Results 31 to 40 of about 16,913 (141)

Characterizing and Predicting the Popularity of Online Videos

IEEE Access, 2016
A huge amount of video content has been generated on the Internet, and user attention among those videos is allocated in an asymmetric way, with the vast majority barely noticed while a few of videos become very popular.
Chenyu Li, Jun Liu, Shuxin Ouyang
doaj   +1 more source

Dank or not? Analyzing and predicting the popularity of memes on Reddit

Applied Network Science, 2021
Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of March, 2020 ...
Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay   +5 more
doaj   +1 more source

Wireless Edge Caching and Content Popularity Prediction Using Machine Learning [PDF]

IEEE Consumer Electronics Magazine
The ever pervasive growth in information services and technology has resulted in the outbreak of demand for data in the wireless networks. This has made the network operators to ponder over the imminent difficulties such as computing capabilities and fronthaul-backhaul link capacities.
Krishnendu S. Tharakan, B. N. Bharath, Vimal Bhatia, Jamel Nebhen, Michal Dobrovolny, Tharmalingam Ratnarajah   +5 more
openaire   +1 more source

Online Learning Models for Content Popularity Prediction in Wireless Edge Caching [PDF]

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
9 figure, 29 ...
Garg, Navneet, Bhatia, Vimal, Bharath, B. N., Sellathurai, Mathini, Ratnarajah, Tharmalingam   +4 more
openaire   +2 more sources

Social Media Popularity Prediction Based on Multi-Modal Self-Attention Mechanisms

IEEE Access, 2022
Popularity prediction using social media is an important task because of its wide range of real-world applications such as advertisements, recommendation systems, and trend analysis.
Hung-Hsiang Lin, Jiun-Da Lin, Jose Jaena Mari Ople, Jun-Cheng Chen, Kai-Lung Hua   +4 more
doaj   +1 more source

Semantics-Enhanced Temporal Graph Networks for Content Popularity Prediction

IEEE Transactions on Mobile Computing
The surging demand for high-definition video streaming services and large neural network models (e.g., Generative Pre-trained Transformer, GPT) implies a tremendous explosion of Internet traffic. To mitigate the traffic pressure, architectures with in-network storage have been proposed to cache popular contents at devices in closer proximity to users ...
Jianhang Zhu, Rongpeng Li, Xianfu Chen, Shiwen Mao, Jianjun Wu, Zhifeng Zhao   +5 more
openaire   +2 more sources

Caching strategies based on popularity prediction in content delivery networks [PDF]

2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2016
In Content Delivery Networks (CDNs), knowing the popularity of video content helps the manager to take efficient decisions about which video content should be cached near the end users and also about the duplication degree of each video to satisfy the end user Quality of Experience.
Hassine, Nesrine, Marinca, Dana, Minet, Pascale, Barth, Dominique   +3 more
openaire   +2 more sources

Understanding Multimodal Popularity Prediction of Social Media Videos With Self-Attention

IEEE Access, 2018
Predicting popularity of social media videos before they are published is a challenging task, mainly due to the complexity of content distribution network as well as the number of factors that play a part in this process.
Adam Bielski, Tomasz Trzcinski
doaj   +1 more source

Enhancing social media post popularity prediction with visual content

Journal of the Korean Statistical Society
Our study presents a framework for predicting image-based social media content popularity that focuses on addressing complex image information and a hierarchical data structure. We utilize the Google Cloud Vision API to effectively extract key image and color information from users' postings, achieving 6.8% higher accuracy compared to using non-image ...
Dahyun Jeong, Hyelim Son, Yunjin Choi, Keunwoo Kim   +3 more
openaire   +3 more sources

Dynamic content popularity prediction based on spatial-temporal feature in vehicular networks

Intelligent and Converged Networks
Content popularity is crucial for edge caching in vehicular networks, where prediction accuracy directly impacts communication performance. To enhance prediction accuracy by fully exploiting the characteristics of content popularity, we propose a novel ...
Ying Shi, Yuxia Zang, Tong Wang, Yiping Chen, Chi Feng   +4 more
doaj   +1 more source