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CFSH: Factorizing sequential and historical purchase data for basket recommendation
To predict what products customers will buy in next transaction is an important task. Existing work in next-basket prediction can be summarized into two paradigms. One is the item-centric paradigm, where sequential patterns are mined from customers’ transactional data and leveraged for prediction. H...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179207/ https://www.ncbi.nlm.nih.gov/pubmed/30303962 http://dx.doi.org/10.1371/journal.pone.0203191 |