236 Open source projects that are alternatives of or similar to multi_channel_bpr

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

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kNN-based next-basket recommendation

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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.

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.

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

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

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

Recommender built using keras

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Rank and serve recommendations

A simple Music Recommendation System

This is our implementation of SAMN: Social Attentional Memory Network

Multi-order Attentive Ranking Model for Sequential Recommendation

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We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc

Knowledge-aware recommendation papers.

code for Gogleva et al manuscript

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

Hybrid Recommender System

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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Machine Learning (EE 5184) in NTU

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

Friends Recommendation and Link Prediction in Social Netowork

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Efficient training of deep recommenders on cloud.

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

Sequential recommendation algorithm

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This is a repository of public data sources for Recommender Systems (RS).

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

A framework for large scale recommendation algorithms.

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

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