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dc.contributor.authorSEONGKU KANGSEONGKU-
dc.contributor.authorWONBIN KWEON-
dc.contributor.authorLEE DONGHA-
dc.contributor.authorJ Lian-
dc.contributor.authorX Xie-
dc.contributor.authorYU HWANJO-
dc.date.accessioned2023-02-17T01:40:28Z-
dc.date.available2023-02-17T01:40:28Z-
dc.date.created2023-02-16-
dc.date.issued2023-05-01-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/115109-
dc.languageEnglish-
dc.publisherACM-
dc.relation.isPartOfTHE Web Conference 2023(WWW 2023)-
dc.titleDistillation from Heterogeneous Models for Top-K Recommendation-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationTHE Web Conference 2023(WWW 2023)-
dc.citation.conferenceDate2023-04-30-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceAUSTIN-
dc.citation.titleTHE Web Conference 2023(WWW 2023)-
dc.contributor.affiliatedAuthorSEONGKU KANGSEONGKU-
dc.contributor.affiliatedAuthorWONBIN KWEON-
dc.contributor.affiliatedAuthorYU HWANJO-
dc.description.journalClass1-
dc.description.journalClass1-

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