Original paper

Deep language-based critiquing for recommender systems

Published: Sep 10, 2019
Abstract
Critiquing is a method for conversational recommendation that adapts recommendations in response to user preference feedback regarding item attributes. Historical critiquing methods were largely based on constraint- and utility-based methods for modifying recommendations w.r.t. these critiqued attributes. In this paper, we revisit the critiquing approach from the lens of deep learning based recommendation methods and language-based interaction....
Paper Details
Title
Deep language-based critiquing for recommender systems
Published Date
Sep 10, 2019
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