Results 31 to 40 of about 7,650,707 (279)
Federated Learning-Based Content Popularity Prediction in Fog Radio Access Networks [PDF]
, 2021 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 ...
Wu, Yuting +4 more
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, 2023 In this project we focus on the interplay between volume of sales and number of reviews and explore what happens when these signals are perceived as congruent versus ...
Signals of Popularity
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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
doaj +1 more source
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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Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach
, 2022 In this paper, the content popularity prediction problem in fog radio access networks (F-RANs) is investigated. Based on clustered federated learning, we propose a novel mobility-aware popularity prediction policy, which integrates content popularities ...
Gao, Xiqi +10 more
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DCoL: Distributed Collaborative Learning for Proactive Content Caching at Edge Networks
IEEE Access, 2021 Caching popular content at the network edge, such as roadside units (RSUs), is a promising solution that enhances the user’s quality-of-experience (QoE) and reduces network traffic.
Subina Khanal, Kyi Thar, Eui-Nam Huh
doaj +1 more source
Predicting the Popularity of Online Content by Modeling the Social Influence and Homophily Features
Frontiers in Physics, 2022 Predicting the popularity of online content on social network can bring considerable economic benefits to companies and marketers, and it has wide application in viral marketing, content recommendation, early warning of social unrest, etc.
Yingdan Shang +5 more
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Content-enriched Popularity Prediction for Music Tracks
Die Musikindustrie wächst ständig, vor allem durch den technologischen Fortschritten, die die Art und Weise, wie Musik produziert, vertrieben und vom Publikum genossen wird. Die exakte Prognose der Popularität von Musiktiteln wird Akteure der Musikindustrie zu einem entscheidenden Faktor. In der bisherigen Forschung wurde das Problem der Vorhersage der
Suleiman, Muhammad
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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
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Content popularity prediction in fog radio access networks:a federated learning based approach [PDF]
, 2020 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 ...
Jiang, Y. (Yanxiang) +17 more
core +1 more source