User Personality and User Satisfaction with Recommender Systems
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DOI: 10.1007/s10796-017-9782-y
Abstract: In this study, we show that individual users’ preferences for the level of diversity, popularity, and serendipity in recommendation lists cannot be inferred from their ratings alone. We demonstrate that we can extract strong signals… read more here.
Keywords: diversity popularity; recommender systems; personality; popularity serendipity ... See more keywords