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A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.

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Title: A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.
Authors: Bellini, Vito1, vitob@amazon.com, Di Sciascio, Eugenio2, Donini, Francesco Maria3, Pomo, Claudio2, claudio.pomo@poliba.it, Ragone, Azzurra4, Schiavone, Angelo2
Source: Journal of Intelligent Information Systems; Jun2024, Vol. 62 Issue 3, p787-807, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Information+Systems%22">Journal of Intelligent Information Systems</searchLink>; Jun2024, Vol. 62 Issue 3, p787-807, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178293170
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        Value: 10.1007/s10844-023-00830-z
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 787
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      – TitleFull: A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders.
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            NameFull: Bellini, Vito
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            NameFull: Di Sciascio, Eugenio
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            NameFull: Donini, Francesco Maria
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            NameFull: Pomo, Claudio
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 62
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