Machine Learning - Comparison of Brands with Description

Hello Applicants,

I am looking at building an algorithm that compares Description of the item with the respective brand for a comparative study

I will share some files with shortlisted candidates there are TWO Worksheets. First sheet contains the Brand Master which has names of Brands and second worksheet contains Description of the products of the same brands along with quantity and other details

I want to map the description with respective brand with 100% Accuracy. For e.g. Johnnie Walker i Black in brand worksheet could be called as Johnnie W Blck in the description sheet or JW Black, or Jane Walker in brand worksheet could also be represented as JW in description sheet. Sometimes there could be spelling mistakes. There could be areas which requires expansion for E.g. JWRL could be Johnnie Walker Red label

There are other languages too which needs to be accommodated as some of the description could be different languages

The code should be accurately map the description and should be reusable/ integrated for the larger program which is expected to created. Algorithm should have the capability to understand and map new brands with description which may be launched in near future when included which are currently not present in the sheet

I will provide some sample data with shortlisted candidates.
About the recuiter
Member since May 20, 2018
Pankaj Doot
from Ordu, Turkey

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