Interest-Aware Contrastive-Learning-Based GCN for Recommendation
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DOI: 10.1109/access.2022.3226369
Abstract: Graph convolutional networks (GCNs) have shown great potential in recommender systems. GCN models contain multiple layers of graph convolutions to exploit signals from higher-order neighbors. In each graph convolution, the embedding of a user or… read more here.
Keywords: based gcn; interest aware; contrastive learning; aware contrastive ... See more keywords
Qrator: An Interest-Aware Approach to ABR Streaming Based on User Engagement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3159719
Abstract: Conventional approaches to adaptive bitrate (ABR) streaming fail to further improve the quality of experience (QoE) as they are indifferent to video semantics and user behaviors by focusing solely on the network conditions. These ABR… read more here.
Keywords: qrator; abr streaming; interest aware; user engagement ... See more keywords