Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Recsys Dataset | 244 | a year ago | mit | Python | ||||||
🛍 A real-world e-commerce dataset for session-based recommender systems research. | ||||||||||
Kddcup 2020 | 154 | a year ago | 12 | Python | ||||||
6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System | ||||||||||
Kdd_winniethebest | 91 | 4 years ago | 1 | Jupyter Notebook | ||||||
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place | ||||||||||
Mildnet | 67 | 2 years ago | 10 | apache-2.0 | Jupyter Notebook | |||||
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers. | ||||||||||
Kdd Multimodalities Recall | 64 | 4 years ago | n,ull | Jupyter Notebook | ||||||
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. | ||||||||||
Recommender System Datasets | 50 | 3 years ago | gpl-3.0 | |||||||
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks. | ||||||||||
Retailbox | 34 | a year ago | mit | Python | ||||||
🛍️RetailBox - eCommerce Recommender System using Machine Learning | ||||||||||
Raptor | 33 | 7 years ago | other | Haskell | ||||||
A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell. | ||||||||||
Tron | 33 | 7 months ago | mit | Python | ||||||
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023. | ||||||||||
Graph Kit Ruby | 23 | 9 years ago | Ruby | |||||||
Graph Story Graph Kit for Ruby: A Neo4j-backed recommendation engine in a Spree eCommerce store built on Rails |