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@article{1381909,
author = {Ge, Mouzhi and Persia, Fabio},
article_number = {3},
doi = {http://dx.doi.org/10.1142/S1793351X17500039},
keywords = {Multimedia recommender system; multimedia objects; research challenges; multimedia recommendations},
language = {eng},
issn = {1793-351X},
journal = {International Journal of Semantic Computing},
title = {A Survey of Multimedia Recommender Systems: Challenges and Opportunities},
url = {https://www.worldscientific.com/doi/abs/10.1142/S1793351X17500039},
volume = {11},
year = {2017}
}
TY - JOUR
ID - 1381909
AU - Ge, Mouzhi - Persia, Fabio
PY - 2017
TI - A Survey of Multimedia Recommender Systems: Challenges and Opportunities
JF - International Journal of Semantic Computing
VL - 11
IS - 3
SP - 411-428
EP - 411-428
PB - World Scientific Publishing
SN - 1793351X
KW - Multimedia recommender system
KW - multimedia objects
KW - research challenges
KW - multimedia recommendations
UR - https://www.worldscientific.com/doi/abs/10.1142/S1793351X17500039
N2 - Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research.
ER -
GE, Mouzhi a Fabio PERSIA. A Survey of Multimedia Recommender Systems: Challenges and Opportunities. \textit{International Journal of Semantic Computing}. World Scientific Publishing, 2017, roč.~11, č.~3, s.~411-428. ISSN~1793-351X. Dostupné z: https://dx.doi.org/10.1142/S1793351X17500039.
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