Results 61 to 70 of about 16,913 (141)

Predicting the Popularity of Online Content with Group-specific Models

open access: yesProceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion, 2017
Predicting the popularity of online content is highly valuable in many applications and has been studied for several years. However, existing models either work in population level---all messages are assumed to follow similar popularity dynamics, lacking flexibility to capture the intrinsic complexity of popularity dynamics, or work in individual level-
Qi Cao   +4 more
openaire   +1 more source

A Space-Air-Ground Integrated Network Caching Method Based on Clustering Algorithm Content Popularity Prediction

open access: yes天地一体化信息网络
This paper proposed a new space-air-ground integrated network caching method, that was, cluster based content caching method.Based on the space-air-ground integrated network architecture, this method used the extracted content features to predict the ...
Chao QIU, Chenyang WANG
doaj   +2 more sources

IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks

open access: yesBig Data Mining and Analytics
A thorough understanding of the information dissemination process in Online Social Networks (OSNs) is crucial for enhancing user behavior analysis. While recent studies usually focus on assessing the emotional intensity of individual tweets or predicting
Huiyu Min   +3 more
doaj   +1 more source

Machine Learning and Popularity Prediction of a Video Content

open access: yes, 2015
— In Content Delivery Networks (CDNs), the knowledge of the popularity of video contents helps the manager to take efficient decisions about which video contents should be cached near the end users and also about the duplication degree of each video to satisfy the end user Quality of Experience.
Ben Hassine, Nesrine   +3 more
openaire   +1 more source

Predicting User-Centric Behavior : mobility and content popularity

open access: yes, 2014
Comprendre le comportement des utilisateurs est fondamentale pour créer des systèmes de communication efficaces. Dévoiler les interactions complexes entre les utilisateurs dans le monde réel ou en ligne, déchiffrer leurs activité sur Internet, ou comprendre la mobilité humaine - toutes les formes des activités - peuvent avoir un impact direct sur la ...
openaire   +1 more source

Edge caching strategy based on multi-agent deep reinforcement learning in cloud-edge-end scenarios

open access: yesTongxin xuebao
In cloud-edge-end scenarios, edge caching technology aims to promote collaborative content distribution among edge nodes, thereby alleviating the traffic load on backhaul links and enhancing service quality.
WANG Haiyan, CHANG Bo, LUO Jian
doaj  

Content-enriched Popularity Prediction for Music Tracks

open access: yes
Die Musikindustrie wächst ständig, vor allem durch den technologischen Fortschritten, die die Art und Weise, wie Musik produziert, vertrieben und vom Publikum genossen wird. Die exakte Prognose der Popularität von Musiktiteln wird Akteure der Musikindustrie zu einem entscheidenden Faktor. In der bisherigen Forschung wurde das Problem der Vorhersage der
openaire   +1 more source

Improving Social Media Popularity Prediction with Content-aware Post Dependencies

open access: yes
Abstract Numerous social media posts exhibit inherent qualities that determine their popularity even before being published. Consequently, comprehending the patterns of post popularity and forecasting them before publication holds significant practical value.
Zhizhen Zhang   +5 more
openaire   +1 more source

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