samlobel / RaCT_CFLinks
Ranking-Critical Training for Collaborative Filtering
☆36Updated last year
Alternatives and similar repositories for RaCT_CF
Users that are interested in RaCT_CF are comparing it to the libraries listed below
Sorting:
- [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering☆41Updated 4 years ago
- ☆35Updated 6 years ago
- Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms☆46Updated 5 years ago
- The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"☆117Updated last year
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)☆147Updated 6 years ago
- rectorch is a pytorch-based framework for state-of-the-art top-N recommendation☆151Updated 4 years ago
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Updated 6 years ago
- Scalable Recommendation Algorithms☆35Updated 5 years ago
- matrix factorization in PyTorch☆130Updated 2 years ago
- Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems …☆55Updated 8 months ago
- ☆82Updated 6 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"☆19Updated 5 years ago
- Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources☆48Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Updated 2 years ago
- ☆50Updated 4 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆121Updated 3 years ago
- Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python☆16Updated 7 years ago
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 5 years ago
- This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…☆34Updated 3 years ago
- Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"☆19Updated 6 years ago
- 7th place solution to the WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge☆27Updated 6 years ago
- ☆22Updated 4 years ago
- About Next Basket Recommendations Based on Neural Network.☆48Updated 4 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- Unbiased Learning To Rank Algorithms (ULTRA)☆94Updated 2 years ago
- ☆14Updated 4 years ago
- ☆45Updated 4 years ago