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- W2224644229 abstract "This paper introduces a flexible algorithm to derive users' preferences in a mobile and distributed system. Such profiles are implicitly computed from users' spatial and interactive behaviours. A campus visit aid illustrates the benefits of the algorithm within unobtrusive recommender systems. The approach provides a set of profiles (personal, group-based and hybrid) to adapt the presentation of campus services and suit users' immediate needs and interests. A Java-based simulation framework allows designers to customize the model before in situ validation." @default.
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- W2224644229 date "2010-05-07" @default.
- W2224644229 modified "2023-10-04" @default.
- W2224644229 title "Algorithme de recommandation adaptable pour la personnalisation d'un système mobile" @default.
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