Automated Product Recommendations with Preference-Based Explanations
Abstract
Many online retailers, such as Amazon, use automated product recommender systems to encourage customer loyalty and cross-sell products. Despite significant improvements to the predictive accuracy of contemporary recommender system algorithms, they remain prone to errors. Erroneous recommendations pose potential threats to online retailers in particular, because they diminish customers’ trust in, acceptance of, satisfaction with, and loyalty to a...
Paper Details
Title
Automated Product Recommendations with Preference-Based Explanations
Published Date
Sep 1, 2020
Journal
Volume
96
Issue
3
Pages
328 - 343
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