Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning

Riccardo Guidotti; Mirco Nanni; Fosca Giannotti; Dino Pedreschi; Simone Bertoli; Biagio Speciale; Hillel Rapoport

doi:10.1007/978-3-030-67670-4_23

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning

Riccardo Guidotti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi, Simone Bertoli, Biagio Speciale, Hillel Rapoport

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

“Tell me what you eat and I will tell you what you are”. Jean Anthelme Brillat-Savarin was among the firsts to recognize the relationship between identity and food consumption. Food adoption choices are much less exposed to external judgment and social pressure than other individual behaviours, and can be observed over a long period. That makes them an interesting basis for, among other applications, studying the integration of immigrants from a food consumption viewpoint. Indeed, in this work we analyze immigrants’ food consumption from shopping retail data for understanding if and how it converges towards those of natives. As core contribution of our proposal, we define a score of adoption of natives’ consumption habits by an individual as the probability of being recognized as a native from a machine learning classifier, thus adopting a completely data-driven approach. We measure the immigrant’s adoption of natives’ consumption behavior over a long time, and we identify different trends. A case study on real data of a large nation-wide supermarket chain reveals that we can distinguish five main different groups of immigrants depending on their trends of native consumption adoption.

Original language	English
Title of host publication	Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings
Editors	Yuxiao Dong, Dunja Mladenic, Craig Saunders
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	369-385
Number of pages	17
ISBN (Print)	9783030676698
DOIs	https://doi.org/10.1007/978-3-030-67670-4_23
State	Published - 2021
Externally published	Yes
Event	European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020 - Virtual, Online Duration: 14 Sep 2020 → 18 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12461 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020
City	Virtual, Online
Period	14/09/20 → 18/09/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Funding

Acknowledgment. This work is partially supported by the European Community H2020 programme under the funding schemes: H2020-INFRAIA-2019-1: Res. Infr. G.A. 871042 SoBigData++, G.A. 825619 AI4EU, G.A. 761758 Humane AI, and G.A. 780754 Track &Know. We thank UniCoop Tirreno for providing the data, and Roberto Zicaro for preliminary studies on the proposed methodology and analysis. This work is partially supported by the European Community H2020 programme under the funding schemes: H2020-INFRAIA-2019-1: Res. Infr. G.A. 871042 SoBigData++, G.A. 825619 AI4EU, G.A. 761758 Humane AI, and G.A. 780754 Track &Know. We thank UniCoop Tirreno for providing the data, and Roberto Zicaro for preliminary studies on the proposed methodology and analysis.

Funders	Funder number
European Community H2020 programme	H2020-INFRAIA-2019-1
UniCoop Tirreno

Keywords

Adoption trends
Human migration analysis
Immigrants shopping consumption
Integration
Machine-learning-based measure

Access to Document

10.1007/978-3-030-67670-4_23

Cite this

Guidotti, R., Nanni, M., Giannotti, F., Pedreschi, D., Bertoli, S., Speciale, B., & Rapoport, H. (2021). Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. In Y. Dong, D. Mladenic, & C. Saunders (Eds.), Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings (pp. 369-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12461 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-67670-4_23

Guidotti, Riccardo ; Nanni, Mirco ; Giannotti, Fosca et al. / Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. editor / Yuxiao Dong ; Dunja Mladenic ; Craig Saunders. Springer Science and Business Media Deutschland GmbH, 2021. pp. 369-385 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b31f0a623fb847c89f7c91ec5a36342d,

title = "Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning",

abstract = "“Tell me what you eat and I will tell you what you are”. Jean Anthelme Brillat-Savarin was among the firsts to recognize the relationship between identity and food consumption. Food adoption choices are much less exposed to external judgment and social pressure than other individual behaviours, and can be observed over a long period. That makes them an interesting basis for, among other applications, studying the integration of immigrants from a food consumption viewpoint. Indeed, in this work we analyze immigrants{\textquoteright} food consumption from shopping retail data for understanding if and how it converges towards those of natives. As core contribution of our proposal, we define a score of adoption of natives{\textquoteright} consumption habits by an individual as the probability of being recognized as a native from a machine learning classifier, thus adopting a completely data-driven approach. We measure the immigrant{\textquoteright}s adoption of natives{\textquoteright} consumption behavior over a long time, and we identify different trends. A case study on real data of a large nation-wide supermarket chain reveals that we can distinguish five main different groups of immigrants depending on their trends of native consumption adoption.",

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Guidotti, R, Nanni, M, Giannotti, F, Pedreschi, D, Bertoli, S, Speciale, B & Rapoport, H 2021, Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. in Y Dong, D Mladenic & C Saunders (eds), Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12461 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 369-385, European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, Virtual, Online, 14/09/20. https://doi.org/10.1007/978-3-030-67670-4_23

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. / Guidotti, Riccardo; Nanni, Mirco; Giannotti, Fosca et al.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. ed. / Yuxiao Dong; Dunja Mladenic; Craig Saunders. Springer Science and Business Media Deutschland GmbH, 2021. p. 369-385 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12461 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Guidotti R, Nanni M, Giannotti F, Pedreschi D, Bertoli S, Speciale B et al. Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. In Dong Y, Mladenic D, Saunders C, editors, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 369-385. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-67670-4_23

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning

Abstract

Publication series

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Bibliographical note

Funding

Keywords

Access to Document

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