A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective

Jaccard index, originally proposed by Jaccard (Bull Soc Vaudoise Sci Nat 37:241–272, 1901), is a measure for examining the similarity (or dissimilarity) between two sample data objects. It is defined as the proportion of the intersection size to the union size of the two data samples. It provides a...

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Veröffentlicht in:	Social network analysis and mining 2020-12, Vol.10 (1), p.43, Article 43
Hauptverfasser:	Verma, Vijay, Aggarwal, Rajesh Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Affinity Algorithms Applications of Graph Theory and Complex Networks Binary data Coefficients Collaboration Comparative analysis Computer Science Data mining Data Mining and Knowledge Discovery Datasets Economics Empirical analysis Game Theory Humanities Information overload Law Linear algebra Machine learning Methodology of the Social Sciences Music Neighborhoods Original Article Ratings & rankings Recommender systems Similarity Similarity measures Social and Behav. Sciences Statistics for Social Sciences
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