EDMF: Efficient deep matrix factorization with review feature learning for industrial recommender system
Recommendation accuracy is a fundamental problem in the quality of the recommendation
system. In this article, we propose an efficient deep matrix factorization (EDMF) with review …
system. In this article, we propose an efficient deep matrix factorization (EDMF) with review …
Multi-perspective social recommendation method with graph representation learning
Social recommender systems (SRS) aim to study how social relations influence users'
choices and how to use them for better learning users embeddings. However, the diversity of …
choices and how to use them for better learning users embeddings. However, the diversity of …
Overview of behavior recognition based on deep learning
K Hu, J **, F Zheng, L Weng, Y Ding - Artificial intelligence review, 2023 - Springer
Human behavior recognition has always been a hot spot for research in computer vision.
With the wide application of behavior recognition in virtual reality and short video in recent …
With the wide application of behavior recognition in virtual reality and short video in recent …
Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …
and human-computer interaction. Many researchers have developed classification models …
Masked-face recognition using deep metric learning and FaceMaskNet-21
R Golwalkar, N Mehendale - Applied Intelligence, 2022 - Springer
Abstract The coronavirus disease 2019 (COVID-19) has made it mandatory for people all
over the world to wear facial masks to prevent the spread of the virus. The conventional face …
over the world to wear facial masks to prevent the spread of the virus. The conventional face …
A Review of AI techniques using MRI Brain Images for Alzheimer's disease detection
The development of an efficient medical image processing technique to detect Alzheimer's
disease in the early stages will be an important medical method practitioners. Image …
disease in the early stages will be an important medical method practitioners. Image …
GMDL: Toward precise head pose estimation via Gaussian mixed distribution learning for students' attention understanding
Students' head pose estimation is a very difficult task since the training data is insufficient for
many head pose angles. In this study, we consider each head pose image as a Gaussian …
many head pose angles. In this study, we consider each head pose image as a Gaussian …
Providing recommendations for communities of learners in MOOCs ecosystems
Abstract Massive Open Online Courses (MOOCs) have been widely disseminated due to the
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …
PTKE: Translation-based temporal knowledge graph embedding in polar coordinate system
R Liu, G Yin, Z Liu, L Zhang - Neurocomputing, 2023 - Elsevier
Abstract Knowledge graph embedding has received widespread attention in recent years.
Most existing models represent time-independent facts as low dimensional embeddings …
Most existing models represent time-independent facts as low dimensional embeddings …
A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing
The rapid development and widespread applications of cognitive computing technologies
have led to a paradigm shift towards cognitive intelligent development in manufacturing …
have led to a paradigm shift towards cognitive intelligent development in manufacturing …