A user behavior prediction model based on parallel neural network and k-nearest neighbor algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0749-z
Abstract: In the last decade, we have witnessed the dramatic development of the smart home industry. Smart home systems are currently facing an explosive growth of data. Making good use of this vast amount of data… read more here.
Keywords: user behavior; behavior prediction; smart home; model ... See more keywords
Self-Supervised Hyperbolic Spectro-Temporal Graph Convolution Network for Early 3D Behavior Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2025.3561422
Abstract: 3-D human behavior is a highly nonlinear spatiotemporal interaction process. Therefore, early behavior prediction is a challenging task, especially prediction with low observation rates in unsupervised mode. To this end, we propose a novel self-supervised… read more here.
Keywords: self supervised; early behavior; behavior; behavior prediction ... See more keywords
A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3528101
Abstract: Behavior prediction is a fundamental task in intelligent consumer electronics. Its goal is to predict potential future behaviors based on known behaviors, playing a crucial role in understanding user intentions and optimizing device performance. However,… read more here.
Keywords: multi step; consumer electronics; large model; model ... See more keywords
Dual Graph Neural Networks for Dynamic Users’ Behavior Prediction on Social Networking Services
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3409383
Abstract: Social network services (SNSs) provide platforms where users engage in social link behavior (e.g., predicting social relationships) and consumption behavior. Recent advancements in deep learning for recommendation and link prediction explore the symbiotic relationships between… read more here.
Keywords: graph neural; dual graph; prediction; network ... See more keywords
Retrieval-Based Factorization Machines for Human Click Behavior Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1105048
Abstract: Human click behavior prediction is crucial for recommendation scenarios such as online commodity or advertisement recommendation, as it is helpful to improve the quality and user satisfaction of services. In recommender systems, the concept of… read more here.
Keywords: retrieval based; human click; behavior; click behavior ... See more keywords
Enhanced Pet Behavior Prediction via S2GAN-Based Heterogeneous Data Synthesis
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DOI: 10.3390/app14104091
Abstract: Heterogeneous data have been used to enhance behavior prediction performance; however, it involves issues such as missing data, which need to be addressed. This paper proposes enhanced pet behavior prediction via Sensor to Skeleton Generative… read more here.
Keywords: prediction; pet behavior; s2gan based; behavior prediction ... See more keywords
A Scenario-Adaptive Driving Behavior Prediction Approach to Urban Autonomous Driving
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DOI: 10.3390/app7040426
Abstract: Driving through dynamically changing traffic scenarios is a highly challenging task for autonomous vehicles, especially on urban roadways. Prediction of surrounding vehicles’ driving behaviors plays a crucial role in autonomous vehicles. Most traditional driving behavior… read more here.
Keywords: behavior prediction; scenario; driving behavior; approach ... See more keywords
Research on sports activity behavior prediction based on electromyography signal collection and intelligent sensing channel
Sign Up to like & getrecommendations! Published in 2025 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2742
Abstract: Sports behavior prediction requires precise and reliable analysis of muscle activity during exercise. This study proposes a multi-channel correlation feature extraction method for electromyographic (EMG) signals to overcome challenges in sports behavior prediction. A wavelet… read more here.
Keywords: research sports; prediction; multi channel; behavior prediction ... See more keywords