Improving the performance of web service recommenders using semantic similarity
This paper addresses issues related to recommending Semantic Web Services (SWS) using collaborative filtering (CF). The focus is on reducing the problems arising from data sparsity, one of the main difficulties for CF algorithms. Two CF algorithms are presented and discussed: a memory-based algorith...
Guardado en:
| Autores principales: | Adán Coello, Juan Manuel, Tobar, Carlos Miguel, Yuming, Yang |
|---|---|
| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/41804 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct14-3.pdf |
| Aporte de: |
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