User perception of sentiment-integrated critiquing in recommender systems.

•Development of a novel critiquing-based recommender system based on feature sentiments extracted from product reviews.•Modeling of user preferences for both static attribute values and feature sentiments.•Design and conduction of two experiments on the developed system.•Empirical demonstration of the system’s effectiveness in enhancing user experiences.