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atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attention

some attention implements

attention-on-lstm-for-effective-recommendation

We apply attention on LSTM to give more weight to the items which are more relevant for next-item prediction

deepcf

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

deepinterestnetwork

graphembedding-transx

使用TensorFlow实现对知识图谱的表征学习，包括transe\transd\transh\transr

joint-kg-recommender

kbgan

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

kge-rl

Implements various negative sampling techniques for learning knowledge graph embeddings

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

kprn

Reasoning Over Knowledge Graph Paths for Recommendation

mcrec

Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"

mkr1

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

openlearning4deeprecsys

Some deep learning based recsys for open learning.

relation_extraction

Knowledge Base Embedding

ripplenet

A tensorflow implementation of RippleNet

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等