Real-time recommendation with locality sensitive hashing

Neighborhood-based collaborative filtering (CF) methods are widely used in recommender systems because they are easy-to-implement and highly effective. One of the significant challenges of these methods is the ability to scale with the increasing amount of data since finding nearest neighbors requir...

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Veröffentlicht in:	Journal of intelligent information systems 2019-08, Vol.53 (1), p.1-26
Hauptverfasser:	Aytekin, Ahmet Maruf, Aytekin, Tevfik
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Computer Science Data points Data Structures and Information Theory Information Storage and Retrieval IT in Business Natural Language Processing (NLP) Neighborhoods Recommender systems Run time (computers) Searching System effectiveness Systems analysis
Online-Zugang:	Volltext
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