Work

Conducting Recommender Systems User Studies Using POPROX

Year: 2024

Type: conference-paper

Abstract: 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.

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3640457.3687092

Authors: Robin Burke, Joseph Konstan, Michael Ekstrand

Institutions: University of Colorado Boulder, University of Minnesota, Drexel University

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4403220290

FWCI: 1.604

Cites:

Cited by: 4

Related to: 10