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Search results for recommendation engines

recommendation-engines x

480 search results found

Recommenders ⭐ 18,046

Best Practices on Recommendation Systems

Bash Snippets ⭐ 9,224

A collection of small bash scripts for heavy terminal users

Deep Learning Interview Book ⭐ 6,435

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）

Openvino ⭐ 5,979

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Implicit ⭐ 3,322

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Machine Learning Specialization Coursera ⭐ 2,082

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Torchrec ⭐ 1,639

Pytorch domain library for recommendation systems

Deeprecommender ⭐ 1,457

Deep learning for recommender systems

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Recommendable ⭐ 1,344

👍👎 A recommendation engine using Likes and Dislikes for your Ruby app

Tensorrec ⭐ 1,180

A TensorFlow recommendation algorithm and framework in Python.

Deeprec ⭐ 1,068

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

Nvtabular ⭐ 1,006

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Deeprec ⭐ 922

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Hugectr ⭐ 891

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Recsys2019_deeplearning_evaluation ⭐ 871

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.

Tutorials ⭐ 847

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

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

Recsyspapers ⭐ 801

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

A Comparative Framework for Multimodal Recommender Systems

Deeprec ⭐ 723

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

Recommendationraccoon ⭐ 690

A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

Deep Recommender System ⭐ 591

深度学习在推荐系统中的应用及论文小结。

Gnn Recommender Systems ⭐ 551

An index of recommendation algorithms that are based on Graph Neural Networks.

Content Engine ⭐ 506

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

Recommendations for Ruby and Rails using collaborative filtering

Ajax Movie Recommendation System With Sentiment Analysis ⭐ 449

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

Caserecommender ⭐ 367

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Neo4j Reco ⭐ 364

Neo4j-based recommendation engine module with real-time and pre-computed recommendations.

Awesome Metric Learning ⭐ 351

😎 A curated list of awesome practical Metric Learning and its applications

Recommendation ⭐ 324

Recommendation System using ML and DL

Openrec ⭐ 316

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

Reinforced Recommendation toolkit build around pytorch 1.7

Tournesol ⭐ 307

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

An Attention-Based User Behavior Modeling Framework for Recommendation

Torch Rechub ⭐ 285

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Deep_recommenders ⭐ 282

Deep Recommenders

Artificial Intelligence Projects ⭐ 280

Collection of Artificial Intelligence projects.

Recommend ⭐ 269

recommendation system with python

Recsys_core ⭐ 268

[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).

Awesome Recommend System Pretraining Papers ⭐ 262

Paper List for Recommend-system PreTrained Models

Recdb Postgresql ⭐ 262

RecDB is a recommendation engine built entirely inside PostgreSQL

项亮的《推荐系统实践》的代码实现

Recommender ⭐ 249

A C library for product recommendations/suggestions using collaborative filtering (CF)

Recsys Dataset ⭐ 244

🛍 A real-world e-commerce dataset for session-based recommender systems research.

Reco Gym ⭐ 236

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Recommendersystem Dataset ⭐ 235

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

Rectools ⭐ 227

RecTools - library to build Recommendation Systems easier and faster than ever before

Merlin Models is a collection of deep learning recommender system model reference implementations

Chameleon_recsys ⭐ 202

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

Awesome Gnn Recommendation ⭐ 191

Graph Neural Network

Recommendationsystem ⭐ 190

Book recommender system using collaborative filtering based on Spark

Goodreads ⭐ 186

code samples for the goodreads datasets

Mydatascienceportfolio ⭐ 172

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

Recommendation Systems Without Explicit Id Features A Literature Review ⭐ 171

Large pre-trained Foundation recommender models

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Spotify Recommendation Engine ⭐ 161

Music Recommender System

Llmrank ⭐ 155

[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"

Hapiger ⭐ 154

HapiGer is an http-wrapper around the Good Enough Recommendation engine using the Hapi.js framework

Newsrecommender ⭐ 144

A news recommendation system tailored for user communities

The Movie Cinema ⭐ 140

The Movie Database for all language movies

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

RiVal recommender system evaluation toolkit

Mangaki ⭐ 135

Site de recommandation de mangas et d'anime

Recommendation System ⭐ 132

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

Word2vec Recommender ⭐ 128

Recommendation engine based on contextual word embeddings

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Neu Review Rec ⭐ 126

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

Graphembeddingrecommendationsystem ⭐ 126

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

Recommender_system_with_python ⭐ 124

recommender system tutorial with Python

Simple_mf ⭐ 123

Simple but Flexible Recommendation Engine in PyTorch

Deepconn ⭐ 121

This is our implementation of DeepCoNN

Reco4php ⭐ 121

Neo4j based Recommendation Engine Framework for PHP

Towards A Standardized Tag Recommender Benchmarking Framework

A DOTA 2 hero recommendation engine for Stanford's CS 229 Machine Learning course.

Image_embeddings ⭐ 115

Using efficientnet to provide embeddings for retrieval

Knowledge_graph_based_intent_network ⭐ 114

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Spark Knn Recommender ⭐ 113

Item and User-based KNN recommendation algorithms using PySpark

Simple recommendation engine implementation built on top of Redis

Yelper_recommendation_system ⭐ 108

Yelper recommendation system

Carskit ⭐ 107

Java-Based Context-aware Recommendation Library

Ibm Data Science Professional Certification ⭐ 106

Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.

Machinelearning ⭐ 106

Machine learning for beginner(Data Science enthusiast)

Simple_recommender ⭐ 105

A simple recommendation engine for Rails/Postgres

Recommender System Tutorial ⭐ 104

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

Wsdm2022 Ptupcdr ⭐ 103

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Spark Recommender ⭐ 102

Scalable recommendation system written in Scala using the Apache Spark framework

Graph Networks ⭐ 101

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

Data Science Popular Algorithms ⭐ 101

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Neural Attentive Item Similarity Model ⭐ 100

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

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

Largebatchctr ⭐ 96

Large batch training of CTR models based on DeepCTR with CowClip.

Relphormer ⭐ 93

Code for the Neurocomputing 2023 paper "Relational Graph Transformer for Knowledge Graph Representation"

Probabilistic Matrix Factorization ⭐ 92

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

Torecsys ⭐ 88

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.

Movie Recommender System ⭐ 86

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

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