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A Reputation Score Proposal for Online Video Platforms

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Progress in Artificial Intelligence (EPIA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12981))

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Abstract

Boosting the engagement of users and content creators is of critical importance for online video platforms. The success of an online platform can be defined by the number of active users and the amount of time they spend on it, as they will probably take the best advantage of all the available functionalities and spread the word about it. The goal of this research is to propose effective algorithms to create a reputation system capable of generating trust among users and increasing engagement. The algorithm rewards users and content creators for their actions, in addition to motivating them through considerable increases in their reputation during their initial iterations with the platform. The growth is modelled by three basic reputation functions: exponential, logarithmic and lineal mappings. The Noixion TV platform has been used to develop the use case and its data has been gathered to analyse the behaviour of the proposed system.

This research has been supported by the project “Intelligent and sustainable mobility supported by multi-agent systems and edge computing (InEDGE-Mobility): Towards Sustainable Intelligent Mobility: Blockchain-based framework for IoT Security”, Reference: RTI2018-095390-B-C32, financed by the Spanish Ministry of Science, Innovation and Universities (MCIU), the State Research Agency (AEI) and the European Regional Development Fund (FEDER). The research was partially supported by the project “Computación cuántica, virtualización de red, edge computing y registro distribuido para la inteligencia artificial del futuro”, Reference: CCTT3/20/SA/0001, financed by Institute for Business Competitiveness of Castilla y León, and the European Regional Development Fund (FEDER).

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Authors and Affiliations

  1. University of Salamanca, Patio de Escuelas Menores, 37008, Salamanca, Spain

    David Garcia-Retuerta, Roberto Casado-Vara, Diego Valdeolmillos & Juan M. Corchado

  2. Air Institute, IoT Digital Innovation Hub (Spain), Calle Segunda 4, 37188, Salamanca, Spain

    Juan M. Corchado

Authors
  1. David Garcia-Retuerta
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  2. Roberto Casado-Vara
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  3. Diego Valdeolmillos
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  4. Juan M. Corchado
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Corresponding author

Correspondence to David Garcia-Retuerta .

Editor information

Editors and Affiliations

  1. ISEP/GECAD, Polytechnic Institute of Porto, Porto, Portugal

    Goreti Marreiros

  2. IST/INESC-ID, University of Lisbon, Porto Salvo, Portugal

    Francisco S. Melo

  3. DETI/IEETA, University of Aveiro, Aveiro, Portugal

    Nuno Lau

  4. FEUP/LIACC, University of Porto, Porto, Portugal

    Henrique Lopes Cardoso

  5. FEUP/LIACC, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Garcia-Retuerta, D., Casado-Vara, R., Valdeolmillos, D., Corchado, J.M. (2021). A Reputation Score Proposal for Online Video Platforms. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds) Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(), vol 12981. Springer, Cham. https://doi.org/10.1007/978-3-030-86230-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-86230-5_20

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