Results 1 to 10 of about 37,309 (258)
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 +3 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 +3 more
doaj +1 more source
Mathematics, 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
Frontiers 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
User-aware edge-caching mechanism for mobile social network
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
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection
IEEE Access, 2016 New item or topic profiling and recommendation are useful yet challenging, especially in face of a “cold-start” situation with sparse user-item ratings for the new arrivals.
Zhongchen Miao +5 more
doaj +1 more source
Learning to Generate Popular Headlines
IEEE Access, 2023 Headlines are not only essential for summarizing news articles but also for grabbing users’ attention. Headline generation is a type of text summarization that can employ either an extractive or abstractive approach, with the latter being more ...
Amin Omidvar, Aijun An
doaj +1 more source
Neural network and Markov based combination prediction algorithm of video popularity
Dianxin kexue, 2021 Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of ...
Xuesen MA +3 more
doaj
A Sound Prediction: EEG-Based Neural Synchrony Predicts Online Music Streams
Frontiers in Psychology, 2021 Neuroforecasting predicts population-wide choices based on neural data of individuals and can be used, for example, in neuromarketing to estimate campaign successes.
Nikki Leeuwis +4 more
doaj +1 more source
Predicting Platform Preference of Online Contents Across Social Media Networks
IEEE Access, 2019 Currently, many professional users tend to promote their websites and brands via multiple online social networks. During activities of information dissemination, the users are confronted with the problem of platform selection.
Yuxia Xue +3 more
doaj +1 more source