Results 11 to 20 of about 263,843 (270)

Predicting the Popularity of Online Content [PDF]

open access: yesSSRN Electronic Journal, 2008
Early patterns of Digg diggs and YouTube views reflect long-term user interest.
Szabo, Gabor, Huberman, Bernardo A.
openaire   +3 more sources

A Scalable Similarity-Popularity Link Prediction Method [PDF]

open access: yesScientific Reports, 2020
AbstractLink prediction is the task of computing the likelihood that a link exists between two given nodes in a network. With countless applications in different areas of science and engineering, link prediction has received the attention of many researchers working in various disciplines.
Kerrache, Said   +2 more
openaire   +2 more sources

Fiction Popularity Prediction Based on Emotion Analysis [PDF]

open access: yes2020 International Conference on Control, Robotics and Intelligent System, 2020
In addition to bringing us knowledge, books also bring us emotional experiences. How do the emotional fluctuations brought by books affect readers’ evaluation of them? What is the difference in emotional fluctuations between books of different popularity?
Wang, X. (Xing)   +2 more
openaire   +2 more sources

A Longitudinal Model for Song Popularity Prediction

open access: yesProceedings of the 10th International Conference on Data Science, Technology and Applications, 2021
Usage of new generation music streaming platforms such as Spotify and Apple Music has increased rapidly in the last years. Automatic prediction of a song's popularity is valuable for these firms which in turn translates into higher customer satisfaction.
Çimen, Ahmet, Kayış, Enis
openaire   +1 more source

Predicting Popularity of Viral Content in Social Media through a Temporal-Spatial Cascade Convolutional Learning Framework

open access: yesMathematics, 2023
The viral spread of online content can lead to unexpected consequences such as extreme opinions about a brand or consumers’ enthusiasm for a product.
Zhixuan Xu, Minghui Qian
doaj   +1 more source

Predicting the Popularity of Online Content by Modeling the Social Influence and Homophily Features

open access: yesFrontiers in Physics, 2022
Predicting the popularity of online content on social network can bring considerable economic benefits to companies and marketers, and it has wide application in viral marketing, content recommendation, early warning of social unrest, etc.
Yingdan Shang   +5 more
doaj   +1 more source

A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks [PDF]

open access: yes, 2019
Edge-caching is recognized as an efficient technique for future wireless cellular networks to improve network capacity and user-perceived quality of experience.
Chatzinotas, Symeon   +3 more
core   +2 more sources

From popularity prediction to ranking online news [PDF]

open access: yesSocial Network Analysis and Mining, 2014
News articles are an engaging type of online content that captures the attention of a significant amount of Internet users. They are particularly enjoyed by mobile users and massively spread through online social platforms. As a result, there is an increased interest in discovering the articles that will become popular among users. This objective falls
Tatar, Alexandru   +3 more
openaire   +2 more sources

User-aware edge-caching mechanism for mobile social network

open access: yes工程科学学报, 2020
With the rapid growth in the number of intelligent terminal devices and wireless multimedia applications, mobile communication traffic has exploded. The latest report from Cisco Visual Networking Index (CVNI) indicates that by 2022, global mobile data ...
Jing YANG, Jia WU, Hong-xia LI
doaj   +1 more source

Predictability of Popularity: Gaps between Prediction and Understanding

open access: yesProceedings of the International AAAI Conference on Web and Social Media, 2021
Can we predict the future popularity of a song, movie or tweet? Recent work suggests that although it may be hard to predict an item's popularity when it is first introduced, peeking into its early adopters and properties of their social network makes the problem easier.
Shulman, Benjamin   +2 more
openaire   +2 more sources

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