AIRI-Institute / Scalable-SASRec
This repository contains code for the paper "Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs", RecSys '24
☆30Updated 6 months ago
Alternatives and similar repositories for Scalable-SASRec:
Users that are interested in Scalable-SASRec are comparing it to the libraries listed below
- The repository provides code for the paper RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders, CIKM'24☆11Updated 6 months ago
- ☆20Updated last year
- ☆49Updated last year
- SANSA - sparse EASE for millions of items☆42Updated 4 months ago
- ☆25Updated 3 years ago
- ☆20Updated last month
- Scalable Linear Shallow Autoencoder for Collaborative Filtering☆22Updated 8 months ago
- Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"☆46Updated last year
- 1st place solution☆18Updated 2 years ago
- code for the gsasrec paper☆22Updated last year
- 2nd place solution for Next Like prediction task☆56Updated 2 years ago
- ☆125Updated last year
- Tutorials and examples of various recommender systems in industrial applications☆51Updated 2 years ago
- ☆18Updated 3 years ago
- Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.☆36Updated 4 years ago
- This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"☆11Updated 6 years ago
- This is an official repository of the Kion Movies Recommendation Dataset.☆12Updated 2 years ago
- An efficient PyTorch implementation of the evaluation metrics in recommender systems.☆27Updated 2 years ago
- ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.☆67Updated last month
- Repository to reproduce SketchBoost paper experiments☆23Updated 2 years ago
- Python based GBDT implementation☆29Updated 3 years ago
- RecSys Library☆68Updated 3 years ago
- ☆10Updated 2 years ago
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated last year
- embarrassingly shallow autoencoder☆68Updated 3 years ago
- Accepted as reproducibility paper at RecSys 2023.☆16Updated last year
- This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencod…☆11Updated 4 years ago
- Noise-Contrastive Visualization☆55Updated last year
- ☆11Updated last year
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated last year