Create suggested match software for product datasets -- 2

Hello, Can you tell me more about two datasets and data capacity, etc. My proposal is to develop a desktop application which will meet you requirements. please let me If any queries. Thanks, Sheik

Hi Im an expert in .Net technologies I have been working in software development for the last 20 years I have made some apps based on similarity algorithms to match text fields Please send me an example of the datasets to made some tests Regards Carlos

Hi, I am interested in this project . >>Please include the following in your proposal. >>1. Please provide examples of previous work on similar projects. I did some name and address match project to match input subject to our database subject. >>2. Suggest a possible approach for creating the suggested matches. 1st suggestion - exact match - both product name and price are matched. 2nd suggestion - partial match on product name and exact match on price 3rd suggestion - exact match on product name but price is missing or not matched. Would you please send me what is the dataset format and what os should the software reside on? Thanks.

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>6 years experience in data science, mostly python. Examples of previous work (only as related to the project): - Fuzzy location based matching of voters in electoral registers and linking to demographic data - SaaS business intelligence web application for a private school chain My approach (based on the assumption you are looking for a bijective map): - calculate string distance measures between product names (using Levenshtein, Hamming, Jaccard, or Sorensen string metrics - I pick the metric depending on your data) - build a weighted score function including both the retail price and the product name allowing for deviations in both (make sure the retail price is normalised, important for result quality) - optimise globally to reduce the total weighted score of all mappings (gives first match) - show two runners-up in weighted score without global optimisation (gives 2nd and 3rd match)