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ThinkMind // International Journal On Advances in Software, volume 12, numbers 1 and 2, 2019 // View article soft_v12_n12_2019_8


Trend Discovery and Social Recommendation in Support of Documentary Production

Authors:
Giorgos Mitsis
Nikos Kalatzis
Ioanna Roussaki
Symeon Papavassiliou

Keywords: documentary production; social-media analytics; Integrated Trends Discovery tool; Social Recommendation & Personalization tool; evaluation; validation; benchmarking

Abstract:
Recent market research has revealed a globally growing interest on documentaries that have now become one of the biggest content-wise genre in the movie titles catalog, surpassing traditionally popular genres such as comedy or adventure films. At the same time, modern audiences appear willing to immerse into more interactive and personalized viewing experiences. Documentaries, even in their linear version, involve high costs in all phases (pre-production, production, post-production) due to various inefficiencies, partly attributed to the lack of scientifically-proven cost-effective Information and Communications Technology tools. To fill this gap, a set of innovative tools is delivered that focus on supporting all stages of the documentary creation process, ranging from the documentary topic selection to its final delivery to the viewers. This paper elaborates on two specific tools that primarily focus on the interests and satisfaction of the targeted audience: the Integrated Trends Discovery tool and the Social Recommendation & Personalization tool. It presents their design, functionality and performance, discusses the extended evaluation and validation that has been carried out and concludes with exploring the future plans and potential regarding these tools.

Pages: 103 to 124

Copyright: Copyright (c) to authors, 2019. Used with permission.

Publication date: June 30, 2019

Published in: journal

ISSN: 1942-2628

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