EigenRec: Generalizing PureSVD for Effective and Efficient Top-N Recommendations

We introduce EigenRec; a versatile and efficient Latent-Factor framework for Top-N Recommendations that includes the well-known PureSVD algorithm as a special case. EigenRec builds a low dimensional model of an inter-item proximity matrix that combines a similarity component, with a scaling operator...

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Veröffentlicht in:	arXiv.org 2017-12
Hauptverfasser:	Nikolakopoulos, Athanasios N, Kalantzis, Vassilis, Gallopoulos, Efstratios, Garofalakis, John D
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cold starts Computer Science - Databases Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Information Retrieval Computer Science - Numerical Analysis Computer Science - Social and Information Networks Performance measurement
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