Abstract
This article aims to give a general overview of the situation of recommender systems within European Public Service Media. As Video On Demand content consumptions increase worldwide, Public Service Media must step up their platforms with technologies that are able to compete with privately-owned giants of the industry and also deliver a technologically efficient solution to fulfill their public service commitments, and establish the standards by which the television of the future will be assessed. Through literature review and an empirical analysis of how VODs are implemented in European PSM, we will gauge the relevance of recommender systems within PSM, determine the number of them currently in use and describe them in relation with the messages on their VOD platforms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
BBC. Summary of market modelling, https://tinyurl.com/yx4drwav. Accessed 02 Sept 2019
Begum, F., Moyser, R.: Cross-Platform Television Viewing Time Report- 2019. IHS Markit (2019)
Campos Freire, F., Rodríguez Castro, M., de Mateo Pérez, R.: The trend of assessment indicators for public service media in europe. Communication: Innovation & Quality, pp. 3–19 (2019). https://doi.org/10.1007/978-3-319-91860-0_1
Council of Europe. Yearbook 2018/2019. Key Trends. Television, Cinema, Video and On-Demand Audiovisual Services - The Pan-European Picture. European Audiovisual Observatory (2019)
Europa Press, RTVE, Atresmedia y Mediaset lanzan hoy ‘LOVEStv’ con la creación de un servicio OTT como posible objetivo final, https://tinyurl.com/us2da7s. Accessed 03 Sept 2019
El Español, Cellnex: el gran ganador del nuevo ‘Netflix’ de Mediaset, Atresmedia y RTVE, https://tinyurl.com/vff8tmu. Accessed 02 Sept 2019
Fields, B., Jones, R., Cowlishaw, T.: The Case for Public Service Recommender Algorithms. BBC London, p. 22–24 (2018)
Horváth, T., de Carvalho, A.: Evolutionary computing in recommender systems: a review of recent research. Nat. Comput. 16(3), 441–462 (2017)
Kane, F.: Building Recommender Systems With Machine Learning and AI: Help People Discover New Products and Content With Deep Learning, Neural Networks, and Machine Learning Recommendations. Amazon Publishing, Seattle (2018)
Ofcom. Media Nations: UK, 2018. Ofcom Annual Media Nations Report (2018)
Pariser, E.: The troubling future of internet search. The Futurist: World Trends and Forecasts (2011)
PWC, How tech will transform content discovery. PricewaterhouseCoopers Consumer Intelligence Series, https://tinyurl.com/r69zrq5. Accessed 02 Sept 2019
Ricci, F., Rokach, L., Shapira, B., Kantor, P.B.: Recommender systems handbook. Springer, Heidelberg (2011)
RTVE, RTVE, Atresmedia y Mediaset España presentan la identidad corporativa de LOVEStv, la plataforma conjunta de contenidos con tecnología HbbTV, https://tinyurl.com/y97eefw8. Accessed 03 Sept 2019
Sohail, S., Siddiqui, J., Ali, R.: Classifications of recommender systems: a review. J. Eng. Sci. Technol. Rev. 10(4), 132–153 (2017)
Sørensen, J., Hutchinson, J.: Algorithms and public service media. In: Public Service Media in the Networked Society RIPE, pp. 91–106 (2018)
Túñez López, J.M., Toural-Bran, C., Valdiviezo-Abad, C.: Automatización, bots y algoritmos en la redacción de noticias. Impacto y calidad del periodismo artificial. Revista Latina de Comunicación Social, 74, pp. 1.411– 1.433 (2019)
Van den Bulck, H., Moe, H.: Public service media, universality and personalisation through algorithms: mapping strategies and exploring dilemmas. Media Cult. Soc. 40(6), 875–892 (2017)
Zhang, J., Wang, Y., Yuan, Z.: Personalized real-time movie recommendation system: Practical prototype and evaluation. Tsinghua Sci. Technol. 25(2), 180–191 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Álvarez, M.V., López, J.M.T., Ruíz, M.J.U. (2020). What Are You Offering?: An Overview of VODs and Recommender Systems in European Public Service Media. In: Rocha, Á., Ferrás, C., Montenegro Marin, C., Medina García, V. (eds) Information Technology and Systems. ICITS 2020. Advances in Intelligent Systems and Computing, vol 1137. Springer, Cham. https://doi.org/10.1007/978-3-030-40690-5_69
Download citation
DOI: https://doi.org/10.1007/978-3-030-40690-5_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40689-9
Online ISBN: 978-3-030-40690-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)