RT Journal Article
T1 Automatic linguistic reporting of customer activity patterns in open malls
A1 Ocaña Miguel, Manuel
A1 Chapela-Campa, David
A1 Álvarez Pérez-Aradrós, Pedro Javier
A1 Hernández Parra, Noelia
A1 Mucientes Molina, Manuel
A1 Fabra Caro, Francisco Javier
A1 Llamazares Llamazares, Ángel
A1 Lama Penín, Manuel
A1 Revenga de Toro, Pedro Alfonso
A1 Bugarín-Diz, Alberto
A1 García Garrido, Miguel Ángel
A1 Alonso Moral, José María
K1 Social workflows
K1 Localization
K1 Data mining techniques
K1 Parallelization strategies
K1 Automatic linguistic reporting
AB In 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.
PB Springer Nature
YR 2022
FD 2022
LK http://hdl.handle.net/10347/30778
UL http://hdl.handle.net/10347/30778
LA eng
NO Ocaña, M., Chapela-Campa, D., Álvarez, P., Hernández, N., Mucientes, M., Fabra, J., Llamazares, Á., Lama, M., Revenga, P. A., Bugarín, A., García-Garrido, M. A., & Alonso, J. M. (2022). Automatic linguistic reporting of customer activity patterns in open malls. Multimedia Tools and Applications, 81(3), 3369-3395
NO This work has been partially supported by the Spanish Ministry of Science Innovation and Universities and the European Regional Development Fund (ERDF/FEDER) Grants RTI2018-099646-BI00, TIN2017-84796-C2-1-R, TIN2017-90773-REDT, RED2018-102641-T and RYC-2016-19802 (Ramón y Cajal program, José M. Alonso). Also by the Galician Ministry of Education, University and Professional Training and the ERDF/FEDER program (ED431F2018/02, ED431C2018/29, ED431G2019/04 grants)
DS Minerva
RD 6 jun 2026