Results 41 to 50 of about 7,650,707 (279)
ARMA based popularity prediction for caching in Content Delivery Networks [PDF]
2017 Wireless Days, 2017 Content Delivery Networks (CDNs) are faced with an increasing and time varying demand of video contents. Their ability to promptly react to this demand is a success factor. Caching helps, but the question is: which contents to cache? Considering that the most popular contents should be cached, this paper focuses on how to predict the popularity of ...
Hassine, Nesrine +2 more
openaire +2 more sources
Mining News Content for Popularity Prediction [PDF]
, 2015 The problem of popularity prediction has been studied extensively in various previous research. The idea behind popularity prediction is that the attention users give to online items is unequally distributed, as only a small fraction of all the available
Alshangiti, Moayad
core +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
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
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
Predicting the Popularity of Online Content with Group-specific Models
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017 Predicting the popularity of online content is highly valuable in many applications and has been studied for several years. However, existing models either work in population level---all messages are assumed to follow similar popularity dynamics, lacking flexibility to capture the intrinsic complexity of popularity dynamics, or work in individual level-
Qi Cao 0005 +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
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors [PDF]
2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2010 In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the likelihood that a content will be popular. Our approach is rooted in survival analysis where predicting the precise lifetime of an individual is very hard and almost ...
Lee, Jong Gun +2 more
openaire +2 more sources
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 +5 more
doaj +1 more source