A Survey on E-Learning Recommendation Systems for Autistic People
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3355589
Abstract: Autism, also known as Autism Spectrum Disorder (ASD) or Asperger’s syndrome, has an impact on cognition, social relationships, and behavior. Based on these characteristics and their learning interests, e-learning (Electronic Learning) recommendation systems attempt to… read more here.
Keywords: recommendation systems; learning recommendation; systems autistic; autistic people ... See more keywords
Quantifying CO2 Emission Reduction Through Spatial Partitioning in Deep Learning Recommendation System Workloads
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Micro"
DOI: 10.1109/mm.2024.3373443
Abstract: The resource demand of modern applications has been increasing at a dizzying pace. This rising prominence is accompanied by a rising concern for the greenhouse gas emissions and carbon footprints of these applications. Deep learning… read more here.
Keywords: deep learning; learning recommendation; co2 emission; quantifying co2 ... See more keywords
Personalized Federated Contrastive Learning for Recommendation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3524587
Abstract: Recommender systems play crucial roles in addressing the issue of information overload, but traditional centralized storage in recommendation poses significant privacy concerns. In recent years, federated learning has been successfully introduced into a recommendation, while… read more here.
Keywords: learning recommendation; federated contrastive; contrastive learning; recommendation ... See more keywords
Disentangled Representation Learning for Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3153112
Abstract: There exist complex interactions among a large number of latent factors behind the decision making processes of different individuals, which drive the various user behavior patterns in recommender systems. These factors hidden in those diverse… read more here.
Keywords: latent factors; recommendation; learning recommendation; representation learning ... See more keywords
Learning Recommendation Algorithm Based on Improved BP Neural Network in Music Marketing Strategy
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/2073881
Abstract: The growth and popularity of streaming music have changed the way people consume music, and users can listen to online music anytime and anywhere. By integrating various recommendation algorithms/strategies (user profiling, collaborative filtering, content filtering,… read more here.
Keywords: recommendation; recommendation algorithm; music marketing; music ... See more keywords
Deep learning recommendation algorithm based on semantic mining
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DOI: 10.1371/journal.pone.0274940
Abstract: This paper proposes Deep Semantic Mining based Recommendation (DSMR), which can extract user features and item attribute features more accurately by deeply mining the semantic information of review text and item description documents recommend. First,… read more here.
Keywords: recommendation; learning recommendation; semantic mining; deep learning ... See more keywords