Shan Jiang

Works (1)

Updated: October 13th, 2025 08:15

2019 journal article

A sub-one quasi-norm-based similarity measure for collaborative filtering in recommender systems

Information Sciences, 487, 142–155.

By: S. Jiang n, S. Fang n , Q. An n & J. Lavery n

author keywords: Recommender system; Collaborative filtering; Neighborhood-based CF; Similarity measure; l(p)quasi-norm
topics (OpenAlex): Recommender Systems and Techniques; Image and Video Quality Assessment; Customer churn and segmentation
TL;DR: A sub-one quasi-norm-based similarity measure for collaborative filtering in a recommender system shows its advantages over those commonly used similarity measures in the literature by making better use of rating values and deemphasizing the dissimilarity between users. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: April 29, 2019

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