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they close the roller blinds and enjoy the cookies. The gramophone plays film music
from Hans Zimmer.
Exhausted from the outdoor actives and thinking about the nice day the children
make plans for spending the evening. Carl suggests playing bridge. Clara who never
has luck in card games is not happy about this idea. She prefers watching TV. She
takes the newspaper and reads the suggestions. None of the current programs seems
interesting to her. Listing to the music, she gets an idea: They could test the new
Semantic-Movie recommender and watch the suggested movie using a streaming
service. So, she says happily: “Let's test the semantic movie recommender and watch
a movie with music composed by Hans Zimmer.” Clara likes the idea of watching
a movie, but it must be an action movie. She says: “Yes. Let's watch a funny action
movie!” Suzanne is afraid that her children (Carl and Clara) will choose a movie not
well-suited for kids. But she wants to give the new semantic movie recommender,
because she has heard that the Semantic-Movie recommender application considers
different types of preferences and has a special function for filtering out movies based
on the movie's age classification. The father loves fantasy movies. Since everyone
has specific preferences but they all would like to spend the evening together as
family they hope that there is a movie matching all the preferences. The mother
has bad experiences with recommender system, providing in a suggestion based on
mysterious algorithm nobody understands. She would like to understand why the
suggested movies are really matching their aggregated preferences.
5.1 Introduction
The situation that the family is facing is commonly referred to as information over-
load. The overwhelming availability of products, movies, and books makes it difficult
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