Results 1 to 10 of about 263,843 (270)

Popularity Prediction of Instagram Posts [PDF]

Information, 2020
Predicting the popularity of posts on social networks has taken on significant importance in recent years, and several social media management tools now offer solutions to improve and optimize the quality of published content and to enhance the ...
Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai   +4 more
doaj   +3 more sources

Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction [PDF]

Scientific Reports
As digital media grows, there is an increasing demand for engaging content that can captivate audiences. Along with that, the monetary conversion of those engaging videos is also increased.
Neeti Sangwan, Vishal Bhatnagar
doaj   +2 more sources

CST-Net: community-guided structural-temporal convolutional networks for popularity prediction [PDF]

PeerJ Computer Science
The ability to predict the popularity of online contents has important implications in a wide range of areas. The challenge of this problem comes from the inequality of the popularity of content and the numerous complex factors.
Xuxu Zheng, Peng Bao, Lin Qi, Chen Tian, Huawei Shen   +4 more
doaj   +3 more sources

Trend Prediction of Event Popularity from Microblogs

Future Internet, 2021
Owing to rapid development of the Internet and the rise of the big data era, microblog has become the main means for people to spread and obtain information. If people can accurately predict the development trend of a microblog event, it will be of great
Xujian Zhao, Wei Li
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A review of feature fusion-based media popularity prediction methods

Visual Informatics, 2022
With the popularization of social media, the way of information transmission has changed, and the prediction of information popularity based on social media platforms has attracted extensive attention.
An-An Liu, Xiaowen Wang, Ning Xu, Junbo Guo, Guoqing Jin, Quan Zhang, Yejun Tang, Shenyuan Zhang   +7 more
doaj   +1 more source

Content popularity prediction for cache-enabled wireless B5G networks

EURASIP Journal on Advances in Signal Processing, 2021
In this paper, we study the cache prediction problem for mobile edge networks where there exist one base station (BS) and multiple relays. For the proposed mobile edge computing (MEC) network, we propose a cache prediction framework to solve the problem ...
Shiwei Lai, Rui Zhao, Yulin Wang, Fusheng Zhu, Junjuan Xia   +4 more
doaj   +1 more source

Co-Evolving Popularity Prediction in Temporal Bipartite Networks: A Heuristics Based Model

IEEE Access, 2023
One of the big challenges of our modern life is to find the right items or contents on the Internet and particularly in social media. One way of addressing the information overload problem in social media is to predict the future trends and popularity of
Khushnood Abbas, Mohammad Kamrul Hasan, Alireza Abbasi, Shi Dong, Taher M. Ghazal, Siti Norul Huda Sheikh Abdullah, Asif Khan, Dabiah Alboaneen, Fatima Rayan Awad Ahmed, Thowiba E. Ahmed, Shayla Islam   +10 more
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A Multimodal End-to-End Deep Learning Architecture for Music Popularity Prediction

IEEE Access, 2020
The continuous evolution of multimedia applications is fostering applied research in order to dynamically enhance the services provided by platforms such as Spotify, Lastfm, or Billboard.
David Martin-Gutierrez, Gustavo Hernandez Penaloza, Alberto Belmonte-Hernandez, Federico Alvarez Garcia   +3 more
doaj   +1 more source

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information

Axioms, 2021
Predicting the popularity of online content is an important task for content recommendation, social influence prediction and so on. Recent deep learning models generally utilize graph neural networks to model the complex relationship between information ...
Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin   +6 more
doaj   +1 more source

Predicting the Popularity of Information on Social Platforms without Underlying Network Structure

Entropy, 2023
The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing.
Leilei Wu, Lingling Yi, Xiao-Long Ren, Linyuan Lü   +3 more
doaj   +1 more source