Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science?
Wing Yan Li|Zeqiang Wang|Jon Johnson|Suparna De
| Anthology ID: | DBLP:conf/sigir/LiWJD25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2946-2950 |
| URL: | https://doi.org/10.1145/3726302.3730164 |
| DOI: | https://doi.org/10.1145/3726302.3730164 |
| DBLP: | conf/sigir/LiWJD25 |
| BibTeX: |
@inproceedings{li-2025-information,
author = {Wing Yan Li and
Zeqiang Wang and
Jon Johnson and
Suparna De},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Are Information Retrieval Approaches Good at Harmonising Longitudinal Surveys in Social Science?}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {2946--2950},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730164},
doi = {https://doi.org/10.1145/3726302.3730164}
}