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Techniques, Tools and Methodologies Applied to Global Supply Chain Ecosystems pp 383–409Cite as

Recommender Systems in the Offline Retailing Domain: A Systematic Literature Review

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 166))

Abstract

Recommender systems have over the years proved to be effective in overcoming the challenges related to the incredible growth of the information on the Web, and nowadays they are evidently popular in a variety of apparently disparate domains, e.g., e-commerce, tourism and healthcare. Nonetheless, no Systematic Literature Review (SLR), and even no literature survey, aimed at analyzing the current state of academic and industrial research knowledge on recommender systems for the offline retailing domain is reported in the literature. There is, therefore, a need for conducting a SLR that allows revealing the trends and challenges in the research and development of recommender systems for that domain. In this chapter, we present the details about the planning, execution and analysis of results of a SLR of the state of the art of recommender systems for the offline retailing domain. The findings of the analysis of results shed light, among other things, on the necessity of further research on recommendation systems and algorithms for the offline retailing domain, specially, for small local stores and chain stores in the categories of department stores, drugstores and convenience stores.

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Acknowledgements

This work was supported and sponsored by the Tecnológico Nacional de México (TecNM), the México’s National Council of Science and Technology (CONACYT), and the Mexico’s Secretariat of Public Education (SEP) through the PRODEP program.

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  1. Tecnológico Nacional de México/I. T. Orizaba, Avenida Oriente 9 núm. 852, col. Emiliano Zapata, C. P. 94320, Orizaba, Mexico

    Luis Omar Colombo-Mendoza, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate, Maritza Bustos-López, José Luis Sánchez-Cervantes & Giner Alor-Hernández

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  1. Luis Omar Colombo-Mendoza
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Correspondence to Luis Omar Colombo-Mendoza .

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  1. Department of Industrial and Manufacturing Engineering, Autonomous University of Ciudad Juarez, Ciudad Juárez, Chihuahua, Mexico

    Jorge Luis García-Alcaraz

  2. Tecnológico Nacional de Mexico, I. T. Orizaba, Orizaba, Veracruz, Mexico

    Cuauhtémoc Sánchez-Ramírez

  3. Department of Industrial and Manufacturing Engineering, Autonomous University of Ciudad Juarez, Ciudad Juárez, Chihuahua, Mexico

    Liliana Avelar-Sosa

  4. Tecnológico Nacional de Mexico, I. T. Orizaba, Orizaba, Veracruz, Mexico

    Giner Alor-Hernández

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Colombo-Mendoza, L.O., Paredes-Valverde, M.A., Salas-Zárate, M.d.P., Bustos-López, M., Sánchez-Cervantes, J.L., Alor-Hernández, G. (2020). Recommender Systems in the Offline Retailing Domain: A Systematic Literature Review. In: García-Alcaraz, J., Sánchez-Ramírez, C., Avelar-Sosa, L., Alor-Hernández, G. (eds) Techniques, Tools and Methodologies Applied to Global Supply Chain Ecosystems. Intelligent Systems Reference Library, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-26488-8_17

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