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aaai19hers

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-start Recommendation

accm

Attentional Content & Collaborate Model

acda

Attentive Contextual Denoising Autoencoder

acmr-demo

basic modal for cross-modal-retrieval

adabpr

adversarialnetspapers

The classical papers and codes about generative adversarial nets

almm

amar

Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"

amr

This is our official implementation for the paper: Jinhui Tang, Xiangnan He, Xiaoyu Du, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

anr

Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"

apr

Adversarial Model for MF-BPR

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attentional-neural-factorization-machine

Attention,Factorization Machine, Deep Learning, Recommender System

attentive-cf

Visually Explainable Recommendations

attentive-group-recommendation

Atentive Group Recommendation

autoencoder

auto encode to deep learning

autoencoders_cf

awesome-network-embedding

A curated list of network embedding techniques.

awesome-recsys-papers

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

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

bnprec

bspr

Basket-Sensitive Personalized Ranking for Product Recommendation

cape

In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.

carskit

Java-Based Context-aware Recommendation Engine

cd-cars-datasets

CD-CARS datasets used in my PhD thesis in Computer Science.

cdae

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cf4j

CF4J: Collaborative Filtering for Java

chainrec

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.