CUSTOMER CLASSIFICATION MODELING USING LDA CONSIDERING SPATIAL AREA STRUCTURE
Main Article Content
Abstract
To improve operational efficiency in the driver service industry, it is necessary to understand customer behavioural trends and characteristics. In this study, we propose a customer clustering method using customer data accumulated in a chauffeur service dispatch app, based on Latent Dirichlet Allocation (LDA), which incorporates spatial area structure as a feature. Specifically, we combine DBSCAN and GMM to zone areas with a high concentration of order locations and generate features that represent the area. Furthermore, we design a dataset that combines basic information such as customer age and time of use and extract potential customer groups using LDA. Finally, we evaluate the validity of the classification results and consider their applicability to service improvements
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.