That Recommender Systems LabDescription
In this project, we are studying web-based information gathering and analysis workflows and developing tools to store, abstract, and recommend workflows to support journalists and others engaged in such tasks.
Job opportunity
CU student wanted for part-time position working on the...
Join our paid research study
Are you a monetized content creator on TikTok, Instagram, or YouTube? We want to know how social media platforms show you data about how your content is recommended, and what kinds of information you would like to know from the platform!
Fill out the interest form to...
Description
POPROX is an experimental platform for recommendation research. It's a cloud-based system where researchers can test new recommendation algorithms and interfaces. That Recommender Systems Lab is collaborating with four other universities and other partners to design, implement and op...
Description
In this project, we have proposed a model to formalize multistakeholder fairness in recommender systems as a two stage social choice problem. We express recommendation fairness as a novel combination of an allocation and an aggregation problem, which integrate both fairness concerns an...
Description
The SMORES project is designed to simulate "The Friendly Algorithm Store" , an ecosystem where users can choose between multiple recommendation algorithms developed by various third-party entities. This project seeks to explore the implications, benefits, and limitations of su...