217 Open source projects that are alternatives of or similar to Deeprec

content discovery... IN 3D

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Papers about recommendation systems that I am interested in

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

fastFM: A Library for Factorization Machines

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

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

Nimfa: Nonnegative matrix factorization in Python

UC Berkeley team's submission for RecSys Challenge 2018

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

项亮的《推荐系统实践》的代码实现

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

A package for interleaving / multileaving ranking generation in go

RecDB is a recommendation engine built entirely inside PostgreSQL

matrix factorization in PyTorch

Fast Clojure Matrix Library

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

阅读过的推荐系统论文的归类总结，持续更新中…

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

Restricted Boltzmann Machine for collaborative filtering of movies.

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.

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.

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

4 different recommendation engines for the MovieLens dataset.

Recommender built using keras

Factorization Machine models in PyTorch

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

Computational Methods for Numerical Analysis

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

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

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

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

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

A collection of resources for Recommender Systems (RecSys)

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

a recommender engine node-js package for general use and easy to integrate.

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

Variational autoencoders for collaborative filtering

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

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

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

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

Hybrid Recommender System

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

collaborative filtering in mysql

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

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Summary of social recommendation papers and codes

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

Deep Recommenders

A github repository suggestion system

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

Reinforced Recommendation toolkit built around pytorch 1.7

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

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

Using efficientnet to provide embeddings for retrieval

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

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

Yum-me is a nutrient based food recommendation system

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