Intelligent System for the Dissemination and Distribution of Content in Social Networks Using Process Automation by Means of Software-Based Robots (RPA)

Diego F. Quisi-Peralta*, Juan P. Salgado-Guerrero, Jordan F. Murillo-Valarezo, Daniel J. Pulla-Sanchez, Luis D. Paguay-Palaguachi, Verónica E. Angamarca-Deleg

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Social media content dissemination systems have become especially important nowadays, due to the growing popularity of social networks as a means of communication and promotion. In this context a social media content dissemination system that uses process automation techniques. The system allows users to create content using templates and distribute it on various social network platforms in an automated and personalized way. Algorithms are used to analyze user interaction patterns with the content to optimize the dissemination strategy. In addition, an intuitive and easy-to-use user interface is implemented so that users can interact with the system effectively. The results see significant improvement in the interaction rate and effectiveness of content dissemination in social networks. This system represents an innovative solution for the dissemination of content on social networks, optimizing the publication time by 50% and the generation of content by 25%, since it is all done from an integrated system that includes templates.

Idioma originalInglés
Título de la publicación alojadaManagement, Tourism and Smart Technologies - ICMTT 2024
EditoresÁlvaro Rocha, Carlos Montenegro, Elisabeth T. Pereira, José A. M. Victor, Waldo Ibarra
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas162-171
Número de páginas10
ISBN (versión impresa)9783031748271
DOI
EstadoPublicada - 2024
Publicado de forma externa
EventoInternational Conference on Management, Tourism and Technologies, ICMTT 2024 - Cusco, Perú
Duración: 9 may. 202411 may. 2024

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1191 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Management, Tourism and Technologies, ICMTT 2024
País/TerritorioPerú
CiudadCusco
Período9/05/2411/05/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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