diff --git a/CITATION_AC.bib b/CITATION_AC.bib new file mode 100644 index 00000000..03f8ba5c --- /dev/null +++ b/CITATION_AC.bib @@ -0,0 +1,10 @@ +@inproceedings{desir2025, + doi = {10.1007/978-3-032-06118-8_8}, + url = {https://doi.org/10.1007/978-3-032-06118-8_8}, + title={Better Capturing Interactions Between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling}, + author={D{\'e}sir, Jules and Auriau, Vincent and Mo{\v{z}}ina, Martin and Malherbe, Emmanuel}, + booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases}, + pages={125--142}, + year={2025}, + organization={Springer} +} diff --git a/README.md b/README.md index b9abb235..98f4a9ae 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,7 @@ [![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) 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. @@ -271,7 +272,7 @@ If you consider this package or any of its feature useful for your research, con -```bash +```bibtex @article{Auriau2024, doi = {10.21105/joss.06899}, url = {https://doi.org/10.21105/joss.06899}, @@ -291,14 +292,14 @@ If you make use of the *AleaCarta* model [[17]](#trident-references), consider c -```bash -@inproceedings{Desir2025 - doi = {}, - url = {}, - publisher = {}, - author = {Jules Désir and Vincent Auriau and Martin Možina and Emmanuel Malherbe}, - title = {Better Capturing Interactions between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling}, +```bibtex +@inproceedings{desir2025, + doi = {10.1007/978-3-032-06118-8_8}, + url = {https://doi.org/10.1007/978-3-032-06118-8_8}, + title={Better Capturing Interactions Between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling}, + author={D{\'e}sir, Jules and Auriau, Vincent and Mo{\v{z}}ina, Martin and Malherbe, Emmanuel}, booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases}, + pages={125--142}, year={2025}, organization={Springer} } diff --git a/docs/index.md b/docs/index.md index 568f22e5..4c4fee6a 100644 --- a/docs/index.md +++ b/docs/index.md @@ -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) diff --git a/docs/references/basket_models/datasets/references_bakery.md b/docs/references/basket_models/datasets/references_bakery.md new file mode 100644 index 00000000..2d95ccf4 --- /dev/null +++ b/docs/references/basket_models/datasets/references_bakery.md @@ -0,0 +1,3 @@ +# Bakery Dataset as TripDataset + +:::choice_learn.basket_models.datasets.bakery diff --git a/docs/references/basket_models/datasets/references_synthetic_dataset.md b/docs/references/basket_models/datasets/references_synthetic_dataset.md new file mode 100644 index 00000000..7ab5dcca --- /dev/null +++ b/docs/references/basket_models/datasets/references_synthetic_dataset.md @@ -0,0 +1,3 @@ +# Synthetic (Badminton) Dataset as TripDataset + +:::choice_learn.basket_models.datasets.synthetic_dataset diff --git a/mkdocs.yaml b/mkdocs.yaml index ffa38dd8..e7df63c0 100644 --- a/mkdocs.yaml +++ b/mkdocs.yaml @@ -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