A Survey of Multimedia Recommender Systems: Challenges and Opportunities

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Survey of Multimedia Recommender Systems: Challenges and Opportunities

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Survey of Multimedia Recommender Systems: Challenges and Opportunities

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

International Journal of Semantic Computing

ISSN

1793-351X

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

411-428

Kód UT WoS článku

000412119100009

EID výsledku v databázi Scopus

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