View, like, comment, post: Analyzing user engagement by topic at 4 levels across 5 social media platforms for 53 news organizations
We evaluate the effects of the topics of social media posts on audiences across five social
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
Dual sequential prediction models linking sequential recommendation and information dissemination
Sequential recommendation and information dissemination are two traditional problems for
sequential information retrieval. The common goal of the two problems is to predict future …
sequential information retrieval. The common goal of the two problems is to predict future …
YouTube and science: models for research impact
Video communication has been rapidly increasing over the past decade, with YouTube
providing a medium where users can post, discover, share, and react to videos. There has …
providing a medium where users can post, discover, share, and react to videos. There has …
What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics
This research characterises user engagement of approximately 3,000,000 news postings of
53 news outlets and 50,000,000 associated user comments during 8 months on 5 social …
53 news outlets and 50,000,000 associated user comments during 8 months on 5 social …
Optimizing prediction of YouTube video popularity using XGBoost
YouTube is a source of income for many people, and therefore a video's popularity
ultimately becomes the top priority for sustaining a steady income, provided that the …
ultimately becomes the top priority for sustaining a steady income, provided that the …
[PDF][PDF] Predicting the popularity of online content with knowledge-enhanced neural networks
Predicting the popularity of online items has been an important task to understand and
model online popularity dynamics. Feature-based methods are one of the mainstream …
model online popularity dynamics. Feature-based methods are one of the mainstream …
Popularity prediction of online contents via cascade graph and temporal information
Y Shang, B Zhou, Y Wang, A Li, K Chen, Y Song, C Lin - Axioms, 2021 - mdpi.com
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 …
social influence prediction and so on. Recent deep learning models generally utilize graph …
Adversarial training model unifying feature driven and point process perspectives for event popularity prediction
This paper targets a general popularity prediction problem for event sequence, which has
recently gained great attention due to its extensive applications in various domains. Feature …
recently gained great attention due to its extensive applications in various domains. Feature …
Graphinf: A gcn-based popularity prediction system for short video networks
As the emerging entertainment applications, short video platforms, such as Youtube,
Kuaishou, quickly dominant the Internet multimedia traffic. The caching problem will surely …
Kuaishou, quickly dominant the Internet multimedia traffic. The caching problem will surely …
A new fuzzy linear regression algorithm based on the simulation of fuzzy samples and an application on popularity prediction of Covid-19 related videos
A new approach to regression modeling for crisp input-fuzzy output is introduced. The
procedure starts with sample generation of symmetrical triangular fuzzy outputs and …
procedure starts with sample generation of symmetrical triangular fuzzy outputs and …