Improve the understanding of customers in the shopping behavior is the most important task. It is easy to understand customer’s ideas using online shopping behavior but still using offline shopping behavior lacks some facilities as compare with online shopping behavior. Mining the customer’s ideas and their preferences is the main motivation of the shopping behavior.
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IJRTI — journal style
"A recommendation system for customer’s preferences using interaction", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 9, page no.6 - 11, September-2019, Available :https://ijrti.org/papers/IJRTI1909002.pdf
APA — 7th edition
Chavan, R. R. (2019). A recommendation system for customer’s preferences using interaction. International Journal for Research Trends and Innovation, 4(9), 6 - 11. https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002
MLA — 9th edition
Chavan, Rashmi R. "A recommendation system for customer’s preferences using interaction." International Journal for Research Trends and Innovation, vol. 4, no. 9, 2019, pp. 6 - 11, https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002.
Chicago — 17th, bibliography
Chavan, Rashmi R. "A recommendation system for customer’s preferences using interaction." International Journal for Research Trends and Innovation 4, no. 9 (2019): 6 - 11. https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002.
Harvard — author–date
Chavan, R.R. (2019) 'A recommendation system for customer’s preferences using interaction', International Journal for Research Trends and Innovation, 4(9), pp. 6 - 11. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002
IEEE — numbered reference
R. R. Chavan, "A recommendation system for customer’s preferences using interaction," IJRTI, vol. 4, no. 9, pp. 6 - 11, Sep. 2019.
Vancouver — biomedical
Chavan RR. A recommendation system for customer’s preferences using interaction. IJRTI. 2019 Sep;4(9):6 - 11.
AMA — 11th edition
Chavan RR. A recommendation system for customer’s preferences using interaction. IJRTI. 2019;4(9):6 - 11. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1909002,
author = {Rashmi R Chavan},
title = {A recommendation system for customer’s preferences using interaction},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {9},
pages = {6 - 11},
year = {2019},
month = {September},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Chavan, Rashmi R
TI - A recommendation system for customer’s preferences using interaction
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 9
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1909002
SP - 6
EP - 11
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.