Home > Archive > 2014 > Volume 4 Number 6 (Dec. 2014) >
IJMLC 2014 Vol. 4(6): 501-504 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V6.462

Recommendations Based on Purchase Patterns

Haiyun Lu

Abstract—We propose an approach of recommendation based on purchase patterns. The purchase history of users is analyzed to find their purchase patterns related to user behavior. These patterns are then used to predict the category of next possible purchase in a particular location. The proposed approach is experimented on real transaction data. Synthetic and simulation tests are conducted to evaluate the performance. Results show that it performs better than the baseline sequential pattern analysis.

Index Terms—Recommendation systems, purchase patterns, sequential pattern analysis.

Haiyun Lu is with SAP Research & Innovation, Singapore (e-mail: hai.yun.lu@ sap.com).


Cite: Haiyun Lu, "Recommendations Based on Purchase Patterns," International Journal of Machine Learning and Computing vol. 4, no. 6, pp. 501-504, 2014.

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net

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