96219 20210902121840.0 doi 10.1109/ACCESS.2020.3024649 sideral 120532 ART-2020-120532 eng Fabra, J. Universidad de Zaragoza (orcid)0000-0001-5549-7649 Log-Based Session Profiling and Online Behavioral Prediction in E-Commerce Websites 2020 Access copy available to the general public Unrestricted Improvements to customer experience give companies a competitive advantage, as understanding customers' behaviors allows e-commerce companies to enhance their marketing strategies by means of recommendation techniques and the customization of products and services. This is not a simple task, and it becomes more difficult when working with anonymous sessions since no historical information of the user can be applied. In this article, analysis and clustering of the clickstreams of past anonymous sessions are used to synthesize a prediction model based on a neural network. The model allows for prediction of a user's profile after a few clicks of an online anonymous session. This information can be used by the e-commerce's decision system to generate online recommendations and better adapt the offered services to the customer's profile. info:eu-repo/grantAgreement/ES/DGA/T21-17R-DISCO info:eu-repo/grantAgreement/ES/MINECO/TIN2017-84796-C2-2-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.367 2020 COMPUTER SCIENCE, INFORMATION SYSTEMS 65 / 162 = 0.401 2020 Q2 T2 TELECOMMUNICATIONS 36 / 91 = 0.396 2020 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 94 / 273 = 0.344 2020 Q2 T2 0.586 2020 Computer Science (miscellaneous) 2020 Q1 Materials Science (miscellaneous) 2020 Q1 Engineering (miscellaneous) 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Alvarez, P. Universidad de Zaragoza (orcid)0000-0002-6584-7259 Ezpeleta, J. Universidad de Zaragoza (orcid)0000-0002-9622-8186 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 8 (2020), 171834-171850 IEEE Access IEEE Access 2169-3536 1610445 http://zaguan.unizar.es/record/96219/files/texto_completo.pdf Versión publicada 559000 http://zaguan.unizar.es/record/96219/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:96219 articulos driver 2021-09-02-10:22:56 ARTICLE