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Recommender System Based on Consumer Product Reviews

Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10256/2555

Autor/a

Aciar, Silvana Vanesa

Zhang, Debbie

Simoff, Simeon

Debenham, John

Fecha de publicación

2006



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Resumen

Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras

Tipo de documento

Artículo

Lengua

Inglés

Materias y palabras clave

Béns de consum; Comerç electrònic; Consumidors -- Conducta; Mineria de dades; Sistemes experts (Informàtica); Consumer goods; Consumer behavior; Data mining; Electronic commerce; Expert systems (Computer science); Sistemes recomanadors (Filtratge d'informació); Recommender systems (Information filtering)

Publicado por

IEEE

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info:eu-repo/semantics/altIdentifier/doi/10.1109/WI.2006.144

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