Conducting Recommender Systems User Studies Using POPROX
The Platform for OPen Recommendation and Online eXperimentation (POPROX) is a new resource to allow RecSys researchers to conduct online user research without having to develop all of the necessary infrastructure and recruit users. Our first domain is personalized news recommendations – POPROX 1.0 provides a daily newsletter (with content from the Associated Press) to users who have already consented to participate in research, along with interfaces and protocols to support researchers in conducting studies that assign subsets of users to various experimental algorithms and/or interfaces.
Authors
- Michael D. Ekstrand (ORCID: https://orcid.org/0000-0003-2467-0108)
- Joseph A. Konstan (ORCID: https://orcid.org/0000-0002-7788-2748)
- Robin Burke (ORCID: https://orcid.org/0000-0001-5766-6434)
Institutions
- University of Minnesota (US)
- University of Colorado Boulder (US)
- Drexel University (US)
Publication Details
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1145/3640457.3687092
- Citations
- 1
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.78