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Conducting Recommender Systems User Studies Using POPROX
Conference proceeding   Open access

Conducting Recommender Systems User Studies Using POPROX

Robin Burke, Joseph Konstan and Michael Ekstrand
Proceedings of the 18th ACM Conference on Recommender Systems, pp 1277-1278
08 Oct 2024
DOI: https://doi.org/10.1145/3640457.3687092
url
https://doi.org/10.1145/3640457.3687092View
Published, Version of Record (VoR) Open CC BY V4.0

Abstract

Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods -- User studies Information systems -- Information retrieval -- Retrieval tasks and goals -- Recommender systems
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. The purpose of this tutorial is to introduce the platform and its capabilities to prospective research users while walking through the implementation of a sample experiment so that researchers can proceed to propose and carry out experiments on the POPROX platform.

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Computer Science, Theory & Methods
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