Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records.

Maryam Tabar|Anusha Abdulla|J. Andrew Petersen|Dongwon Lee


Anthology ID:DBLP:conf/wsdm/TabarAP025
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:885-894
URL:https://doi.org/10.1145/3701551.3703549
DOI:https://doi.org/10.1145/3701551.3703549
DBLP:conf/wsdm/TabarAP025
BibTeX:
@inproceedings{tabar-2025-predicting, author = {Maryam Tabar and Anusha Abdulla and J. Andrew Petersen and Dongwon Lee}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {885--894}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703549}, doi = {https://doi.org/10.1145/3701551.3703549} }