The multisided complexity of fairness in recommender systems.
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| Title: | The multisided complexity of fairness in recommender systems. |
|---|---|
| Authors: | Sonboli, Nasim1, Burke, Robin1, robin.burke@colorado.edu, Ekstrand, Michael2, Mehrotra, Rishabh3 |
| Source: | AI Magazine; Summer2022, Vol. 43 Issue 2, p164-176, 13p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 157608939 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157608939 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/aaai.12054 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 164 Titles: – TitleFull: The multisided complexity of fairness in recommender systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sonboli, Nasim – PersonEntity: Name: NameFull: Burke, Robin – PersonEntity: Name: NameFull: Ekstrand, Michael – PersonEntity: Name: NameFull: Mehrotra, Rishabh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Summer2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 07384602 Numbering: – Type: volume Value: 43 – Type: issue Value: 2 Titles: – TitleFull: AI Magazine Type: main |
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