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Descripción
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| This work presents an alternative approach (Genetic Algorithms approach) to traditional treatment of Recommender Systems (RSs). The work examines genetic algorithms possibilities to offer adaptive characteristics to these systems trough learning. The main goal, in addition to give a general view about RSs capabilities and possibilities, it is to provide a new example mechanism for to extend RSs learning capabilities (from user?s personal characteristics), with the purpose of improve the effectiveness at time of to find recommendations and appropriate suggestions for particular individuals. | |
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Internacional
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Si |
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DOI
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10.1007/978-3-319-03674-8_30 |
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Edición del Libro
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Editorial del Libro
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Springer International Publishing |
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ISBN
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978-3-319-03673-1 |
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Serie
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312 |
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Título del Libro
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Advance Trends in Soft Computing |
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Desde página
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309 |
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Hasta página
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326 |