Boosting Factorization Machines via Saliency-Guided Mixup
Factorization machines (FMs) are widely used in recommender systems due to their adaptability and ability to learn from sparse data. However, for the ubiquitous non-interactive features in sparse data, existing FMs can only estimate the parameters corresponding to these features via the inner produc...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 6 vom: 16. Mai, Seite 4443-4459
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| 1. Verfasser: |
Wu, Chenwang
(VerfasserIn) |
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| Weitere Verfasser: |
Lian, Defu,
Ge, Yong,
Zhou, Min,
Chen, Enhong,
Tao, Dacheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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