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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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| Publicado no: | Advances in Information Retrieval |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7148017/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-45442-5_27 |
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