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A curated list of network embedding techniques.
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Bayesian Personalized Ranking
BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
Survey of collaborative filtering techniques and their effectiveness as a movie recommendation system
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Exposure Matrix Factorization: modeling user exposure in recommendation
Implementation of Graph Convolutional Networks in TensorFlow
A tutorial on Graph Convolutional Neural Networks
Source code for CIKM2018 paper "Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network"
LibRec: A Leading Java Library for Recommender Systems, see
This is an implementation of LINE(Large-scale information network embedding) algorithm.
LINE: Large-scale information network embedding
TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.
A List of Recommender Systems and Resources
Must-read papers on network representation learning (NRL) / network embedding (NE)
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
A general-purpose network embedding framework: pair-wise representations optimization Network
The implementation of PsiRec algorithm from ICDM 2018
Classic papers and resources on recommendation
This repository contains recommendation papers and codes, especially reinforcement learning and knowledge graph-based recommendation methods.
RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)
Some algorithms about traditional and social recommendation.
A Matlab implementation of Face Recognition using Sparse Representation.
A Novel Listwise Collaborative Ranking Algorithm published at ICML'18
This folder contains various types of technology knowledge
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.