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FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks
To solve the information overload issue and enhance the user experience of various web applications, recommender systems aim to better model user interests and preferences. Knowledge Graphs (KGs), consisting of real-world objective facts and fruitful entities, play a vital role in recommender system...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734987/ https://www.ncbi.nlm.nih.gov/pubmed/36531970 http://dx.doi.org/10.1007/s10489-022-04300-x |