Research Challenges in Multimedia Recommender Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096405" target="_blank" >RIV/00216224:14330/17:00096405 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICSC.2017.31" target="_blank" >http://dx.doi.org/10.1109/ICSC.2017.31</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICSC.2017.31" target="_blank" >10.1109/ICSC.2017.31</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Research Challenges in Multimedia Recommender Systems

Popis výsledku v původním jazyce

Nowadays, since multimedia information has been extensively growing from a variety of sources, such photos from social networks, unstructured text from different websites, or raw video feed from digital sensors, 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, it is still challenging to provide effective recommendations, and research so far could only address limited aspects. Therefore, in this paper 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 to explain which aspects are worth further investigation.

Název v anglickém jazyce

Research Challenges in Multimedia Recommender Systems

Popis výsledku anglicky

Nowadays, since multimedia information has been extensively growing from a variety of sources, such photos from social networks, unstructured text from different websites, or raw video feed from digital sensors, 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, it is still challenging to provide effective recommendations, and research so far could only address limited aspects. Therefore, in this paper 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 to explain which aspects are worth further investigation.

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

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the IEEE International Conference on Semantic Computing

ISBN

9781509048960

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

344-347

Název nakladatele

IEEE

Místo vydání

San Diego, USA

Místo konání akce

San Diego, USA

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000403391300065