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Measuring the benefit of increased transparency and control in news recommendation
Nava Tintarev
*
, Bart P. Knijnenburg
*
, Martijn C. Willemsen
*
Corresponding author for this work
Department of Advanced Computing Sciences
Department of Advanced Computing Sciences
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Keyphrases
News Recommendation
100%
Personalization
33%
Consumption Behavior
33%
User Behavior
33%
Knowledge Development
33%
User Benefits
33%
Consumption Preference
33%
News Item
33%
Interactive Interface
33%
Consumption Intention
33%
Explanation Interface
33%
Recommender Systems
33%
User Opinion
33%
News Personalization
33%
News Recommender Systems
33%
News Recommender
33%
Live Systems
33%
INIS
control
100%
recommendations
100%
transparency
100%
interventions
66%
interfaces
66%
gain
33%
Computer Science
Recommender Systems
100%
Contributing Factor
50%
Realism
50%
User Behavior
50%