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Recommender systems leveraging multimedia content
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 …
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 …
from ancient medication to human‐centric Healthcare 4.0. The rise of Internet of Things …
Multimedia recommender systems: Algorithms and challenges
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 …
(MMRS), focusing on methods that integrate multimedia content as side information to …
Routing micro-videos via a temporal graph-guided recommendation system
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 …
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
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 …
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
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 …
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 …
obtain video information, their performances are far from satisfactory in that (1) the …
A unified personalized video recommendation via dynamic recurrent neural networks
Personalized video recommender systems play an essential role in bridging users and
videos. However, most existing video recommendation methods assume that user profiles …
videos. However, most existing video recommendation methods assume that user profiles …
Flexible learning with semantic visual exploration and sequence-based recommendation of MOOC videos
Massive Open Online Course (MOOC) platforms have scaled online education to
unprecedented enrollments, but remain limited by their rigid, predetermined curricula. 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
Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …
applications, serving various purposes in entertainment, e-learning, corporate training …