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Stars
Book recommender system using collaborative filtering based on Spark
AI agents running research on single-GPU nanochat training automatically
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃 Contributions are welcome! Our maintenance capacity is limited, …
A PyTorch implementation of DeepFM for CTR prediction problem.
This repository contains some datasets that I have collected in Recommender Systems.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Neural Graph Collaborative Filtering, SIGIR2019
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.
A curated collection of recommendation datasets with trackable dataset IDs
An index for papers on large language model agents for recommendation and search.
Recommendation System using ML and DL
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
A unified, comprehensive and efficient recommendation library
implement basic and contextual MAB algorithms for recommendation system
Implementing LinUCB and HybridLinUCB in Python.
A Python scikit for building and analyzing recommender systems
A Comparative Framework for Multimodal Recommender Systems
Graph Neural Networks for Recommender Systems
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention, AAAI-24