manuthvann216 / santa-all

Building an E-commerce Gift Recommender System based on User-Generated Wishlists

Santa All

Grant a wish this holiday season

Building an E-commerce Gift Recommender System based on User-Generated Wishlists

Documentation

• Streamlit
• Web App Code

Background and Inspiration

Christmas is coming and people are expected to flock to e-commerce sites to buy gifts instead of doing the usual offline store shopping this holiday season. The project aims to ease gift-giving by providing users a more efficient way of finding appropriate gifts.

Features

• Create a wishlist: Make a public wishlist and fill it up with products you want to receive
• Share with a friend: Share your wishlist link on social media or your favorite messenger
• Get gifted: Your friends can now see your wishlist and buy you gifts

Tools

• Python
• BeautifulSoup
• Selenium
• Spacy
• Networx
• Django
• Streamlit
• Heroku
• Pandas
• Numpy
• Scikit Learn
• Seaborn
• Matplotlib
• Jupyter Notebook

Pipelines

• Lemmatization
• Term Frequency–Inverse Document Frequency (TF-IDF)
• Network Theory
• K Nearest Neighbors
• Scoring System

Evaluation

• Click through rate
• Average revenue per user
• Revenue

Recommendations

• Hybrid Filtering
• 3rd Party Website
• Review Sentiment Analysis

Contributors

• Danilo Gubaton Jr
• Fili Emerson Chua
• Rhey Ann Magcalas
• Roberto Bañadera, Jr

Special Thanks:

• Eskwelabs
• Albert Yumol
• Dianne Ashley Tan
• Elissa Cabal
• John Barrion

Additional Resouces:

• TFIDF
• TFIDF 2
• Lemmatization
• Networkx
• Product Recommendation System
• E-Commerce Recommendation Evaluation