Shopper intent prediction from clickstream e-commerce data with minimal browsing information

We address the problem of user intent prediction from clickstream data of an e-commerce website via two conceptually different approaches: a hand-crafted feature-based classification and a deep learning-based classification. In both approaches, we deliberately coarse-grain a new clickstream propriet...

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Detalles Bibliográficos
Autores principales: Requena, Borja, Cassani, Giovanni, Tagliabue, Jacopo, Greco, Ciro, Lacasa, Lucas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550603/
https://www.ncbi.nlm.nih.gov/pubmed/33046722
http://dx.doi.org/10.1038/s41598-020-73622-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550603/
https://www.ncbi.nlm.nih.gov/pubmed/33046722
http://dx.doi.org/10.1038/s41598-020-73622-y

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