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Fig. 5.6 A screenshot of our movie recommender. The system provides detailed explanations based
on the semantic dataset in order to improve the confidence in the suggestions
shown as very useful since this filter allows users sorting out movies almost everyone
knows and exploring less popular movies (probably unknown to the user). Figure 5.7
shows the options for tuning the requests.
Fig. 5.7 The screenshot shows the options for tuning the request. Users might assign specific
weights to each recommender agents or define preferences according to rating and popularity
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