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Leveraging personalized diversity level for recommendations with knowledge graph.

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Title: Leveraging personalized diversity level for recommendations with knowledge graph.
Authors: Ren, Baofeng1, ren.baofeng.817@s.kyushu-u.ac.jp, Yang, Tianyuan1, yang.tianyuan.791@s.kyushu-u.ac.jp, Ma, Boxuan2, boxuan@artsci.kyushu-u.ac.jp, Konomi, Shin'ichi2, konomi@artsci.kyushu-u.ac.jp
Source: Journal of Intelligent Information Systems; Apr2026, Vol. 64 Issue 2, p533-557, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193495184
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Information+Systems%22">Journal of Intelligent Information Systems</searchLink>; Apr2026, Vol. 64 Issue 2, p533-557, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193495184
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      – Type: doi
        Value: 10.1007/s10844-025-01013-8
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 533
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      – TitleFull: Leveraging personalized diversity level for recommendations with knowledge graph.
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            NameFull: Ren, Baofeng
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            NameFull: Yang, Tianyuan
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            NameFull: Ma, Boxuan
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            – D: 01
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              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 64
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