research-article

User Recommendation in Social Metaverse with VR

Authors:

Bing-Jyue Chen,

De-Nian YangAuthors Info & Claims

CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Pages 148 - 158

https://doi.org/10.1145/3511808.3557487

Published: 17 October 2022 Publication History

Abstract

Social metaverse with VR has been viewed as a paradigm shift for social media. However, most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby failing to boost user satisfaction. In this paper, we explore a scenario of socializing in metaverse with VR, which brings major advantages over conventional social media: 1) leverage flexible display of users' 360-degree viewports to satisfy individual user interests, 2) ensure the user feelings of co-existence, 3) prevent view obstruction to help users find friends in crowds, and 4) support socializing with digital twins. Therefore, we formulate the Co-presence, and Occlusion-aware Metaverse User Recommendation (COMUR) problem to recommend a set of rendered players for users in social metaverse with VR. We prove COMUR is an NP-hard optimization problem and design a dual-module deep graph learning framework (COMURNet) to recommend appropriate users for viewport display. Experimental results on real social metaverse datasets and a user study with Occulus Quest 2 manifest that the proposed model outperforms baseline approaches by at least 36.7% of solution quality.

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Cited By

Chen BHo CYang D(2024)AFTER: Adaptive Friend Discovery for Temporal-Spatial and Social-Aware XR2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00207(2639-2652)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00207
Raptis TBoldrini CConti MPassarella A(2024)On the Potential of an Independent Avatar to Augment Metaverse Social Networks2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637545(1-9)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637545
Feng JLin D(2024)Top-level design of AI monitoring system architecture based on multi-interactive metaverse strategy2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695278(660-667)Online publication date: 12-Jul-2024
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Index Terms

User Recommendation in Social Metaverse with VR
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social networks
      2. Social recommendation

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cover image ACM Conferences

CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management

October 2022

5274 pages

ISBN:9781450392365

DOI:10.1145/3511808

General Chairs:
Mohammad Al Hasan
Indiana University Purdue University, Indianapolis, USA
,
Li Xiong
Emory University, Atlanta, USA

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Published: 17 October 2022

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October 17 - 21, 2022

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https://doi.org/10.1109/ICDE60146.2024.00207
Raptis TBoldrini CConti MPassarella A(2024)On the Potential of an Independent Avatar to Augment Metaverse Social Networks2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637545(1-9)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637545
Feng JLin D(2024)Top-level design of AI monitoring system architecture based on multi-interactive metaverse strategy2024 7th International Conference on Computer Information Science and Application Technology (CISAT)10.1109/CISAT62382.2024.10695278(660-667)Online publication date: 12-Jul-2024
https://doi.org/10.1109/CISAT62382.2024.10695278
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Safitra MAlhari MPutri DLubis MFakhrurroja HSatria Praditha V(2023)Metaverse Trend: Definition, Application, Opportunities, Law, and Ethics2023 IEEE International Conference on Computing (ICOCO)10.1109/ICOCO59262.2023.10397864(160-165)Online publication date: 9-Oct-2023
https://doi.org/10.1109/ICOCO59262.2023.10397864
Leong LHew TOoi KHajli NTan G(2023)Revisiting the social commerce paradigm: the social commerce (SC) framework and a research agendaInternet Research10.1108/INTR-08-2022-065734:4(1346-1393)Online publication date: 24-Aug-2023
https://doi.org/10.1108/INTR-08-2022-0657

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