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"Knowing me, knowing you": personalized explanations for a music recommender system

Authors: Martijn Millecamp, Cristina Conati, Katrien Verbert - User Modeling and User-Adapted Interaction 2022 cited by 61

Using thematic analysisin psychologyUsing thematic analysis in psychologyEach to his own: howdifferent users call fo…Each to his own: how different users call for different interaction methods in recommender systemsEffects of personalcharacteristics on musi…Effects of personal characteristics on music recommender systems with different levels of controllabilityControlling SpotifyRecommendations: Effect…Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User InterfacesEffects of IndividualTraits on…Effects of Individual Traits on Diversity-Aware Music Recommender User InterfacesTo explain or not toexplain: the effects of…To explain or not to explain: the effects of personal characteristics when explaining music recommendationsPersonalizedexplanations for hybrid…Personalized explanations for hybrid recommender systemsEffects of personalcharacteristics in…Effects of personal characteristics in control-oriented user interfaces for music recommender systemsLet Me Explain: Impactof Personal and…Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender SystemsWhat's in a User?Towards Personalising…What's in a User? Towards Personalising Transparency for Music Recommender InterfacesCogito ergo quid? TheEffect of Cognitive…Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender SystemPersonalisingExplainable…Personalising Explainable Recommendations: Literature and ConceptualisationExplaining User Modelswith Different Levels o…Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User StudyJustification ofRecommender Systems…Justification of Recommender Systems Results: A Service-based ApproachService-AwarePersonalized Item…Service-Aware Personalized Item RecommendationJustification vs.Transparency: Why and…Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender SystemXAI to Increase theEffectiveness of an…XAI to Increase the Effectiveness of an Intelligent Pedagogical AgentGroup recommendersystems for tourism: ho…Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?Initial results onpersonalizing…Initial results on personalizing explanations of AI hints in an ITSContent-driven MusicRecommendation…Content-driven Music Recommendation: Evolution, State of the Art, and ChallengesThe Influence ofCuriosity Traits and…The Influence of Curiosity Traits and On-Demand Explanations in AI-Assisted Decision-MakingSupplemental Materialfor Whom Do Explanation…Supplemental Material for Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems EvaluationVisual or Textual:Effects of Explanation…Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender SystemExplanation Demand as aTrait, Not a State…Explanation Demand as a Trait, Not a State: Implications for User Modeling in Adaptive Systems"Knowing me, knowingyou": personalized…"Knowing me, knowing you": personalized explanations for a music recommender systemEarlier referencesFocus paperCiting papersOlderNewer

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