Intelligent Product Recommendation System Using Machine Learning

Registration ID: IJNRD_191447

Published ID: IJNRD2304368

DOI: Click Here to Get

Chamarthi China Raja Rao , Jasti.Gowtham Sai , Vavilapalli.Santosh , A.K.Kalyan Chakravarthy

Online shopping, grocery, recommendations, customers.

Presently a-days there are a lot of trends in online shopping. Almost all the products which are used in day-to-day life are accessible online, particularly groceries. This online shopping makes client simpler to buy their required products. Every individual can buy their required product at any time andanywhere.Suggestionsareutilizedtomakecrafted by the clients simpler and faster. This helps todiminish their significanttime and endeavors. For this, the suggestions given to the customer should be exact and should be fast. And most importantly they should be non-irritable to the customers. In this undertakingon the web basic food item proposal framework, we will create a recommendation model which will recommend the products to the customer based on the reviews

Published Paper   E-Certificate

Chamarthi China Raja Rao , Jasti.Gowtham Sai, Vavilapalli.Santosh, & A.K.Kalyan Chakravarthy (April-2023). Intelligent Product Recommendation System Using Machine Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), d475-d479. https://ijnrd.org/papers/IJNRD2304368.pdf

Volume 8 Issue 4, April-2023

Pages : d475-d479

Paper Reg. ID: IJNRD_191447

Published Paper Id: IJNRD2304368

Downloads: 000121981

Research Area: Information Technology 

Country: Kakinada, Andhra Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304368.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304368

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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