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Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems

Sanne Vrijenhoek, Savvina Daniil, Jorden Sandel, Laura Hollink

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Abstract

Diversity is a commonly known principle in the design of recommender systems, but also ambiguous in its conceptualization. Through semi-structured interviews we explore how practitioners at three different public service media organizations in the Netherlands conceptualize diversity within the scope of their recommender systems. We provide an overview of the goals that they have with diversity in their systems, which aspects are relevant, and how recommendations should be diversified. We show that even within this limited domain, conceptualization of diversity greatly varies, and argue that it is unlikely that a standardized conceptualization will be achieved. Instead, we should focus on effective communication of what diversity in this particular system means, thus allowing for operationalizations of diversity that are capable of expressing the nuances and requirements of that particular domain.

Topics & Concepts

ConceptualizationDiversity (politics)Recommender systemScope (computer science)Computer scienceDomain (mathematical analysis)Knowledge managementFocus (optics)Service (business)Data scienceWorld Wide WebArtificial intelligenceSociologyBusinessMarketingMathematicsMathematical analysisProgramming languageOpticsPhysicsAnthropologyRecommender Systems and TechniquesAdvanced Bandit Algorithms ResearchExpert finding and Q&A systems