Product Classification Problem:
There is Product Description Data (PDD) of several million records that includes products (such as yarn, diodes, eyeglasses, etc.). This PDD needs to be mapped to a product category (which includes a variety of products)
Example Product Taxonomy Record:
We need to classify these. Currently, we have an existing solution that uses simple text matching algorithms to classify. Based on that we are getting an accuracy rate of approx. 75%. Our objective is to get to 98% or higher.
We are looking for experts who have actually solved this type of problem (in a professional setting and not just in a university) and can demonstrate how their solution would work with a sample of 5000 to 10000 records.
5 freelancers are bidding on average $1850 for this job
Hi, I have a master degree in software engineering and I'm familiar with machine learning and classification algorithms and techniques. I'm interested in your project. Please see PMB for more Information.
I have a masters degree in Computational Neuroscience, and have extensive experience with Machine Learning algorithms. I would be glad to help with this project. Best, Joe