Lucien Heitz, Runze Li, Oana Inel, Abraham Bernstein. Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations. In Mária Bieliková, Pavel Kordík, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni, editors, Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025. pages 792-801, ACM, 2025. [doi]
@inproceedings{HeitzLIB25,
title = {Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations},
author = {Lucien Heitz and Runze Li and Oana Inel and Abraham Bernstein},
year = {2025},
doi = {10.1145/3705328.3748148},
url = {https://doi.org/10.1145/3705328.3748148},
researchr = {https://researchr.org/publication/HeitzLIB25},
cites = {0},
citedby = {0},
pages = {792-801},
booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025},
editor = {Mária Bieliková and Pavel Kordík and Markus Schedl and Marco de Gemmis and Sole Pera and Rodrigo Alves and Olivier Jeunen and Vito Ostuni},
publisher = {ACM},
isbn = {979-8-4007-1364-4},
}