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Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank
Clicks, the standard feedback collected by recommender systems, are insufficient to understand the whole interaction process of a user with a recommender requiring system designers to make assumptions, especially on browsing behavior.
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis
Eye tracking in recommender systems can provide an additional source of implicit feedback, while helping to evaluate other sources of feedback.
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