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deep_matrix_factorization_models

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

dfn

Deep Feedback Network for Recommendation

dhne

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dstn

Deep Spatio-Temporal Neural Network (DSTN)

embedding-reading

跟踪图向量表示、图卷积网络等图算法方向的经典论文

fm-bpr

Implentation of the Factorization Machine with Bayesian Personalize Ranking criterion

foursquare-attendance-crawler

free-programming-books-zh_cn

免费的计算机编程类中文书籍，欢迎投稿

geo-sage

A Geographical Sparse Additive Generative Model for Spatial Item Recommendation

geo_teaser

graphtr

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation（CIKM20）

hgaprec

Algorithms for Bayesian Poisson factorization

hne

Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

hnhn

Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

implicit-mf

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

imtl

jeju-dlcamp

Location Aware Recommendation System using Relation Network

lantern

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

lbsn2vec

Code release for LBSN2Vec

lbsn_dataset

The datasets can be used for POI/next-POI recommendation, trajectory recommendation, friends recommendation (link prediction), activity recommendations, group recommendation and community discovery tasks.

learning-to-rank-from-implicit-feedback

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

location-privacy-protection

Location Privacy Protection System Based on K-Anonymous

locationrecommendation

lstpm

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

m2grl

A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

movielens-recommender

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

neural_collaborative_filtering

Neural Collaborative Filtering