Popularity bias in personality perspective: An analysis of how personality traits expose individuals to the unfair recommendation

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dc.authorid0000-0003-3818-6712tr
dc.contributor.authorYalcin, Emre
dc.contributor.authorBilge, Alper
dc.date.accessioned2024-02-29T08:59:04Z
dc.date.available2024-02-29T08:59:04Z
dc.date.issuedŞubat, 2023tr
dc.departmentMühendislik Fakültesitr
dc.description.abstractRecommender systems are subject to well-known popularity bias issues, that is, they expose frequently rated items more in recommendation lists than less-rated ones. Such a problem could also have varying effects on users with different gender, age, or rating behavior, which significantly diminishes the users' overall satisfaction with recommendations. In this paper, we approach the problem from the view of user personalities for the first time and discover how users are inclined toward popular items based on their personality traits. More importantly, we analyze the potential unfairness concerns for users with different personalities, which the popularity bias of the recommenders might cause. To this end, we split users into groups of high, moderate, and low clusters in terms of each personality trait in the big-five factor model and investigate how the popularity bias impacts such groups differently by considering several criteria. The experiments conducted with 10 well-known algorithms of different kinds have concluded that less-extroverted people and users avoiding new experiences are exposed to more unfair recommendations regarding popularity, despite being the most significant contributors to the system. However, discrepancies in other qualities of the recommendations for these user characteristics, such as accuracy, diversity, and novelty, vary depending on the utilized algorithm.tr
dc.identifier.citationYalcin, E., & Bilge, A. (2023). Popularity bias in personality perspective: An analysis of how personality traits expose individuals to the unfair recommendation. Concurrency and Computation: Practice and Experience, 35(9), e7647.tr
dc.identifier.doi10.1002/cpe.7647en_US
dc.identifier.issue9tr
dc.identifier.scopus2-s2.0-85149316994en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpagee7647tr
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1002/cpe.7647
dc.identifier.urihttps://hdl.handle.net/20.500.12418/14462
dc.identifier.volume35tr
dc.identifier.wosWOS:000940087400001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileytr
dc.relation.ispartofConcurrency and Computation: Practice and Experienceen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.relation.tubitak122E040
dc.rightsinfo:eu-repo/semantics/closedAccesstr
dc.subjectPersonality traitstr
dc.subjectPopularity biastr
dc.subjectRecommender systemstr
dc.subjectUnfairnesstr
dc.subjectLong-tail recommendationtr
dc.titlePopularity bias in personality perspective: An analysis of how personality traits expose individuals to the unfair recommendationen_US
dc.typeArticleen_US

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