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A general framework for intelligent recommender systems

In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers preferences and criticisms, among other things. For t...

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Bibliographic Details
Main Authors: Jose Aguilar, Priscila Valdiviezo-Díaz, Guido Riofrio
Format: Artigo
Language:Inglês
Published: Emerald Publishing 2017-07-01
Series:Applied Computing and Informatics
Subjects:
Recommender system
Cognitive maps
Online Access:http://www.sciencedirect.com/science/article/pii/S2210832716300254
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