Shan Jiang

Works (1)

Updated: March 3rd, 2025 10:57

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
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

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.