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.