A Survey of Multimedia Recommender Systems: Challenges and Opportunities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096837" target="_blank" >RIV/00216224:14330/17:00096837 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1142/S1793351X17500039" target="_blank" >http://dx.doi.org/10.1142/S1793351X17500039</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S1793351X17500039" target="_blank" >10.1142/S1793351X17500039</a>
Alternative languages
Result language
angličtina
Original language name
A Survey of Multimedia Recommender Systems: Challenges and Opportunities
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Semantic Computing
ISSN
1793-351X
e-ISSN
—
Volume of the periodical
11
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
411-428
UT code for WoS article
000412119100009
EID of the result in the Scopus database
—