E-commerce-Customer-Behaviour-Dataset

? Finding duplicate images made easy!

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

? Popular marketing tools and add-ons used by 10,000+ of the top e-commerce stores.

Headless e-commerce framework for Django and Wagtail.

? A real-world e-commerce dataset for session-based recommender systems research.

Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense