Accurate Recommendations Using Linked Taxonomies of Subjective Assessments

Abstract

-Subjective assessments like 'beautiful' and 'breathtaking' are assigned to items by users and are commonly found in reviews on many online sites. Analyzing the links between these SAs and items can help improve the recommendation accuracy. We propose a different method which links a taxonomy of items to a taxonomy of SAs to capture user's interests in detail.