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Product Recommendation System

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dc.contributor.author Acharja, Auntor
dc.contributor.author George, Md. Zahin Hossain
dc.contributor.author Hasan, Mehedi
dc.date.accessioned 2022-01-30T09:47:08Z
dc.date.available 2022-01-30T09:47:08Z
dc.date.issued 2021-06-03
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6904
dc.description.abstract In recent years, e-commerce draws attention to the spread of online shopping portals, many consumers refer to buying merchandise by reviewing feedback, price, and rating of the preferred product. E-commerce occupies an important role in the everyday life of people and requires a substantial amount of time. It has become so popular that people on social e-commerce platforms exchange a large amount of data and viewpoints, which in turn helps to find useful perspectives for organizations/vendors or customers. So, thinking for better purchase here we have created "Recom" basically a Product Recommendation System for providing suggestions to the customers who are interested in purchasing good quality products. It can analyze online products and ranks them according to product price, and rating. Finally, it recommends a suitable product to the target customers. We hope that our application can help our nation by providing better recommendations for any selected product. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Electronic commerce en_US
dc.subject Product management en_US
dc.title Product Recommendation System en_US
dc.type Other en_US

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