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A multi-intent based multi-policy relay contrastive learning for sequential recommendation
Sequential recommendations have become a trending study for their ability to capture dynamic user preference. However, when dealing with sparse data, they still fall short of expectations. The recent contrastive learning (CL) has shown potential in mitigating the issue of data sparsity. Many item re...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455276/ https://www.ncbi.nlm.nih.gov/pubmed/36091987 http://dx.doi.org/10.7717/peerj-cs.1088 |