A Theoretical Learning-Based Prefetching in Mobile Online Social Networks

Abstract

A social networking service is an online platform which human beings use to build social networks with other people. When a patron requests for an internet page earlier than having access to the net web page a prediction is made for having access to that web page. A prefetching engine uses those predictions to prefetch the internet objects earlier than the consumer demands them.  To capture this impact, we conduct the social friendship clustering over the set of consumer’s friends, and then expand a cluster-based totally Latent Bias Model for socially-driven gaining knowledge of-primarily based prefetching prediction. We then recommend a utilization-adaptive prefetching scheduling scheme by way of taking into the account that specific customers may additionally possess heterogeneous patterns inside the cellular OSN app usage

Keywords- Prefetching engine, prediction, nline social network, multimedia applications, quality of experience