Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature.

Matthias Braunhofer|Grzegorz Kukla|Abhishek Arun


Anthology ID:DBLP:conf/wsdm/BraunhoferKA25
Volume:Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Year:2025
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1088-1089
URL:https://doi.org/10.1145/3701551.3706129
DOI:https://doi.org/10.1145/3701551.3706129
DBLP:conf/wsdm/BraunhoferKA25
BibTeX:
@inproceedings{braunhofer-2025-compliant, author = {Matthias Braunhofer and Grzegorz Kukla and Abhishek Arun}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {1088--1089}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3706129}, doi = {https://doi.org/10.1145/3701551.3706129} }