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The Wayback Machine - https://web.archive.org/web/20201219125325/https://github.com/topics/recommendation
Here are
232 public repositories
matching this topic...
Best Practices on Recommendation Systems
Updated
Dec 17, 2020
Python
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Updated
Dec 19, 2020
Python
📚 Papers by organizations sharing their work on applied data science & machine learning.
Classic papers and resources on recommendation
Updated
Jun 13, 2020
Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Updated
Apr 23, 2020
Python
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
This repository includes some papers that I have read or which I think may be very interesting.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Updated
Nov 15, 2019
Python
Neural Graph Collaborative Filtering, SIGIR2019
Updated
May 7, 2020
Python
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Updated
Nov 13, 2020
Python
Papers about recommendation systems that I am interested in
RecDB is a recommendation engine built entirely inside PostgreSQL
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Updated
Feb 7, 2020
Python
Updated
Apr 10, 2018
Python
“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.
Updated
Dec 3, 2020
Python
自动化数据探索分析和智能可视化设计应用. Automatic insights discovery and visualization for data analysis.
Updated
Dec 11, 2020
TypeScript
Deep-Learning based CTR models implemented by PyTorch
Updated
Oct 27, 2020
Python
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Updated
Jun 30, 2019
Python
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Updated
Dec 17, 2020
Python
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Updated
Dec 16, 2020
Python
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
Updated
Nov 18, 2020
Python
This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Updated
Apr 30, 2018
Python
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Updated
Dec 9, 2020
Python
基于tensorflow的个性化电影推荐系统实战(有前端)
Updated
Dec 27, 2019
Python
A tutorial series by Preferred.AI
Updated
Jul 18, 2020
Jupyter Notebook
电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎
Updated
Jun 25, 2018
Scala
A recommendation system using tensorflow
Updated
Apr 29, 2018
Jupyter Notebook
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Updated
Sep 19, 2020
Python
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For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur