160 Open source projects that are alternatives of or similar to Recommend

recommender system tutorial with Python

Some common recommendation system baseline, with description and link.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

A Comparative Framework for Multimodal Recommender Systems

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

Pytorch implementation of BERT4Rec and Netflix VAE.

推荐算法个人学习笔记以及代码实战

ECNU ICA seminar materials

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Yelper recommendation system

A curated list of awesome graph & self-supervised-learning-based recommendation.

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

Prototype recommendation engine built to accompany an article on Toptal Blog

A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF

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.

Deep Recommenders

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

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

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

a data science blog

Quick-Data-Science-Experiments

This is a new deep learning model for recommender system, which we called PHD

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

content discovery... IN 3D

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

pytorch version of neural collaborative filtering

Ensemble topic modelling with pLSA

📖Notes and remarks on Machine Learning related papers

Computational Methods for Numerical Analysis

Hybrid Recommender System

kNN-based next-basket recommendation

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.

LibRec: A Leading Java Library for Recommender Systems, see

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Building recommender systems in Julia

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

A github repository suggestion system

A package for interleaving / multileaving ranking generation in go

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

matrix factorization in PyTorch

No description or website provided.

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

A collection tools/scripts to explore the ListenBrainz data using Apache Spark.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Using efficientnet to provide embeddings for retrieval

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

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).