Popularity prediction - Open Access .click

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2014
Popularity prediction in microblogging network aims to predict the future popularity of a tweet based on the observation in the early stages. Existing studies have investigated many features for prediction. However, features from the users who have potential to retweet a tweet have not been fully explored for this problem.
Shuai Gao, Jun Ma, Zhumin Chen
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2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014
The popularity of online content is unequally distributed. It has been observed that the top 20% most popular content account for about 80% of the network traffic. Inspired by the above observation, dynamic broadcast is designed to delivery popular content over broadcast networks to reduce the load of broadband network.
Zhiyi Tan, Ya Zhang, Chaofeng Li, Ning Liu +3 more
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Prediction of online topics’ popularity patterns

Journal of Information Science, 2020
Popularity prediction of online contents is always a tool of emergency management, business decision-making, and public opinion monitoring. Most previous work has made efforts to predict the volumes or levels of popularity, but patterns of popularity evolution are remaining largely unexplored.
Hengmin Zhu, Yanshuang Mei, Jing Wei, Chao Shen +3 more
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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, Wei Wang, Zhaoyang Zhang
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Some popular methods of prediction

1995
The following sections are included: introduction; smoothing methods of prediction; box and Jenkins method; other selected methods; and concluding remarks.
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2017
Social network services have become a part of modern daily life. Despite explosive growth of social media, people only pay attention to a small fraction of them. Therefore, predicting the popularity of a post in social network becomes an important service and can benefit a series of important applications, such as advertisement delivery, load balancing
Deming Chu +4 more
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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
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Predicting game popularity through graphic modeling

Applied and Computational Engineering
The gaming industry has been a profitable area. But recently given the saturation of the market where there are more than 100,000 games on steam, each game must under go careful planning prior to its release. The planning often involves making sales predictions given various features of the game.
Siyuan Wu, Tingting Yang
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Predicting the Popularity of Social Curation

2015
The amount and variety of social media content such as status, images, movies, and music are increasing rapidly. Accordingly, the social curation service is emerging as a new way to connect, select, and organize information on a massive scale. One noticeable feature of social curation services is that they are loosely supervised: the content that users
Binh Thanh Kieu, Ryutaro Ichise, Son Bao Pham +2 more
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MMSPP: Multimodal Social Media Popularity Prediction

2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS), 2020
People post and share news on social media in daily lives. Popular posts get attention and further influence the society. It’s helpful to know in advance if certain posts will become popular. In order to achieve this, several challenges need to be resolved: (i) more posts become multi-modal – smartphones make it easy to capture and share images and ...
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deep learning
social media
machine learning

prediction
content caching