Exploiting ratings and trust to resolve the data sparsity and cold start of recommender systems
Collaborative filtering (CF) is a widely used technique for recommender systems. The essential principle is that users with similar preference in the past are likely to give similar ratings on the items of interest in the future. However, collaborative filtering inherently suffers from two severe issu...
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Main Author: | Guo, Guibing |
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Other Authors: | Jie Zhang |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/64555 |
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Institution: | Nanyang Technological University |
Language: | English |
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