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Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors †
Recommendation services bear great importance in e-commerce, shopping, tourism, and social media, as they aid the user in navigating through the items that are most relevant to their needs. In order to build recommender systems, organizations log the item consumption in their user sessions by using...
Autores principales: | Kelen, Domokos, Daróczy, Bálint, Ayala-Gómez, Frederick, Ország, Anna, Benczúr, András |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720552/ https://www.ncbi.nlm.nih.gov/pubmed/31405108 http://dx.doi.org/10.3390/s19163498 |
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