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Must-read papers on recommendation systems (RecSys)
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation -- CIKM 2018
A Tensorflow implementation of Collaborative Metric Learning (CML)
CVPR 2019 Paper with Code
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation (Bias@ECIR 22))
Genetic Algorithm (GA) and Ant Colony Optimization (ACO) for travel itinerary planning
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
Graph Neural Networks for Social Recommendation, WWW'19
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.
A tensorflow implementation of Knowledge Graph Convolutional Networks
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
[PGAI@CIKM 2023] PyTorch Implementation of LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
lalala
Next RecSys Library
nuaa-PA2017
TOIS'23, Personalized Prompt Learning for Explainable Recommendation
Next location prediction based on Theano
Implementation of the Personalized Ranking Metric Embedding for Next New POI Recommendation
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
Graph Convolutional Networks in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.