000063048 001__ 63048
000063048 005__ 20190709135521.0
000063048 0247_ $$2doi$$a10.1109/ACCESS.2017.2707600
000063048 0248_ $$2sideral$$a101738
000063048 037__ $$aART-2017-101738
000063048 041__ $$aeng
000063048 100__ $$0(orcid)0000-0002-4950-7246$$aHernandez, S.
000063048 245__ $$aAnalysis of Users' Behavior in Structured e-Commerce Websites
000063048 260__ $$c2017
000063048 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063048 5203_ $$aOnline shopping is becoming more and more common in our daily lives. Understanding users'' interests and behavior is essential to adapt e-commerce websites to customers'' requirements. The information about users'' behavior is stored in the Web server logs. The analysis of such information has focused on applying data mining techniques, where a rather static characterization is used to model users'' behavior, and the sequence of the actions performed by them is not usually considered. Therefore, incorporating a view of the process followed by users during a session can be of great interest to identify more complex behavioral patterns. To address this issue, this paper proposes a linear-temporal logic model checking approach for the analysis of structured e-commerce Web logs. By defining a common way of mapping log records according to the e-commerce structure, Web logs can be easily converted into event logs where the behavior of users is captured. Then, different predefined queries can be performed to identify different behavioral patterns that consider the different actions performed by a user during a session. Finally, the usefulness of the proposed approach has been studied by applying it to a real case study of a Spanish e-commerce website. The results have identified interesting findings that have made possible to propose some improvements in the website design with the aim of increasing its efficiency.
000063048 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-56633-C3-2-R
000063048 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000063048 590__ $$a3.557$$b2017
000063048 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b24 / 148 = 0.162$$c2017$$dQ1$$eT1
000063048 591__ $$aTELECOMMUNICATIONS$$b19 / 87 = 0.218$$c2017$$dQ1$$eT1
000063048 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b48 / 260 = 0.185$$c2017$$dQ1$$eT1
000063048 592__ $$a0.548$$b2017
000063048 593__ $$aComputer Science (miscellaneous)$$c2017$$dQ1
000063048 593__ $$aEngineering (miscellaneous)$$c2017$$dQ1
000063048 593__ $$aMaterials Science (miscellaneous)$$c2017$$dQ2
000063048 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000063048 700__ $$0(orcid)0000-0002-6584-7259$$aAlvarez, P.$$uUniversidad de Zaragoza
000063048 700__ $$0(orcid)0000-0001-5549-7649$$aFabra, J.$$uUniversidad de Zaragoza
000063048 700__ $$0(orcid)0000-0002-9622-8186$$aEzpeleta, J.$$uUniversidad de Zaragoza
000063048 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000063048 773__ $$g5 (2017), 11941-11958$$pIEEE Access$$tIEEE Access$$x2169-3536
000063048 8564_ $$s13093862$$uhttps://zaguan.unizar.es/record/63048/files/texto_completo.pdf$$yVersión publicada
000063048 8564_ $$s116030$$uhttps://zaguan.unizar.es/record/63048/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000063048 909CO $$ooai:zaguan.unizar.es:63048$$particulos$$pdriver
000063048 951__ $$a2019-07-09-11:57:46
000063048 980__ $$aARTICLE