Product Recommendation System for Supermarket

Customers who seek the services at supermarkets are subjected to inconsistencies & ambiguities over choosing their desired products from a wide range of products with the closest quality. Meanwhile, supermarkets find it very difficult to satiate the customers' demand. Therefore, proposing a...

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Bibliographic Details

Published in:	2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) pp. 930 - 935
Main Authors:	Satheesan, Pranavi, Haddela, Prasanna S., Alosius, Jesuthasan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2020
Subjects:	association rule mining Collaborative filtering correlation cosine similarity History Prediction algorithms Predictive models recommendation system Software Solids
Online Access:	Get full text
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