Results 21 to 30 of about 16,913 (141)
Deep Q-Learning-Based Content Caching With Update Strategy for Fog Radio Access Networks
IEEE Access, 2019 In order to improve the edge caching efficiency of the fog radio access network (F-RAN), this paper put forward a distributed deep Q-learning-based content caching scheme based on user preference prediction and content popularity prediction.
Fan Jiang +3 more
doaj +1 more source
IEEE Access, 2019 As information-centric networking (ICN) cache can effectively reduce the requests from customers to producers and improve the efficiency of content acquisition, there are many studies propose to improve system performance of the Internet of Things (IoT ...
Ying Liu +4 more
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Content Popularity Prediction Towards Location-Aware Mobile Edge Caching [PDF]
IEEE Transactions on Multimedia, 2019 to appear in IEEE Trans ...
Peng Yang +5 more
openaire +3 more sources
Online Content Popularity Prediction and Learning in Wireless Edge Caching [PDF]
IEEE Transactions on Communications, 2020 Caching popular contents in advance is an important technique to achieve low latency and reduce the backhaul costs in future wireless communications. Considering a network with base stations distributed as a Poisson point process, optimal content placement caching probabilities are obtained to maximize the average success probability (ASP) for a known ...
Navneet Garg +4 more
openaire +2 more sources
On the predictability of the popularity of online recipes
EPJ Data Science, 2018 Popularity prediction has been studied in diverse online contexts with demonstrable practical, sociological and technical benefit. Here, we add to the popularity prediction literature by studying the popularity of recipes on two large and well visited ...
Christoph Trattner +2 more
doaj +1 more source
Mobile Edge Cache Strategy Based on Neural Collaborative Filtering
IEEE Access, 2020 In order to effectively reduce the network transmission delay and improve the network transmission quality, the concept of Content Delivery Network (CDN) is brought forth to provide necessary technical support. In this paper, the edge cooperative caching
Yu Chen +3 more
doaj +1 more source
Tracking Attention of Social Media Event by Hidden Markov Model–Cases from Sina Weibo
IEEE Access, 2021 Sina Weibo has significantly impact on the information diffusion processes in many real-world social events. A large number of active users on Sina Weibo not only push the opinion diffusion, but also increase the influence abilities of events which ...
Yinghong Ma, Hui Jiao, Le Song
doaj +1 more source
Programmable Switch Aided Content Popularity Prediction and Caching Strategy
2020 3rd International Conference on Hot Information-Centric Networking (HotICN), 2020 Content distribution is the most critical task for the current Internet, (e.g., the estimated video traffic will reach 82 percent of the Internet traffic by 2022). With the fast increase of load of the network, traditional host-centric based network paradigm (i.e., TCP/IP) faces great challenges in terms of efficiency, security, and privacy.
He, Wenji +3 more
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Federated Learning-Based Content Popularity Prediction in Fog Radio Access Networks
IEEE Transactions on Wireless Communications, 2022 In this paper, the content popularity prediction problem in fog radio access networks (F-RANs) is investigated. In order to obtain accurate prediction with low complexity, we propose a novel context-aware popularity prediction policy based on federated learning (FL).
Yanxiang Jiang +4 more
openaire +2 more sources
Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries
IEEE Access, 2017 The precise and timely prediction of program popularity is of great value for content providers, advertisers, and broadcast TV operators. This information can be beneficial for operators in TV program purchasing decisions and can help advertisers ...
Chengang Zhu, Guang Cheng, Kun Wang
doaj +1 more source