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Best Practices on Recommendation Systems
Updated
Feb 10, 2022
Python
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
A unified, comprehensive and efficient recommendation library
Updated
Feb 8, 2022
Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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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
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Updated
Feb 10, 2022
Python
Updated
Oct 5, 2020
Jupyter Notebook
Updated
May 12, 2021
Jupyter Notebook
A Comparative Framework for Multimodal Recommender Systems
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Jan 3, 2022
Python
Reinforced Recommendation toolkit built around pytorch 1.7
Updated
Dec 8, 2020
Python
Updated
Oct 30, 2020
Jupyter Notebook
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Updated
Feb 9, 2022
Python
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Updated
Jul 9, 2021
Jupyter Notebook
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Updated
Nov 25, 2021
Python
An Attention-Based User Behavior Modeling Framework for Recommendation
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Dec 18, 2020
Python
RecDB is a recommendation engine built entirely inside PostgreSQL
🐳 基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时,数据由 kafka 发送到 flink,根据用户历史评分行为进行实时和离线推荐。实时推荐包括:基于行为和实时热门,离线推荐包括:历史热门、历史优质商品和 itemcf 。
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Sep 16, 2020
Java
recommendation system with python
Updated
May 29, 2018
Python
Applying Data Science and Machine Learning to Solve Real World Business Problems
Updated
Jul 5, 2020
Jupyter Notebook
This repository contains some datasets that I have collected in Recommender Systems.
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Updated
Dec 30, 2021
Jupyter Notebook
Book recommender system using collaborative filtering based on Spark
Updated
Dec 29, 2017
Python
An index of recommendation algorithms that are based on Graph Neural Networks.
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Updated
Feb 10, 2022
Python
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.
Updated
Dec 13, 2021
Jupyter Notebook
Collection of Artificial Intelligence projects.
Updated
Sep 10, 2021
Jupyter Notebook
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Came up in jfkirk/tensorrec#31
It would be nice to have an arg to re-order the batches every epoch while fitting.
shuffle_batches
arg tofit()
andfit_partial()
that shuffles the batch order every epoch if True