260 Open source projects that are alternatives of or similar to Lightfm

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

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

SoulSeek client with web interface and recommender system

Multi-order Attentive Ranking Model for Sequential Recommendation

Set of command line tools for Learning To Rank

tools for fast reading of docs

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

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

Материалы третьего набора офлайн-программы Data Scientist.

matrix factorization in PyTorch

Papers about recommendation systems that I am interested in

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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.

A machine learning tool that ranks strings based on their relevance for malware analysis.

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Rank and serve recommendations

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

A simple movie recommendation engine

Some common recommendation system baseline, with description and link.

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Ensemble topic modelling with pLSA

RecDB is a recommendation engine built entirely inside PostgreSQL

Computational Methods for Numerical Analysis

No description or website provided.

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

基于 Pytorch 实现推荐系统相关的算法

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

This is our implementation of SAMN: Social Attentional Memory Network

A Curated List of Must-read Papers on Recommender System.

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

GRu4Rec in TensorFlow

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

code for Gogleva et al manuscript

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

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

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

Tool for autodownloading recommendation systems datasets

阅读过的推荐系统论文的归类总结，持续更新中…

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

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

DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Quick-Data-Science-Experiments

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

Friends Recommendation and Link Prediction in Social Netowork

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

SMORe: Modularize Graph Embedding for Recommendation

recommendation system with python

Machine Learning (EE 5184) in NTU

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Factorization Machine, Deep Learning, Recommender System

This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.

Sequential recommendation algorithm

Recommend system learning resources and learning notes