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Intent with knowledge-aware multiview contrastive learning for recommendation

Intent with knowledge-aware multiview contrastive learning for recommendation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90e306da033c49879c0f7b2046aca83f

Intent with knowledge-aware multiview contrastive learning for recommendation

About this item

Full title

Intent with knowledge-aware multiview contrastive learning for recommendation

Publisher

Cham: Springer International Publishing

Journal title

Complex & Intelligent Systems, 2024-02, Vol.10 (1), p.1349-1363

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

User–item interactions on e-commerce platforms involve various intents, such as browsing and purchasing, which require fine-grained intent recognition. Existing recommendation methods incorporate latent intent into user–item interactions; however, they overlook important considerations. First, they fail to integrate intents with semantic informatio...

Alternative Titles

Full title

Intent with knowledge-aware multiview contrastive learning for recommendation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_90e306da033c49879c0f7b2046aca83f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90e306da033c49879c0f7b2046aca83f

Other Identifiers

ISSN

2199-4536

E-ISSN

2198-6053

DOI

10.1007/s40747-023-01222-0

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