By Tsvi Kuflik, Shlomo Berkovsky, Francesca Carmagnola, Dominikus Heckmann, Antonio Krüger
Ubiquitous consumer modeling differs from standard person modeling through 3 extra recommendations: ongoing modeling, ongoing sharing, and ongoing exploitation. structures that proportion their person types will enhance the assurance, the extent of element, and the reliability of the built-in person versions and hence permit higher services of variation. Ubiquitous consumer modeling implies new demanding situations of interchangeability, scalability, scrutability, and privacy.
This quantity provides result of a sequence of workshops relating to Ubiquitous consumer Modeling considering that 2003 and extra workshops at a variety of different meetings e.g. on consumer Modeling and Adaptive Hypermedia within the final 4 years.
The eight revised complete papers provided have been rigorously reviewed and chosen from the easiest lectures given on the workshops and have been considerably prolonged to be incorporated within the book.
Read Online or Download Advances in Ubiquitous User Modelling: Revised Selected Papers PDF
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Extra resources for Advances in Ubiquitous User Modelling: Revised Selected Papers
Mediation of user models for enhancing personalized services delivery. User Model. User-Adapt. Interact. (2007) (Published online) 31. : A semantics-based dialogue for interoperability of user-adaptive systems in a ubiquitous environment. , Paliouras, G. ) UM 2007. LNCS (LNAI), vol. 4511, pp. 309–313. Springer, Heidelberg (2007) 32. : From User Models to Interoperable User Models. PhD thesis, University of Turin, Italy (December 2007) 36 F. Carmagnola 33. : User identification for cross-system personalisation.
A possible solution (avoiding the need to bore Mary by directly asking her for the missing information) is to exchange information about her with other user-adaptive systems operating in a similar context, which know Mary because she has interacted also with them. To do so, first of all, UbiquiTO should find out these systems. This means that UbiquiTO’s developers have to explicitly encode this information in the system. For example, UbiquiTO knows about iCITY , a social recommender of events occurring in Turin.
It supports the goal of refinement of the request8 . The rationale of the game is the use of concept properties to disambiguate the meaning of the requested topic, since two concepts sharing the same properties have a high probability of being the same concept. The responder can use this game to disambiguate the exchanged concept, when systems do not share the same knowledge model. The strategies that determine the content of the clarification dialogue consists in disambiguating the concept starting from identifying its features.