From c54c4ae24ff38ea5ce5308e2791980d655440df7 Mon Sep 17 00:00:00 2001 From: Philipp Normann Date: Fri, 28 Jul 2023 17:04:03 +0200 Subject: [PATCH] Added link to the arXiv preprint of our paper --- README.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/README.md b/README.md index 67a70a8..7ae4c18 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ [![Conference](https://img.shields.io/badge/Conference-RecSys%202023-4b44ce?style=for-the-badge)](https://recsys.acm.org/recsys23/) [![OTTO jobs](https://img.shields.io/badge/otto-jobs-F00020?style=for-the-badge&logo=otto)](https://www.otto.de/jobs/technology/ueberblick/) -**TRON is a scalable session-based Transformer Recommender using Optimized Negative-sampling. This repository contains the [PyTorch Lightning](https://github.com/Lightning-AI/lightning) implementation for our upcoming paper: _Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions\*_, authored by [Timo Wilm](https://www.linkedin.com/in/timo-wilm/), [Philipp Normann](https://www.linkedin.com/in/pnormann), [Sophie Baumeister](https://www.linkedin.com/in/sophie-baumeister/), and [Paul-Vincent Kobow](https://www.linkedin.com/in/paul-vincent-kobow/).** +**TRON is a scalable session-based Transformer Recommender using Optimized Negative-sampling. This repository contains the official [PyTorch Lightning](https://github.com/Lightning-AI/lightning) implementation for our paper: [_Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions_](https://arxiv.org/abs/2307.14906), authored by [Timo Wilm](https://www.linkedin.com/in/timo-wilm/), [Philipp Normann](https://www.linkedin.com/in/pnormann), [Sophie Baumeister](https://www.linkedin.com/in/sophie-baumeister/), and [Paul-Vincent Kobow](https://www.linkedin.com/in/paul-vincent-kobow/).** @@ -181,6 +181,3 @@ For any queries or questions, please reach out to us via our LinkedIn profiles: For specific issues related to the codebase or for feature requests, please create a new issue on our [GitHub page](https://github.com/otto-de/TRON/issues). If this project aids your research or you find it interesting, we would appreciate it if you could star ⭐ the repository. Thanks for your support! - - -\* To be published in the proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023).