Results 121 to 130 of about 16,913 (141)

Popularity prediction–based caching in content delivery networks

Annals of Telecommunications, 2019
In content delivery networks (CDNs), caches are resources that must be allocated. For that purpose, videos’ popularity knowledge helps to make efficient decisions about which videos should be cached. Thus, we must be able to anticipate future needs in terms of requested videos. To do this, we rely on the requests history.
Nesrine Ben Hassine, Pascale Minet, Dana Marinca, Dominique Barth   +3 more
openaire   +1 more source

Analyzing and Predicting the Popularity of Online Contents

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019
With the rapid growth of Internet technology and infrastructure, we have entered the era of data explosion. Following this is the emergence of social networks, which have brought an enormous and ever-growing amount of online content into our digital world.
Minh-Tri Nguyen, Takuma Nakajima, Masato Yoshimi, Nam Thoai   +3 more
openaire   +1 more source

Popularity prediction based on interactions of online contents

2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS), 2016
The interactive behavior of Web users often makes some online contents more popular than others. Thus the popularity of online contents can help us understand public interest and attention behind user interactions. Modeling and predicting the popularity of online contents is an important research topic and can facilitate many practical applications in ...
Qingchao Kong, Wenji Mao, Chunyang Liu
openaire   +1 more source

Characterizing and Predicting Viral-and-Popular Video Content

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
The proliferation of online video content has triggered numerous works on its evolution and popularity, as well as on the effect of social sharing on content propagation. In this paper, we focus on the observable dependencies between the virality of video content on a micro-blogging social network (in this case, Twitter) and the popularity of such ...
David Vallet, Shlomo Berkovsky, Sebastien Ardon, Anirban Mahanti, Mohamed Ali Kafaar   +4 more
openaire   +1 more source

The Utility Problem of Web Content Popularity Prediction

Proceedings of the 29th on Hypertext and Social Media, 2018
The ability to generate and share content on social media platforms has changed the Internet. With the growing rate of content generation, efforts have been directed at making sense of such data. One of the most researched problem concerns predicting web content popularity.
Nuno Moniz, Luís Torgo
openaire   +1 more source

Predicting the popularity of online news from content metadata

2016 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016
Popularity prediction of online news aims to predict the future popularity of news article prior to its publication estimating the number of shares, likes, and comments. Yet, popularity prediction is a challenging task due to various issues including difficulty to measure the quality of content and relevance of content to users; prediction difficulty ...
Md. Taufeeq Uddin, Muhammed Jamshed Alam Patwary, Tanveer Ahsan, Mohammed Shamsul Alam   +3 more
openaire   +1 more source

Multimedia Content Popularity: Learning and Recommending a Prediction Method

2018 IEEE Global Communications Conference (GLOBECOM), 2018
In 5G networks, Mobile Edge Computing (MEC) has been proposed to enable computation and storage capabilities at the edge of Radio Access Networks. Proactive content caching in MEC is crucial to guarantee users' Quality of Experience thanks to the reduction of traffic latency.
Nhan Nguyen-Thanh, Dana Marinca, Kinda Khawam, Steven Martin, Lila Boukhatem   +4 more
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Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking

2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017
Content centric networking (CCN) is a promising architecture for the future networks. In-networking caching of CCN can significantly improve the content delivery efficiency. Content popularity is one of the key factors considered in the design of the caching strategy.
Xinwei Jiang, Tiankui Zhang, Zhimin Zeng
openaire   +1 more source

Caching algorithm for content-oriented networks using prediction of popularity of contents

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015
It is important to use cache efficiently for the content deployment in the aspect of reducing load of server and latency, especially in content-oriented networks such as ICN (Information Centric Networking). Since the capacity of cache on each network node is limited, numbers of cache replacement algorithm have been proposed.
Hiroki Nakayama, Shingo Ata, Ikuo Oka
openaire   +1 more source

Predicting popularity dynamics of online contents using data filtering methods

2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016
This paper proposes a new prediction process to explain and predicts popularity evolution of YouTube videos. We exploit prior study on the classification of YouTube videos in order to predict the evolution of videos' view-count. This classification allows to identify important factors of the observed popularity dynamics.
Richier, Cedric, Elazouzi, Rachid, Jimenez, Tania, Altman, Eitan, Linares, Georges   +4 more
openaire   +2 more sources