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This allows these applications to use different devices and modalities to present content to the user Initially, no information about preferred modality exists for the user Thus, the Modality Function will be able to make only limited inferences for proposing the most suitable modality to the user For instance, it will be able to propose high-quality and high-bandwidth video on the large screen television, or lower-quality lowbandwidth video on the user s phone while at home, but will not have information about the preferred device However, when the user makes a manual modality selection, it will be sent to the Context Gathering and Inference component, which in turn will create a Usage Record This record will store the current user context and modality selection.

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Progressively, the learning components of the Recommender will be able to create a model of the user regarding her modality preferences, and this model will be stored by the Individual Pro le Manager Then, when the user is again in a similar context, the inference components of the Recommender will be able to use this model and recommend modalities to the Modality Function For instance, the system may have learned that at home the preferred device is the television, while in the car the preferred device is the handsfree kit and the preferred modality is audio A similar process will take place for all applications that provide information to the CGI and make use of the Recommender API Note that the personalisation process is separate from the applications Applications only have to provide information about user actions, and will get no request recommendations related to those actions.

CPAN, the directory of Perl modules, lists quite a few Gmail-related modules, one of which is shown in Figure 7-2. But at time of this writing, the only one working is Allen Holman s Mail::Webmail::Gmail.

(8:29b)

Usage Records link actions with context information that have been processed by the CGI (not raw context information), which allows an easier generalisation of the knowledge learned about the user In turn, the raw context information is provided by any Context Provider the CGI has access to, without applications having to take care of this This allows applications to better adapt to the user by using all available information, without requiring application developers to take care of this by themselves..

A more in uential theory, perhaps, has been that of Donald Hebb (1949) Hebb suggested the necessity of distinguishing among different intelligences Intelligence A is innate potential It is biologically determined and represents the capacity for development Hebb described it as the possession of a good brain and a good neural metabolism (p 294) Intelligence B is the functioning of the brain in which development has occurred It represents an average level of performance by a person who is partially grown Although some inference is necessary in determining either intelligence, Hebb suggested that inferences about intelligence A are far less direct than inferences about intelligence B A further distinction could be made with regard to Intelligence C, which is the score one obtains on an intelligence test This intelligence is Boring s intelligence as the tests test it.