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Conference Paper: RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

TitleRecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
Authors
Issue Date2022
PublisherInternational Joint Conferences on Artificial Intelligence Organization.
Citation
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, p. 3466-3472 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/321066
ISBN

 

DC FieldValueLanguage
dc.contributor.authorTian, Y-
dc.contributor.authorZhang, C-
dc.contributor.authorGuo, Z-
dc.contributor.authorHuang, C-
dc.contributor.authorMetoyer, R-
dc.contributor.authorChawla, N-
dc.date.accessioned2022-11-01T04:46:20Z-
dc.date.available2022-11-01T04:46:20Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the Thirty-First International Joint Conference on Artificial Intelligence, p. 3466-3472-
dc.identifier.isbn9781956792003-
dc.identifier.urihttp://hdl.handle.net/10722/321066-
dc.languageeng-
dc.publisherInternational Joint Conferences on Artificial Intelligence Organization. -
dc.relation.ispartofProceedings of the Thirty-First International Joint Conference on Artificial Intelligence-
dc.titleRecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation-
dc.typeConference_Paper-
dc.identifier.emailHuang, C: chuang7@hku.hk-
dc.identifier.authorityHuang, C=rp02897-
dc.identifier.doi10.24963/ijcai.2022/481-
dc.identifier.hkuros341123-
dc.identifier.spage3466-
dc.identifier.epage3472-
dc.publisher.placeCalifornia-

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