approved
TARS based prediction for Next Basket

Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list for the next purchase according to her current needs, is one of these services. Current approaches are not capable of capturing at the same time the different factors influencing the customer's decision process: co-occurrence, sequentuality, periodicity and recurrency of the purchased items. To this aim, we define a pattern Temporal Annotated Recurring Sequence (TARS) able to capture simultaneously and adaptively all these factors. We define the method to extract TARS and develop a predictor for next basket named TBP (TARS Based Predictor) that, on top of TARS, is able to understand the level of the customer's stocks and recommend the set of most necessary items. By adopting the TBP the supermarket chains could crop tailored suggestions for each individual customer which in turn could effectively speed up their shopping sessions.

Tags
Data and Resources
To access the resources you must log in
  • TARS and TBPHTML

    GitHub repository

    The resource: 'TARS and TBP' is not accessible as guest user. You must login to access it!
  • Related paperHTML

    The resource: 'Related paper' is not accessible as guest user. You must login to access it!
Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Availability On-Line
Basic rights Download
CreationDate 2018-06-22 10:30
Creator Rossetti, Giulio, giulio.rossetti@isti.cnr.it
Field/Scope of use Any use
Group Demography, Economy and Finance 2.0
Owner Rossetti, Giulio, giulio.rossetti@isti.cnr.it
ProgrammingLanguage Python
RelatedPaper R. Guidotti, G. Rossetti, L. Pappalardo, F. Giannotti, D. Pedreschi "Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences", IEEE International Conference on Data Mining, 2017. In 2017 IEEE International Conference on Data Mining (ICDM) (pp. 895-900). IEEE.
Sublicense rights No
Territory of use World Wide
Thematic Cluster Social Data [SD]
UsageMode Download
system:type Method
Management Info
Field Value
Author Rossetti Giulio
Maintainer Rossetti Giulio
Version 1
Last Updated 14 September 2023, 22:35 (CEST)
Created 29 April 2021, 11:26 (CEST)