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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
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.

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