241 Open source projects that are alternatives of or similar to slopeone

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

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

Next RecSys Library

Accelerated deep learning R&D

Some common recommendation system baseline, with description and link.

Book recommender system using collaborative filtering based on Spark

Deep recommender models using PyTorch.

Classic papers and resources on recommendation

Recommendations for Ruby and Rails using collaborative filtering

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

TensorFlow implemenation of GRu4Rec model

A collection of resources for Recommender Systems (RecSys)

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Quick-Data-Science-Experiments

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

📝 SZU Undergraduate Thesis -- Recommender System

Paper list of NLP for recommender systems

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Recommender systems for Go

A unified, comprehensive and efficient recommendation library

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

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

基于协同过滤的书籍推荐系统

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

A recommender system for discovering GitHub repos, built with Apache Spark

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Factorization Machine models in PyTorch

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

R interface to fast.ai

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Variational autoencoders for collaborative filtering

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

GraphMat graph analytics framework

LibRec: A Leading Java Library for Recommender Systems, see

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Recommender Systems Paperlist that I am interested in

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

RiVal recommender system evaluation toolkit

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

pytorch version of neural collaborative filtering

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

Sequential deep matching model for recommender system at Alibaba

4 different recommendation engines for the MovieLens dataset.

Research on Collaborative Filtering Algorithms

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Lightweight Python library for in-memory matrix completion.

A tour through recommendation algorithms in python [IN PROGRESS]

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

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