Recommender systems leveraging multimedia content

Y Deldjoo, M Schedl, P Cremonesi, G Pasi - ACM Computing Surveys …, 2020 - dl.acm.org
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

RETRACTED: Evolution from ancient medication to human‐centered Healthcare 4.0: A review on health care recommender systems

D Sharma, G Singh Aujla, R Bajaj - International Journal of …, 2023 - Wiley Online Library
The evolution of intelligent and data‐driven systems has pushed for the tectonic transition
from ancient medication to human‐centric Healthcare 4.0. The rise of Internet of Things …

Multimedia recommender systems: Algorithms and challenges

Y Deldjoo, M Schedl, B Hidasi, Y Wei, X He - Recommender systems …, 2021 - Springer
This chapter studies state-of-the-art research related to multimedia recommender systems
(MMRS), focusing on methods that integrate multimedia content as side information to …

Routing micro-videos via a temporal graph-guided recommendation system

Y Li, M Liu, J Yin, C Cui, XS Xu, L Nie - Proceedings of the 27th ACM …, 2019 - dl.acm.org
In the past few years, micro-videos have become the dominant trend in the social media era.
Meanwhile, as the number of microvideos increases, users are frequently overwhelmed by …

Learning and fusing multiple user interest representations for micro-video and movie recommendations

X Chen, D Liu, Z **ong, ZJ Zha - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning is known to be effective at automating the generation of representations,
which eliminates the need for handcrafted features. For the task of personalized …

Temporal hierarchical attention at category-and item-level for micro-video click-through prediction

X Chen, D Liu, ZJ Zha, W Zhou, Z **ong… - Proceedings of the 26th …, 2018 - dl.acm.org
Micro-video sharing gains great popularity in recent years, which calls for effective
recommendation algorithm to help user find their interested micro-videos. Compared with …

What videos are similar with you? learning a common attributed representation for video recommendation

P Cui, Z Wang, Z Su - Proceedings of the 22nd ACM international …, 2014 - dl.acm.org
Although video recommender systems have become the predominant way for people to
obtain video information, their performances are far from satisfactory in that (1) the …

A unified personalized video recommendation via dynamic recurrent neural networks

J Gao, T Zhang, C Xu - Proceedings of the 25th ACM international …, 2017 - dl.acm.org
Personalized video recommender systems play an essential role in bridging users and
videos. However, most existing video recommendation methods assume that user profiles …

Flexible learning with semantic visual exploration and sequence-based recommendation of MOOC videos

J Zhao, C Bhatt, M Cooper, DA Shamma - Proceedings of the 2018 CHI …, 2018 - dl.acm.org
Massive Open Online Course (MOOC) platforms have scaled online education to
unprecedented enrollments, but remain limited by their rigid, predetermined curricula. To …

An overview of video recommender systems: state-of-the-art and research issues

S Lubos, A Felfernig, M Tautschnig - Frontiers in big Data, 2023 - frontiersin.org
Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …