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- W4376869905 abstract "The personalized video service collects and analyzes user information to provide differentiated services for each user. Additionally, it is impossible to avoid delays when sending a video from a server to a client. However, if prefetching is performed at the edge node, transmission delay can be reduced, and personalized service can be provided by utilizing user information at each edge node. In this paper, we propose a personalized video service based on edge nodes. The proposed method operates so that the edge node performs personalized prefetching in which the number of prefetching is adjusted by calculating the weights of five selection criteria based on the users viewing record. We found that the proposed method has the highest prefetching accuracy through implementation and experiments using the simulation of user behavior of selecting and viewing videos." @default.
- W4376869905 created "2023-05-18" @default.
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- W4376869905 date "2023-05-31" @default.
- W4376869905 modified "2023-09-27" @default.
- W4376869905 title "Personalized Video Prefetching Mechanism Based on User Viewing History in Edge Computing Environment" @default.
- W4376869905 doi "https://doi.org/10.5370/kiee.2023.72.5.620" @default.
- W4376869905 hasPublicationYear "2023" @default.
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