Applying landmarks to enhance memory-based collaborative filtering

Memory-based Collaborative Filtering (CF) has been a widely used approach for personalised recommendation with considerable success in many applications. An important issue regarding memory-based CF lies in similarity computation: the sparsity of the rating matrix leads to similarity computations ba...

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Veröffentlicht in:	Information sciences Jg. 513; S. 412 - 428
Hauptverfasser:	Lima, Gustavo R., Mello, Carlos E., Lyra, Adria, Zimbrao, Geraldo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.03.2020
Schlagworte:	Collaborative filtering Dimensionality reduction Landmarks Memory-based algorithms Non-linear transformations Recommender system Dimensionality reduction Landmarks Memory-based algorithms Collaborative filtering Non-linear transformations Recommender system
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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