AMPS: Predicting popularity of short-form videos using multi-modal attention mechanisms in social media marketing environments

M Cho, D Jeong, E Park - Journal of Retailing and Consumer Services, 2024 - Elsevier
Emerging as a dominant content format amid the shift from television to mobile, short-form
videos wield immense potential across diverse domains. However, the scarcity of datasets …

Social media popularity prediction: A multiple feature fusion approach with deep neural networks

K Ding, R Wang, S Wang - Proceedings of the 27th ACM International …, 2019 - dl.acm.org
Social media popularity prediction (SMPD) aims to predict the popularity of the post shared
on online social media platforms. This task is crucial for content providers and consumers in …

Ai-empowered persuasive video generation: A survey

C Liu, H Yu - ACM Computing Surveys, 2023 - dl.acm.org
Promotional videos are rapidly becoming a popular medium for persuading people to
change their behaviours in many settings (eg, online shop**, social enterprise initiatives) …

[HTML][HTML] From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content

U Sharma, S Rudinac, J Demmers, W van Dolen… - International Journal of …, 2024 - Elsevier
Visual content on platforms like Instagram and TripAdvisor plays a crucial role in consumer
decision-making, particularly in intangible sectors like hospitality, where consumers rely on …

[PDF][PDF] Instagram post popularity trend analysis and prediction using hashtag, image assessment, and user history features.

KR Purba, D Asirvatham, RK Murugesan - Int. Arab J. Inf. Technol., 2021 - iajit.org
Instagram is one of the most popular social networks for marketing. Predicting the popularity
of a post on Instagram is important to determine the influence of a user for marketing …

Understanding and predicting cross-cultural food preferences with online recipe images

Q Zhang, D Elsweiler, C Trattner - Information Processing & Management, 2023 - Elsevier
Predicting food preferences is challenging due to the numerous factors that can influence
individual taste. Cultural influences are one such factor that can significantly impact food …

Contrastive distortion‐level learning‐based no‐reference image‐quality assessment

X Wei, J Li, M Zhou, X Wang - International Journal of …, 2022 - Wiley Online Library
A contrastive distortion‐level learning‐based no‐reference image‐quality assessment (NR‐
IQA) framework is proposed in this study to further effectively model various distortion types …

Follow us and become famous! insights and guidelines from instagram engagement mechanisms

PP Tricomi, M Chilese, M Conti… - Proceedings of the 15th …, 2023 - dl.acm.org
With 1.3 billion users, Instagram (IG) has become an essential business tool. IG influencer
marketing, expected to generate $33.25 billion in 2022, encourages companies and …

[HTML][HTML] A review of feature fusion-based media popularity prediction methods

AA Liu, X Wang, N Xu, J Guo, G **, Q Zhang, Y Tang… - Visual Informatics, 2022 - Elsevier
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 …

Multimodal deep learning for social media popularity prediction with attention mechanism

K Xu, Z Lin, J Zhao, P Shi, W Deng… - Proceedings of the 28th …, 2020 - dl.acm.org
Social media popularity estimation refers to predict the post's popularity using multimodal
contents. The prediction performance heavily relies on the feature extraction part and fully …