Results 1 to 10 of about 5,507,675 (301)

CPJN: News recommendation with a content and popularity joint network

Neural Networks
Users may click on a news because they are interested in its content or because the news contains important information and is very popular. Modeling these two aspects is crucial for accurate news recommendation. Most existing studies focused on capturing users' preferences towards news content, and thus they are limited in investigating in depth users'
Songqiao Han, Hailiang Huang
exaly   +3 more sources

Deep Reinforcement Learning for Reactive Content Caching With Predicted Content Popularity in Three-Tier Wireless Networks

IEEE Transactions on Network and Service Management, 2023
With the explosive growth of micro-video applications, the mobile traffic generated by retrieving a few user-generated micro-videos has brought a massive burden to backhaul links and backbone networks.
Yan Liu, Jinling Jia, Jun Cai, Tai-bin Huang   +3 more
semanticscholar   +1 more source

An Efficient Content Popularity Prediction of Privacy Preserving Based on Federated Learning and Wasserstein GAN

IEEE Internet of Things Journal, 2023
To relieve the high backhaul load and long transmission time caused by the huge mobile data traffic, caching devices are deployed at the edge of mobile networks.
Kailun Wang, Na Deng, Xuanheng Li
semanticscholar   +1 more source

Caching dynamic contents with varying popularity

2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2021
We study content caching in a cellular network consisting of a base station with a cache. New contents arrive in the network according to a Poisson process and the contents stay for exponentially distributed times. At any given time, all the contents in the network have the same popularity or request rate. Also, contents’ request rates are time-varying,
Anu Krishna, Ramya Burra, Chandramani Singh   +2 more
openaire   +1 more source

Mobility-Aware Coded Edge Caching in Vehicular Networks with Dynamic Content Popularity

IEEE Wireless Communications and Networking Conference, 2021
Edge caching has been explored as an effective technology to alleviate the heavy traffic burden of the backhaul and avoid transmission congestion in vehicular networks.
Wenjie Liu, Haixia Zhang, Hui Ding, Dongyang Li, D. Yuan   +4 more
semanticscholar   +1 more source

Replacement based content popularity and cache gain for 6G Content-Centric network

Physical Communication, 2021
In Content-Centric network (CCN), the capacity of router nodes caches the contents to satisfy the requests from subsequent consumers, and reduce the network overhead.
Yan-cheng Ji, Xiao Zhang, Wenfei Liu, Guoan Zhang   +3 more
semanticscholar   +1 more source

Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach

Global Communications Conference, 2021
In this paper, the content popularity prediction problem in cache-enabled fog radio access networks (F-RANs) is investigated. In order to predict the content popularity with high accuracy and low complexity, we propose a Gaussian process based Poisson ...
Yu Tao, Yanxiang Jiang, F. Zheng, M. Bennis, X. You   +4 more
semanticscholar   +1 more source

Popularity-driven content caching

IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
This paper presents a novel cache replacement method — Popularity-Driven Content Caching (PopCaching). PopCaching learns the popularity of content and uses it to determine which content it should store and which it should evict from the cache. Popularity is learned in an online fashion, requires no training phase and hence, it is more responsive to ...
Suoheng Li, Jie Xu 0001, Mihaela van der Schaar, Weiping Li   +3 more
openaire   +1 more source

The Dynamics of Content Popularity in Social Media

International Journal of Data Warehousing and Mining, 2010
Social Bookmarking Systems (SBS) have been widely adopted in the last years, and thus they have had a significant impact on the way that online content is accessed, read and rated. Until recently, the decision on what content to display in a publisher’s web pages was made by one or at most few authorities.
Symeon Papadopoulos, Athena Vakali, Ioannis Kompatsiaris   +2 more
openaire   +1 more source