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Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings

Nowadays, item recommendation is an increasing concern for many companies. Users tend to be more reactive than proactive for solving information needs. Recommendation accuracy became the most studied aspect of the quality of the suggestions. However, novel and diverse suggestions also contribute to...

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Detalles Bibliográficos
Autores principales: Landin, Alfonso, Parapar, Javier, Barreiro, Álvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148017/
http://dx.doi.org/10.1007/978-3-030-45442-5_27