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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Emerald Publishing
2017-07-01
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Series: | Applied Computing and Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2210832716300254 |