216224:14330/18:00103876

Organizační jednotka

Fakulta informatiky

DOI

http://dx.doi.org/10.1142/S1793351X18500046

UT WoS

000453524500005

EID Scopus

2-s2.0-85058781460

Klíčová slova anglicky

Multimedia recommender system; multimedia recommendation; evaluation framework; evaluation criteria

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 4. 2019 17:24, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

With the widespread availability of media technologies, such as real-time streaming, new Internet-of-Thing devices and smart phones, multimedia data are extensively increased and the big multimedia data rapidly spread over various social networks. This has created complexity and information overload for users to choose the suitable multimedia objects. Thus, different multimedia recommender systems have been emerging to help users find the useful multimedia objects that are possibly preferred by the user. However, the evaluation of these multimedia recommender systems is still in an ad-hoc stage. Given the distinct features of multimedia objects, the evaluation criteria adopted from the general recommender systems might not be effectively used to evaluate multimedia recommendations. In this paper, we therefore review and analyze the evaluation criteria that have been used in the previous multimedia recommender system papers. Based on the review, we propose a generalized evaluation framework to guide the researchers and practitioners to perform evaluations, especially user-centric evaluations, for multimedia recommender systems.

Citovat

GE, Mouzhi a Fabio PERSIA. A Generalized Evaluation Framework for Multimedia Recommender Systems. International Journal of Semantic Computing. World Scientific, 2018, roč. 12, č. 4, s. 541-557. ISSN 1793-351X. Dostupné z: https://dx.doi.org/10.1142/S1793351X18500046.

@article{1443336,
   author = {Ge, Mouzhi and Persia, Fabio},
   article_number = {4},
   doi = {http://dx.doi.org/10.1142/S1793351X18500046},
   keywords = {Multimedia recommender system; multimedia recommendation; evaluation framework; evaluation criteria},
   language = {eng},
   issn = {1793-351X},
   journal = {International Journal of Semantic Computing},
   title = {A Generalized Evaluation Framework for Multimedia Recommender Systems},
   volume = {12},
   year = {2018}
}

TY  - JOUR
ID  - 1443336
AU  - Ge, Mouzhi - Persia, Fabio
PY  - 2018
TI  - A Generalized Evaluation Framework for Multimedia Recommender Systems
JF  - International Journal of Semantic Computing
VL  - 12
IS  - 4
SP  - 541-557
EP  - 541-557
PB  - World Scientific
SN  - 1793351X
KW  - Multimedia recommender system
KW  - multimedia recommendation
KW  - evaluation framework
KW  - evaluation criteria
N2  - With the widespread availability of media technologies, such as real-time streaming, new Internet-of-Thing devices and smart phones, multimedia data are extensively increased and the big multimedia data rapidly spread over various social networks. This has created complexity and information overload for users to choose the suitable multimedia objects. Thus, different multimedia recommender systems have been emerging to help users find the useful multimedia objects that are possibly preferred by the user. However, the evaluation of these multimedia recommender systems is still in an ad-hoc stage. Given the distinct features of multimedia objects, the evaluation criteria adopted from the general recommender systems might not be effectively used to evaluate multimedia recommendations. In this paper, we therefore review and analyze the evaluation criteria that have been used in the previous multimedia recommender system papers. Based on the review, we propose a generalized evaluation framework to guide the researchers and practitioners to perform evaluations, especially user-centric evaluations, for multimedia recommender systems.
ER  -

GE, Mouzhi a Fabio PERSIA. A Generalized Evaluation Framework for Multimedia Recommender Systems. \textit{International Journal of Semantic Computing}. World Scientific, 2018, roč.~12, č.~4, s.~541-557. ISSN~1793-351X. Dostupné z: https://dx.doi.org/10.1142/S1793351X18500046.

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