SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores.

Patrik Dokoupil|Ladislav Peska|Ludovico Boratto


Anthology ID:DBLP:conf/sigir/DokoupilPB24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:988-995
URL:https://doi.org/10.1145/3626772.3657863
DOI:https://doi.org/10.1145/3626772.3657863
DBLP:conf/sigir/DokoupilPB24
BibTeX:
@inproceedings{dokoupil-2024-smrs, author = {Patrik Dokoupil and Ladislav Peska and Ludovico Boratto}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {988--995}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657863}, doi = {https://doi.org/10.1145/3626772.3657863} }