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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM24622

ITEM RECOMMENDATION SYSTEM USING MACHINE LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM24622

Volume:

7 |

7 |

Jul 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GM

GEETHA M

UAK

UNZILA ANJUM KALMANI

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Abstract

Every business and organisation today is focused on both meeting client expectations and managing inventories as we achieve new heights of development. By comprehending the pattern from previous sales records, the models they apply enable them to forecast future demand. Everyone has recently given up on using the conventional sales forecasting prediction algorithms since they take so long to produce the desired outcomes. As a result, retailers now keep track of their sales history using a data set that includes information on price tag, outlet type, outlet location, item visibility, item outlet sales, etc.

KEYWORDS

Prediction Regression Machine Learning XG Boost Big Mart Data Science.

Cite This Article

GEETHA M, UNZILA ANJUM KALMANI, "ITEM RECOMMENDATION SYSTEM USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 7, Jul 2023. https://doi.org/10.55041/IJSREM24622

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Publication Date

7/14/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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