Abstract
Nowadays, traditional media are experiencing a strong change. The collapse of advertising-based revenues on paper newspapers has forced publishers to concentrate efforts on optimizing the results of online newspapers published on the Web by improving content management systems. Moreover, if we put the focus on small or medium-sized media, we find the additional problem of the shortage of single users, very necessary to properly model recommendation systems that help increase the number of visits and advertising impacts. In this work, we present an approach for performing automatic recommendation form news in this hard context combining matrix factoring and semantic techniques. We have implemented our solution in a modular architecture design to give flexibility to the creation of elements that take advantage of these recommendations, and also with great monitoring possibilities. Experimental results in real environments are promising, improving outcomes regarding traffic redirection and clicks on ads.
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ETL (Extract, transform and load) is the process that allows organizations to move data from multiple sources, process, and load them into another data storage to analyze, or in another operating system to support a business process.
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A widget typically is a relatively simple and easy-to-use software application or component made for one or more different software platforms. A web widget is a portable application to offer site visitors shopping, advertisements, videos, or other simple functionality from a third party publisher.
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Acknowledgments
This research work has been supported by the project “CMS Avanzado orientado al mundo editorial, basado en técnicas big data e inteligencia artificial” (IDI-20180731) from CDTI Spain. and the CICYT TIN2016-78011-C4-3-R (AEI/FEDER, UE). We want also to thank all the team of Henneo Corporación Editorial for their collaboration in this work.
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Romero, I., Estrada, J., Garrido, A.L., Mena, E. (2021). Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media. In: Stettinger, M., Leitner, G., Felfernig, A., Ras, Z.W. (eds) Intelligent Systems in Industrial Applications. ISMIS 2020. Studies in Computational Intelligence, vol 949. Springer, Cham. https://doi.org/10.1007/978-3-030-67148-8_11
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