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jackwangsysu1234's Projects

awesome-recsys-papers icon awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

bpr icon bpr

Bayesian Personalized Ranking

bpr_mpr icon bpr_mpr

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

entity2rec icon entity2rec

entity2rec generates item recommendation using property-specific knowledge graph embeddings

expo-mf icon expo-mf

Exposure Matrix Factorization: modeling user exposure in recommendation

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

lgrec icon lgrec

Source code for CIKM2018 paper "Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network"

librec icon librec

LibRec: A Leading Java Library for Recommender Systems, see

line icon line

This is an implementation of LINE(Large-scale information network embedding) algorithm.

line-1 icon line-1

LINE: Large-scale information network embedding

line-2 icon line-2

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

nrlpapers icon nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

probabilistic-matrix-factorization icon probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

pronet-core icon pronet-core

A general-purpose network embedding framework: pair-wise representations optimization Network

recommendation-reading-list icon recommendation-reading-list

This repository contains recommendation papers and codes, especially reinforcement learning and knowledge graph-based recommendation methods.

recq icon recq

RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)

rsalgorithms icon rsalgorithms

Some algorithms about traditional and social recommendation.

sql-rank icon sql-rank

A Novel Listwise Collaborative Ranking Algorithm published at ICML'18

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