000121112 001__ 121112
000121112 005__ 20240319081001.0
000121112 0247_ $$2doi$$a10.1007/s11042-021-11186-3
000121112 0248_ $$2sideral$$a126300
000121112 037__ $$aART-2022-126300
000121112 041__ $$aeng
000121112 100__ $$aOcaña, Manuel
000121112 245__ $$aAutomatic linguistic reporting of customer activity patterns in open malls
000121112 260__ $$c2022
000121112 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121112 5203_ $$aIn this work, we present a complete system to produce an automatic linguistic reporting about the customer activity patterns inside open malls, a mixed distribution of classical malls joined with the shops on the street. These reports can assist to design marketing campaigns by means of identifying the best places to catch the attention of customers. Activity patterns are estimated with process mining techniques and the key information of localization. Localization is obtained with a parallelized solution based on WiFi fingerprint system to speed up the solution. In agreement with the best practices for human evaluation of natural language generation systems, the linguistic quality of the generated report was evaluated by 41 experts who filled in an online questionnaire. Results are encouraging, since the average global score of the linguistic quality dimension is 6.17 (0.76 of standard deviation) in a 7-point Likert scale. This expresses a high degree of satisfaction of the generated reports and validates the adequacy of automatic natural language textual reports as a complementary tool to process model visualization. © 2021, The Author(s).
000121112 536__ $$9info:eu-repo/grantAgreement/ES/MCIU/RED2018-102641-T$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-099646-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-84796-C2-1-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-90773-REDT
000121112 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000121112 590__ $$a3.6$$b2022
000121112 592__ $$a0.72$$b2022
000121112 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b32 / 108 = 0.296$$c2022$$dQ2$$eT1
000121112 593__ $$aMedia Technology$$c2022$$dQ1
000121112 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b107 / 274 = 0.391$$c2022$$dQ2$$eT2
000121112 593__ $$aSoftware$$c2022$$dQ2
000121112 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b33 / 111 = 0.297$$c2022$$dQ2$$eT1
000121112 593__ $$aComputer Networks and Communications$$c2022$$dQ2
000121112 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b82 / 158 = 0.519$$c2022$$dQ3$$eT2
000121112 593__ $$aHardware and Architecture$$c2022$$dQ2
000121112 594__ $$a6.1$$b2022
000121112 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000121112 700__ $$aChapela-Campa, David
000121112 700__ $$0(orcid)0000-0002-6584-7259$$aÁlvarez, Pedro$$uUniversidad de Zaragoza
000121112 700__ $$aHernández, Noelia
000121112 700__ $$aMucientes, Manuel
000121112 700__ $$0(orcid)0000-0001-5549-7649$$aFabra, Javier$$uUniversidad de Zaragoza
000121112 700__ $$aLlamazares, Ángel
000121112 700__ $$aLama, Manuel
000121112 700__ $$aRevenga, Pedro A.
000121112 700__ $$aBugarín, Alberto
000121112 700__ $$aGarcía-Garrido, Miguel A.
000121112 700__ $$aAlonso, José M.
000121112 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000121112 773__ $$g81 (2022), 3369-3395$$pMultimed. Tools Appl.$$tMultimedia Tools and Applications$$x1380-7501
000121112 8564_ $$s1974476$$uhttps://zaguan.unizar.es/record/121112/files/texto_completo.pdf$$yVersión publicada
000121112 8564_ $$s1415286$$uhttps://zaguan.unizar.es/record/121112/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000121112 909CO $$ooai:zaguan.unizar.es:121112$$particulos$$pdriver
000121112 951__ $$a2024-03-18-14:10:52
000121112 980__ $$aARTICLE