jackwangsysu1234's repositories
Reco-papers
Classic papers and resources on recommendation
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
BPR_MPR
BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
awesome-network-embedding
A curated list of network embedding techniques.
entity2rec
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Recommendation-reading-list
This repository contains recommendation papers and codes, especially reinforcement learning and knowledge graph-based recommendation methods.
list_of_recommender_systems
A List of Recommender Systems and Resources
RSAlgorithms
Some algorithms about traditional and social recommendation.
Technology-Accumulation
This folder contains various types of technology knowledge
librec
LibRec: A Leading Java Library for Recommender Systems, see
RecQ
RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
LINE-1
LINE: Large-scale information network embedding
awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
gcn
Implementation of Graph Convolutional Networks in TensorFlow
SQL-Rank
A Novel Listwise Collaborative Ranking Algorithm published at ICML'18
PsiRecICDM2018
The implementation of PsiRec algorithm from ICDM 2018
proNet-core
A general-purpose network embedding framework: pair-wise representations optimization Network
gcn_tutorial
A tutorial on Graph Convolutional Neural Networks
WhySoMuch
knowledge graph recommendation
TrustSVD
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
Collaborative-Filtering-Recommendation-Engine
Survey of collaborative filtering techniques and their effectiveness as a movie recommendation system
line-2
TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.
Probabilistic-Matrix-Factorization
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
TRACER
The data and code for TRACER
LINE
This is an implementation of LINE(Large-scale information network embedding) algorithm.
time-sensitive-item-based-recommender
Time Sensitive Item Based Recommendation System