266 Open source projects that are alternatives of or similar to ds3-spring-2018

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Бесплатный видео курс "Язык R для пользователей Excel"

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The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

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recommender system tutorial with Python

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

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.

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

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Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

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A simple Music Recommendation System

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

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My lecture notes and other course materials

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

Efficient training of deep recommenders on cloud.

Recommend system learning resources and learning notes

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Search/Recommendation engine and metainformation server for fanfiction net

Machine Learning (EE 5184) in NTU

Course materials for Dartmouth course: Human Memory (PSYC 51.09)

📖Notes and remarks on Machine Learning related papers

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Rank and serve recommendations

Andrew Ng's ML course

DSCI-633: Foundations of Data Science https://github.com/hil-se/fds

Educational ipython source code for applied thermodynamics.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

kNN-based next-basket recommendation

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PyTorch Implementation for Neural Graph Collaborative Filtering

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The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

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

Here is All Weeks Assignment for Using Python to Access Web Data Course on Coursera

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

UC Berkeley team's submission for RecSys Challenge 2018

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

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