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Post-Userist Recommender Systems : A Manifesto
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We define userist recommendation as an approach to recommender systems framed solely in terms of the relation between the user and system. Post-userist recommendation posits a larger field of relations in which stakeholders are embedded and distinguishes the recommendation function (which can potentially connect creators with audiences) from generative media. We argue that in the era of generative media, userist recommendation becomes indistinguishable from personalized media generation, and therefore post-userist recommendation is the only path forward for recommender systems research.
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Cited by 2 Pith papers
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Recommending With, Not For: Co-Designing Recommender Systems for Social Good
Recommender systems for social good should be co-designed with the communities they affect, across problem definition, design, evaluation, and monitoring.
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We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Recommender systems research is still dominated by benchmark optimization and flawed evaluation assumptions, and this essay argues the field must adopt epistemic humility and human-centered goals.
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