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The research by [20] on clustering a large number of documents using an interactive recommender system shows that users can sort documents into clusters significantly faster with an interactive recommender system than correcting the output of a static automated method.
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Learning using an interactive approach [ 16].
Randomisation was performed centrally using an interactive voice-response system.
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These partitioned user sets combined with affiliated contextual data and the history of activities allows us to use a context-aware recommender system (e.g. [39, 40]).
Teran et al. [24] used a fuzzy recommender system for e-elections in e-government to inform citizens about candidates and enhance their participation in democratic processes.
In this research we investigated the role of user controllability on personalized systems by implementing and studying a novel interactive recommender interface, SetFusion.
One applicant used a more interactive approach.
Gradual forgetting is studied in [11], where the author uses a recommender system to study the proposed method in the context of drifting user preferences.
Two-way analyses of variance (ANOVA) with repeated measures (pre/posttest by interactive/non-interactive format) were employed to determine the change between pretest and posttest scores using interactive versus non-interactive modules as a between subjects' factor.
was used to provide an interactive presentation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com