Rating Prediction using Collaborative Filtering

This project predicts customers' clothes ratings from data of clothes measurements, customers' body measurements, fit feedback, and reviews using 3 models:

1. Bag of words model with linear regression
2. Collaborative filtering model with Jaccard similarity
3. Latent factor model

Roadmap

• Rating_Prediction.ipynb: code for exploratory data analysis, data wrangling and machine learning models to predict customer ratings
• Rating_Prediction_Report.pdf: report that discusses the methods, models, and results

Acknowledgements

• Rishabh Misra, Mengting Wan, Julian McAuley: Decomposing fit semantics for product size recommendation in metric spaces, In RecSys, 2018.