Recommendation system of apparel using text, brand, color and IMAGE of apparel
The data for the project was collected from the Amazon api for womwns apparal product, because of the large variety of the dataset.
Download the required data from :
https://drive.google.com/drive/folders/1TZPsBO01fk0TzTgCAqSlA_kk5V988svo?usp=sharing
The data has various features :
- Title of the product , the description of the production in 10-20 words ( most important feature )
- Brand of the product
- Color
- Type/Category of the product
In this project I've tried out various stratergies used for the recommendation.
- Bag of Words (BOW)
- Term Frequency (TF)
- Inverse Document Frequency (IDF)
- TF-IDF
- Word2Vec
- CNN ,VGG-16 Model ( for image based recommedation )