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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   +3 more
openaire   +2 more sources

Clustered Popularity Prediction for Content Caching

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
Content caching should be updated according to the time-varying content popularity. However, with the consideration of the time-consuming cache replacement process, it is necessary to predict the content popularity and adjust the cached contents beforehand. In this paper, we propose a popularity prediction scheme for content caching.
Qi Chen 0017   +2 more
openaire   +2 more sources

PPC: Popularity Prediction Caching in ICN

IEEE Communications Letters, 2018
Thriving future network conceives embedding the ubiquitous in-network caching. The fine-grained cache behavior reveals an intimate relationship among contents in the same stream—sequenced contents have similar cache behavior. This letter presents a novel cache replacement method named popularity prediction caching (PPC) for chunk-level cache by ...
Yuanzun Zhang, Xiaobin Tan, Weiping Li
openaire   +2 more sources

On the Use of Reservoir Computing in Popularity Prediction

2010 2nd International Conference on Evolving Internet, 2010
Predicting the life cycle and the short-term popularity of a Web object is important for network architecture optimization. In this paper, we attempt to predict the popularity of a Web object given its historical access records using a novel neural network technique, reservoir computing (RC).
Wu T.   +3 more
openaire   +1 more source

Predicting Twitter Hashtags Popularity Level

2016 49th Hawaii International Conference on System Sciences (HICSS), 2016
This paper investigates the problem of predicting Twitter hashtags popularity level. A data set of more than 18 million tweets containing 748 thousand hashtags has been prepared by using Twitter's Streaming API. Early adoption properties including profile of tweet authors and adoption time series are used to predict a tag's later popularity level.
openaire   +2 more sources

Taxonomy and Evaluation for Microblog Popularity Prediction

ACM Transactions on Knowledge Discovery from Data, 2019
As social networks become a major source of information, predicting the outcome of information diffusion has appeared intriguing to both researchers and practitioners. By organizing and categorizing the joint efforts of numerous studies on popularity prediction, this article presents a hierarchical taxonomy and helps to establish a systematic overview ...
Xiaofeng Gao 0001   +5 more
openaire   +1 more source

Predicting the Popularity of News Articles

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Yaser Keneshloo   +3 more
openaire   +1 more source

Content Caching Oriented Popularity Prediction: A Weighted Clustering Approach

IEEE Transactions on Wireless Communications, 2021
Meixia Tao, Fei Richard Yu
exaly  

Federated Learning-Based Content Popularity Prediction in Fog Radio Access Networks

IEEE Transactions on Wireless Communications, 2022
Yanxiang Jiang, Xiaohu You, Mehdi Bennis
exaly  

Popularity Predicts

Contemporary Psychology: A Journal of Reviews, 1974
openaire   +1 more source

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