Content popularity prediction for cache-enabled wireless B5G networks [PDF]
EURASIP Journal on Advances in Signal Processing, 2021 In this paper, we study the cache prediction problem for mobile edge networks where there exist one base station (BS) and multiple relays. For the proposed mobile edge computing (MEC) network, we propose a cache prediction framework to solve the problem ...
Shiwei Lai +4 more
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Dynamic edge-caching through content popularity and crowd prediction for short video services [PDF]
Scientific ReportsWith the explosive growth of short video traffic and the increasing demand for low-latency content delivery, efficient edge caching strategies have become critical for mobile networks. However, the highly dynamic and personalized characteristics of short
Sen Niu +4 more
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CST-Net: community-guided structural-temporal convolutional networks for popularity prediction [PDF]
PeerJ Computer ScienceThe ability to predict the popularity of online contents has important implications in a wide range of areas. The challenge of this problem comes from the inequality of the popularity of content and the numerous complex factors.
Xuxu Zheng +4 more
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An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach. [PDF]
PLoS ONEThis paper proposes a novel cache replacement technique based on the notion of combining periodic popularity prediction with size caching. The popularity, size, and time updates characteristics are used to calculate the value of each cache item.
Kemal Gökhan Nalbant +5 more
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Content Caching Based on Popularity and Priority of Content Using seq2seq LSTM in ICN
IEEE Access, 2023 Efficient content caching is essential to address the explosive growth of multimedia contents and most works on content cache placement have been proposed mainly based on the popularity of content.
Min Wook Kang, Yun Won Chung
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Route-Based Proactive Content Caching Using Self-Attention in Hierarchical Federated Learning
IEEE Access, 2022 The sheer unpredictability of content popularity, diversified user preferences and demands, and privacy concerns for data sharing all create hurdles to develop proactive content caching strategies in self-driving cars.
Subina Khanal, Kyi Thar, Eui-Nam Huh
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Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System
IEEE Access, 2022 The movie is one of the integral components of our everyday entertainment. The worldwide movie industry is one of the most growing and significant industries and seizing the attention of people of all ages.
Sandipan Sahu +5 more
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IEEE Open Journal of the Communications Society, 2023 In this paper, an ensemble learning-driven edge caching (ELDEC) strategy and a meta-based ensemble learning-driven edge caching (MELDEC) strategy are proposed for content popularity prediction and cache content placement in Internet-of-Vehicles (IoV ...
Tan Zheng Hui Ernest, A. S. Madhukumar
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Popularity Prediction of Online Contents via Cascade Graph and Temporal Information
Axioms, 2021 Predicting the popularity of online content is an important task for content recommendation, social influence prediction and so on. Recent deep learning models generally utilize graph neural networks to model the complex relationship between information ...
Yingdan Shang +6 more
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Neural network and Markov based combination prediction algorithm of video popularity
Dianxin kexue, 2021 Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of ...
Xuesen MA +3 more
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