Jaime Arguello, Anita Crescenzi. Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects. In Yi Fang 0008, Yi Zhang 0001, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo, editors, Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. pages 177-184, ACM, 2019. [doi]
@inproceedings{ArguelloC19-0,
title = {Using Principal Component Analysis to Better Understand Behavioral Measures and their Effects},
author = {Jaime Arguello and Anita Crescenzi},
year = {2019},
doi = {10.1145/3341981.3344222},
url = {https://doi.org/10.1145/3341981.3344222},
researchr = {https://researchr.org/publication/ArguelloC19-0},
cites = {0},
citedby = {0},
pages = {177-184},
booktitle = {Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019},
editor = {Yi Fang 0008 and Yi Zhang 0001 and James Allan and Krisztian Balog and Ben Carterette and Jiafeng Guo},
publisher = {ACM},
isbn = {978-1-4503-6881-0},
}