A Study of Explainability Features to Scrutinize Faceted Filtering Results.
Jiaming Qu|Jaime Arguello|Yue Wang
| Anthology ID: | DBLP:conf/cikm/QuA021 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1498-1507 |
| URL: | https://doi.org/10.1145/3459637.3482409 |
| DOI: | https://doi.org/10.1145/3459637.3482409 |
| DBLP: | conf/cikm/QuA021 |
| BibTeX: |
@inproceedings{qu-2021-study,
author = {Jiaming Qu and
Jaime Arguello and
Yue Wang},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{A Study of Explainability Features to Scrutinize Faceted Filtering Results}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {1498--1507},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482409},
doi = {https://doi.org/10.1145/3459637.3482409}
}