Mobile-to-Mobile Video Recommendation
Padmanabha Venkatagiri Seshadri, Mun Choon Chan, Wei Tsang Ooi, (National University of Singapore)

TL;DR
This paper introduces CoFiGel, a distributed video transmission scheduling algorithm for mobile-to-mobile sharing that enhances recommendation accuracy and coverage during crowded events with limited network infrastructure.
Contribution
The paper presents CoFiGel, a novel distributed algorithm that improves video recommendation and sharing efficiency in device-to-device networks during large gatherings.
Findings
CoFiGel significantly improves recommendation coverage and precision.
The algorithm outperforms baseline schemes in real-world trace evaluations.
Distributed scheduling effectively enhances video sharing in bandwidth-constrained environments.
Abstract
Mobile device users can now easily capture and socially share video clips in a timely manner by uploading them wirelessly to a server. When attending crowded events, such as an exhibition or the Olympic Games, however, timely sharing of videos becomes difficult due to choking bandwidth in the network infrastructure, preventing like-minded attendees from easily sharing videos with each other through a server. One solution to alleviate this problem is to use direct device-to-device communication to share videos among nearby attendees. Contact capacity between two devices, however, is limited, and thus a recommendation algorithm, such as collaborative filtering, is needed to select and transmit only videos of potential interest to an attendee. In this paper, we address the question: which video clip should be transmitted to which user. We proposed an video transmission scheduling…
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Taxonomy
TopicsMultimedia Communication and Technology · Image and Video Quality Assessment · Wireless Networks and Protocols
