Abstract
This tutorial provides practical training in designing and conducting online user experiments with recommender systems, and in statistically analyzing the results of such experiments. It covers the development of a research question and hypotheses, the selection of study participants, the manipulation of system aspects and measurement of behaviors, perceptions and user experiences, and the evaluation of subjective measurement scales and study hypotheses. Interested parties can find the slides, example datset, and other resources at https://www.usabart.nl/QRMS/.
| Original language | English (US) |
|---|---|
| Title of host publication | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 1272-1273 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798400705052 |
| DOIs | |
| State | Published - Oct 8 2024 |
| Event | 18th ACM Conference on Recommender Systems, RecSys 2024 - Bari, Italy Duration: Oct 14 2024 → Oct 18 2024 |
Publication series
| Name | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
|---|
Conference
| Conference | 18th ACM Conference on Recommender Systems, RecSys 2024 |
|---|---|
| Country/Territory | Italy |
| City | Bari |
| Period | 10/14/24 → 10/18/24 |
Funding
This tutorial is supported by the U.S. National Science Foundation under Grant No. 22-32551.
Keywords
- recommender systems
- user studies
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Software
- Control and Systems Engineering
