ANN Based Recommendation Algorithm for the Product of E-commerce

Aditya Parashar, Eshan Gupta

Abstract


E-commerce websites have millions of product and billions of the reviews given by users on the products. The reviews are given by authentic and fake reviewers. If the customer read some reviews among them to check the quality of the product, he/she may get confuse. If customer gets bad quality product it get hearted and the image of the E-commerce site degrades.  Another problem here is that the reviews are huge in numbers for a single product. To process these reviews E-commerce requires a big quality analysis team, which will be costly for the stakeholders. This paper gives the solution of this problem by doing some automation using artificial neural network. Proposed work is divided into two modules in first half neural net gives its output and in second half all the output is taken and calculate its mean, this mean makes able to the rank the product, that by how much percent it is saleable. Ultimately believe of the customer will maintain and it will not think for other option.

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References


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DOI: https://doi.org/10.23956/ijarcsse/V7I6/0134

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