How Relevance Feedback is Framed Affects User Experience, but not Behaviour

Published: Mar 8, 2019
Abstract
Retrieval systems based on machine learning require both positive and negative examples to perform inference, which is usually obtained through relevance feedback. Unfortunately, explicit negative relevance feedback is thought to have poor user experience. Instead, systems typically rely on implicit negative feedback. In this study, we confirm that, in the case of binary relevance feedback, users prefer giving positive feedback (and implicit...
Paper Details
Title
How Relevance Feedback is Framed Affects User Experience, but not Behaviour
Published Date
Mar 8, 2019
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