H&M Personalized Fashion Recommendation | Machine Learning Project Proposal (Team 28) | Georgia Tech

Given the purchase history of customers along with metadata about both the product and the customer, our goal is to predict what products the customer will purchase in the time duration of 7 days right after the training data ends. The problem is a standard time series recommendation system problem with additional threads in NLP and CV.
Product recommendation is a very important problem in the e-commerce industry. Presenting customers with relevant recommendations not only makes for a good customer experience but also helps with the company’s revenue.

[@saloniyadav4514]

LIT!!!

[@mihirgandhi0706]

Thanks!!

[@palashvishwas9835]

What does "7-day period immediately after the training data ends" exactly mean?

[@mihirgandhi0706]

We are given a block of data for many months. Whenever we take a subset of this data as training data, we take the next week's data after the last date in training data as out testing data. For example, if we take April 1 to June 30 as training data, our testing (and validation) data would be July 1 to July 7.

[@manojyadav-ej6kz]

Sir, I need assistance in recommendation system....can you please provide assistance for this

[@deepfarkade8024]

Can i get your file just for an knowledge purpose ?

[@mihirgandhi0706]

You can find the website here: adityaas.github.io/Fashion-Recommendation-using-ML/

[@roryhardy2474]

PЯӨMӨƧM ☀️