SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders.
Ashmi Banerjee|Adithi Satish|Fitri Nur Aisyah|Wolfgang Wörndl|Yashar Deldjoo
| Anthology ID: | DBLP:conf/sigir/BanerjeeSAWD25 |
|---|---|
| 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: | 3743-3752 |
| URL: | https://doi.org/10.1145/3726302.3730321 |
| DOI: | https://doi.org/10.1145/3726302.3730321 |
| DBLP: | conf/sigir/BanerjeeSAWD25 |
| BibTeX: |
@inproceedings{banerjee-2025-synthtrips,
author = {Ashmi Banerjee and
Adithi Satish and
Fitri Nur Aisyah and
Wolfgang W\"{o}rndl and
Yashar Deldjoo},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Data Generation for Personalized Tourism Recommenders}},
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 = {3743--3752},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730321},
doi = {https://doi.org/10.1145/3726302.3730321}
}