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DFW-PP: dynamic feature weighting-based popularity prediction for social media content
The increasing popularity of social media platforms makes it important to study user engagement, which is a crucial aspect of any marketing strategy...
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Popularity based content caching of YouTube data in cellular networks
The rapid growth of video traffic including web-based monitoring, live streaming, video conferencing and other forms of video constitutes the major...
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Cluster-based content caching driven by popularity prediction
This paper introduces a novel cache replacement strategy, named Cluster-Based Content Caching (CBCC). CBCC extracts the content feature and uses it...
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A multi-perspective micro-analysis of popularity trend dynamics for user-generated content
With the advancements in user-generated content sites, their prominence for multimedia information dissemination is increasing on a rapid scale. An...
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CoPUP: content popularity and user preferences aware content caching framework in mobile edge computing
Mobile edge computing (MEC) enables intelligent content caching at the network edge to reduce traffic and enhance content delivery efficiency. In MEC...
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TCSE: Trend and cascade based spatiotemporal evolution network to predict online content popularity
During online social networks (OSNs), popularity prediction uncovers the final size of online content based on the observed cascade, which has been...
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A survey on popularity bias in recommender systems
Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the...
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Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes
This study sheds light on interconnected topic dynamics across traditional news sources and social media platforms, emphasizing the influential role...
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SMPC: boosting social media popularity prediction with caption
Social media popularity prediction refers to using multi-modal content to predict the popularity of a post offered by an internet user. It is an...
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Emotion detection and its influence on popularity in a social network-based on the American TV series Friends
4.59 billion people worldwide use social networks. Over a billion new posts are uploaded every day to Facebook’s applications (Facebook, Instagram,...
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Memory Augmented Distributed Monte Carlo Tree Search Algorithm-Based Content Popularity Aware Content Recommendation Using Content Centric Networks
The rapid advancements of social media networks have created the problem of overloaded information. As a result, the service providers push multiple...
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Popular image generation based on popularity measures by generative adversarial networks
We study image-to-image translation and synthetic image generation. There is still no developed model to create popular synthetic images based on the...
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VGCas: distinguishing the cascade structure and the global structure in popularity prediction
Online social platforms like Twitter, Weibo, and Facebook have developed rapidly in recent years. These platforms offer people more opportunities to...
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Hashtag recommendation for enhancing the popularity of social media posts
Social media has gained huge importance in our lives wherein there is an enormous demand of getting high social popularity. With the emergence of...
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Caching Contents with Varying Popularity Using Restless Bandits
We study content caching in a wireless network in which the users are connected through a base station that is equipped with a finite capacity cache....
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Controlling Popularity Bias in Sequential Recommendation Models
Society today has witnessed a rapid increase in the prevalence of social media and popular content delivery websites such as Netflix and Spotify. As...
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An efficient fuzzy hyper-edge clustering and popularity-based caching scheme for CCN-enabled IoT networks
Content-Centric Networking (CCN) has emerged as the most convenient architecture for efficient traffic management in contrast to the IP-based...
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Incorporation of Two-Fold Trust in Group Recommender System to Handle Popularity Bias
In recent years, there has been a rise in work which focuses on various issues of recommender systems other than accuracy. Popularity bias is one...
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Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery
As online music platforms continue to grow, music recommender systems play a vital role in hel** users navigate and discover content within their...
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Improving content popularity prediction with k-means clustering and deep-belief networks
User-Generated Content (UGC) is turning into the predominant type of internet traffic. Content popularity prediction plays a pivotal role in managing...
