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9 changes: 9 additions & 0 deletions CITATION_AC.bib
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@inproceedings{Desir2025
doi = {10.1007/978-3-032-06118-8_8},
url = {https://doi.org/10.1007/978-3-032-06118-8_8},
publisher = {Springer Nature Switzerland},
author = {Jules D{\'e}sir and Vincent Auriau and Martin Mo{\v{z}}ina and Emmanuel Malherbe},
title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling},
booktitle={Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2025.},
year={2026}
}
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high

There are several inconsistencies in the BibTeX entry. According to the provided DOI, the paper was published in 2024 for the ECML PKDD 2024 conference. The citation key, year, and booktitle should be updated to reflect the correct publication information. This will ensure users cite the work correctly.

@inproceedings{Desir2024,
  doi = {10.1007/978-3-032-06118-8_8},
  url = {https://doi.org/10.1007/978-3-032-06118-8_8},
  publisher = {Springer Nature Switzerland},
  author = {Jules D\'e'sir and Vincent Auriau and Martin Mo\'v'zina and Emmanuel Malherbe},
  title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling},
  booktitle={Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.},
  year={2024}
}

14 changes: 7 additions & 7 deletions README.md
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.06899/status.svg)](https://doi.org/10.21105/joss.06899)
[![cite](https://img.shields.io/badge/Citation-BibTeX-cyan)](./CITATION.bib)
[![cite](https://img.shields.io/badge/ECMLPKDD-BibTeX-cyan)](./CITATION_AC.bib)
</div>

Choice-Learn is a Python package designed to help you formulate, estimate, and deploy discrete choice models. It is optimized to efficiently handle large-scale choice data while minimizing RAM usage.
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```bash
@inproceedings{Desir2025
doi = {},
url = {},
publisher = {},
author = {Jules Désir and Vincent Auriau and Martin Možina and Emmanuel Malherbe},
doi = {10.1007/978-3-032-06118-8_8},
url = {https://doi.org/10.1007/978-3-032-06118-8_8},
publisher = {Springer Nature Switzerland},
author = {Jules D{\'e}sir and Vincent Auriau and Martin Mo{\v{z}}ina and Emmanuel Malherbe},
title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
year={2025},
organization={Springer}
booktitle={Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2025.},
year={2026}
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high

There are inconsistencies in this BibTeX entry. According to the provided DOI, the paper was published in 2024 for the ECML PKDD 2024 conference. The year and booktitle should be updated to reflect the correct publication information. For consistency, you might also want to update the citation key on line 296 to Desir2024.

Suggested change
doi = {10.1007/978-3-032-06118-8_8},
url = {https://doi.org/10.1007/978-3-032-06118-8_8},
publisher = {Springer Nature Switzerland},
author = {Jules D{\'e}sir and Vincent Auriau and Martin Mo{\v{z}}ina and Emmanuel Malherbe},
title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling},
booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
year={2025},
organization={Springer}
booktitle={Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2025.},
year={2026}
doi = {10.1007/978-3-032-06118-8_8},
url = {https://doi.org/10.1007/978-3-032-06118-8_8},
publisher = {Springer Nature Switzerland},
author = {Jules D\'e'sir and Vincent Auriau and Martin Mo\'v'zina and Emmanuel Malherbe},
title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling},
booktitle={Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024.},
year={2024}

}
```

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2 changes: 2 additions & 0 deletions docs/index.md
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Expand Up @@ -40,6 +40,8 @@ Here is a quick overview of the different functionalities offered by Choice-Lear
- The [TaFeng](./references/datasets/references_tafeng.md) dataset from Kaggle
- The ICDM-2013 [Expedia](./references/datasets/references_expedia.md) dataset from Kaggle
- [London Passenger Mode Choice](./references/datasets/references_base.md)
- [The Bakery Dataset](./references/basket_models/datasets/references_bakery.md)
- [The Badminton Dataset](./references/basket_models/datasets/synthetic_dataset.md)

### Single Choice Models
- [Custom modeling](./notebooks/introduction/4_model_customization.md)
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3 changes: 3 additions & 0 deletions docs/references/basket_models/datasets/references_bakery.md
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# Bakery Dataset as TripDataset

:::choice_learn.basket_models.datasets.bakery
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# Synthetic (Badminton) Dataset as TripDataset

:::choice_learn.basket_models.datasets.synthetic_dataset
1 change: 1 addition & 0 deletions mkdocs.yaml
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Expand Up @@ -102,6 +102,7 @@ nav:
- TaFeng Dataset: references/datasets/references_tafeng.md
- ICDM Expedia Dataset: references/datasets/references_expedia.md
- Bakery Dataset: references/basket_models/datasets/references_bakery.md
- Badminton Dataset: references/basket_models/datasets/synthetic_dataset.md
- Choice Models:
- Base Model: references/models/references_base_model.md
- Baseline Models: references/models/references_baseline_models.md
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