| 摘要 |
<p>A TV viewer profile initializer for reducing the time it takes for an implicit profiler-based TV recommender to produce accurate TV recommendations. The profiles initializer utilizes stereotype profiles from a substantial pool of TV viewing behavior of a representative number of TV viewers. By applying clustering methods to such data, stereotype profiles can emerge. New viewers are then be offered a selection of stereotype profiles to choose from to initialize their own personal TV viewing profile. Thus, a single choice will suffice to provide a predictable TV show recommender that is presumably fairly close to a viewer's own preferences. After this initialization, the profile can be adapted by the user's own viewing behavior to migrate from the initial stereotype towards a more accurate profile of the user.</p> |
