ISSN2456-3315
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Paper Title

A recommendation system for customer’s preferences using interaction

Authors

Rashmi R Chavan

Keywords

Customer preference, interaction behavior, store-type recommendation, physical stores.

Abstract

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.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

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 -

Issue

Volume 4 Issue 9, September-2019
Pages : 6 - 11

Other Publication Details

Paper Reg. ID IJRTI_180986
Published Paper ID IJRTI1909002
Downloads 205,649
Research Area Engineering
Country Nashik, maharashtra, India
Published September 2019

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2019 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

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.

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