Publication | Closed Access
Effective explanations of recommendations
158
Citations
7
References
2007
Year
Unknown Venue
EngineeringSocial InfluenceCommunicationFocus GroupsInformation RetrievalManagementContent AnalysisGeneral PropertiesPredictive AnalyticsKnowledge DiscoveryUser ExperienceConversational Recommender SystemCold-start ProblemMarketingInformation Filtering SystemGroup RecommendersSocial ComputingInteractive MarketingPersuasionCollaborative FilteringEffective ExplanationsUser Expectations
This paper characterizes general properties of useful, or Effective, explanations of recommendations. It describes a methodology based on focus groups, in which we elicit what helps moviegoers decide whether or not they would like a movie. Our results highlight the importance of personalizing explanations to the individual user, as well as considering the source of recommendations, user mood, the effects of group viewing, and the effect of explanations on user expectations.
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