Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data.
Jiaman He|Zikang Leng|Dana McKay|Johanne R. Trippas|Damiano Spina
| Anthology ID: | DBLP:conf/sigir/HeLMTS25 |
|---|---|
| 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: | 2602-2606 |
| URL: | https://doi.org/10.1145/3726302.3730174 |
| DOI: | https://doi.org/10.1145/3726302.3730174 |
| DBLP: | conf/sigir/HeLMTS25 |
| BibTeX: |
@inproceedings{he-2025-characterising,
author = {Jiaman He and
Zikang Leng and
Dana McKay and
Johanne R. Trippas and
Damiano Spina},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data}},
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 = {2602--2606},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730174},
doi = {https://doi.org/10.1145/3726302.3730174}
}