111 Open source projects that are alternatives of or similar to ADER

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.

Basic Movie Recommendation Web Application using user-item collaborative filtering.

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）

Collection of Artificial Intelligence projects.

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.

What I consider the best practices for web and software development.

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 lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Applying Data Science and Machine Learning to Solve Real World Business Problems

🐳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 。

Reinforced Recommendation toolkit built around pytorch 1.7

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Examples of all Machine Learning Algorithm in Apache Spark

🍃 Recommender System in JavaScript for the MovieLens Database

Compatibility Family Learning for Item Recommendation and Generation

A Toolkit for Neural Review-based Recommendation models with Pytorch.

No description or website provided.

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

[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).

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

Papers on recommendation system / search ranking.

深度学习在推荐系统中的应用及论文小结。

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Graph Neural Network

An Attention-Based User Behavior Modeling Framework for Recommendation

Class Normalization for Continual Zero-Shot Learning

A news recommendation system tailored for user communities

Yum-me is a nutrient based food recommendation system

RiVal recommender system evaluation toolkit

🗞news scraping and recommendation system

This is our implementation of DeepCoNN

Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Best Practices on Recommendation Systems

Collection of diverse recommendation papers

基于tensorflow的个性化电影推荐系统实战(有前端)

[ICLR 2022] Towards Continual Knowledge Learning of Language Models

Prototype recommendation engine built to accompany an article on Toptal Blog

A github repository suggestion system

A TensorFlow recommendation algorithm and framework in Python.

This repository contains some datasets that I have collected in Recommender Systems.

Personalized real-time movie recommendation system

📊 A Recombee integration for Laravel

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Book recommender system using collaborative filtering based on Spark

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

Using efficientnet to provide embeddings for retrieval

A unified, comprehensive and efficient recommendation library

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Recommendation system for Stack Overflow unanswered questions

A django app that builds item-based suggestions for users.

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Machine learning for beginner(Data Science enthusiast)

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined