dc.creatorGarcía-Pérez, Andrés
dc.creatorMillán Hernández, María Alejandra
dc.creatorCastellón Marriaga, Daniela E.
dc.date.accessioned2020-11-04T21:46:31Z
dc.date.accessioned2022-09-28T20:23:59Z
dc.date.available2020-11-04T21:46:31Z
dc.date.available2022-09-28T20:23:59Z
dc.date.created2020-11-04T21:46:31Z
dc.date.issued2020-10-08
dc.identifierGarcía-Pérez A., Hernández M.A.M., Castellón Marriaga D.E. (2020) Predictive Analysis and Data Visualization Approach for Decision Processes in Marketing Strategies: A Case of Study. In: Figueroa-García J.C., Garay-Rairán F.S., Hernández-Pérez G.J., Díaz-Gutierrez Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_6
dc.identifierhttps://hdl.handle.net/20.500.12585/9551
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-030-61834-6_6
dc.identifier10.1007/978-3-030-61834-6_6
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3727331
dc.description.abstractIn this paper, we perform a new strategy for recommender systems in online entertainment platforms. As a case of study, we analyzed the reading preferences based on users of Goodreads, a social network for readers, to classify the books depending on their associated with variables as average rating, rating count, and text review count. Multivariate techniques cluster analysis and benchmarking for comparison of predictive models were used. Graphs and data are presented, allowing optimal evaluation of the number of clusters and the precision of models. Finally, we show the existence of groups of elements that can be forgotten by traditional recommendation systems, due to their low visualization on the platform. It is proposed to use promotional strategies to highlight these high-quality articles but with little visibility. All in all, consider the classification of books that predictive models can offer, it can favor the authors, readers, and investors of Goodreads, by the retention and attraction of users.
dc.languageeng
dc.publisherCartagena de Indias
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceApplied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274
dc.titlePredictive Analysis and Data Visualization Approach for Decision Processes in Marketing Strategies: A Case of Study


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