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SIRUP enhancing S erendipity I n R ecommendations via U ser P erceptions

SIRUP enhancing S erendipity I n R ecommendations via U ser P erceptions. Computer Science Lora Aroyo Paul Groth Valentina Maccatrozzo Esra Atesçelik. Communication Science Allison Eden Tilo Hartmann Britt Hoeksema. Defining Serendipity.

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SIRUP enhancing S erendipity I n R ecommendations via U ser P erceptions

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  1. SIRUPenhancingSerendipityIn Recommendations via User Perceptions Computer Science LoraAroyo Paul Groth ValentinaMaccatrozzo EsraAtesçelik CommunicationScience Allison Eden TiloHartmann Britt Hoeksema

  2. DefiningSerendipity Serendipity is making a pleasant and relevantdiscoverythat was unexpected

  3. Theoretical model program Complexity + program Novelty program Familiarity + - Interest program Serendipity recommendation program Conflict + user Coping potential ∩

  4. Testingtheoretical model program Complexity + program Novelty program Familiarity + + Interest program Serendipity recommendation program Conflict + user Coping potential +

  5. Preliminary studies • Pre-study 1: PerceivedComplexity • Pre-study 2: PerceivedFamiliarity • Pre-study 3: Perceived Conflict • AmazonMechanical Turk • 500 U.S. Participants

  6. Preliminary studies

  7. Preliminary studies

  8. Tests of the indicators: Complexity + number of Credits program Complexity number of Actors + program Familiarity program Familiarity number of Categories + program Conflict program Conflict

  9. Tests of the indicators: Complexity

  10. Tests of the indicators: Complexity + number of Credits program Complexity number of Actors + program Familiarity number of Categories + program Conflict

  11. Tests of the indicators: Familiarity number of BBC viewers + program Complexity program Complexity number of Google results + number of Facebook likes + program Familiarity + number of Twitter references program Conflict program Conflict + score IMDB rating

  12. Tests of the indicators: Conflict program Complexity program Complexity variance IMDB ratings + program Familiarity program Familiarity variance BBC ratings + program Conflict

  13. Output • Information inherent to television program does notevokeserendipity in users • Externalsources important • Theoretical model correct • Future research: identifysuccesful indicators complexity, familiarity, conflict

  14. Closing Thankyouverymuchforyourattention! Do you have anyquestions?

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