Hybrid Recommender System Using Semi-supervised Clustering Based on Gaussian Mixture Model
Recommender systems are used to make recommendations about products, information, or services for users. Most existing recommender systems implicitly assume one particular type of user behavior. However, other recommender system utilizes different particular type information by combining different t...
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Published in | 2016 International Conference on Cyberworlds (CW) pp. 155 - 158 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2016
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Subjects | |
Online Access | Get full text |
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