| Titre : | Manipulation robustness of collaborative filtering (2011) |
| Auteurs : | Benjamin Van Roy, Auteur ; Xiang Yan, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Management science (Vol. 56 N° 11, Novembre 2010) |
| Article en page(s) : | pp. 1911-1929 |
| Note générale : | Management |
| Langues : | Anglais |
| Index. décimale : | 658 (Organisation des entreprises. Techniques du commerce) |
| Tags : | Enabling technologies (includes artificial intelligence Machine learning, and data mining technologies) Probability Stochastic model applications Statistics Nonparametric |
| Résumé : | A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions and hence have become targets of manipulation by unscrupulous vendors. We demonstrate that nearest neighbors algorithms, which are widely used in commercial systems, are highly susceptible to manipulation and introduce new collaborative filtering algorithms that are relatively robust. |
| DEWEY : | 658 |
| ISSN : | 0025-1909 |
| En ligne : | http://mansci.journal.informs.org/cgi/content/abstract/56/11/1911 |
