Ítem
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Aciar, Silvana Vanesa
Zhang, Debbie Simoff, Simeon Debenham, John |
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| 2007 | |
| Recommender systems attempt to predict items in which a user might be interested, given some information about the user’s and items’ profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology | |
| application/pdf | |
| Aciar, S., Zhang, D., Simoff, S., i Debenham, J. (2007). Informed Recommender: Basing Recommendations on Consumer Product Reviews. IEEE Intelligent Systems, 22, 3, 39-47. Recuperat 08 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4216979 | |
| http://hdl.handle.net/10256/2554 | |
| eng | |
| IEEE | |
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info:eu-repo/semantics/altIdentifier/doi/10.1109/MIS.2007.55 info:eu-repo/semantics/altIdentifier/issn/1541-1672 |
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| Tots els drets reservats | |
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Béns de consum
Comerç electrònic Mineria de dades Consumer goods Electronic commerce Data mining Sistemes recomanadors (Filtratge d’informació) Recommender systems (Information filtering) |
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| Informed recommender: basing recommendations on consumer product reviews | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
