Adaptive interfaces and agents
作者： Anthony Jameson
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摘要: As its title suggests, this chapter covers a broad range of interactive systems. But they all have one idea in common: that it can be worthwhile for system to learn something about each individual user and adapt behavior them some nontrivial way. An example will familiar most readers is shown Figure 15.1. A visitor amazon.com has just explicitly requested recommendations, without having specified particular type product. During the user’s past visits, AMAZON learned his interests, on basis items he purchased ratings made. Therefore, make recommendations are especially likely appeal user.
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