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} }