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JacUOD: A New Similarity Measurement for Collaborative Filtering

✍ Scribed by Sun, Hui-Feng; Chen, Jun-Liang; Yu, Gang; Liu, Chuan-Chang; Peng, Yong; Chen, Guang; Cheng, Bo


Book ID
118813631
Publisher
Springer
Year
2012
Tongue
English
Weight
518 KB
Volume
27
Category
Article
ISSN
1000-9000

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Collaborative filtering is one of the most successful recommendation techniques, which can effectively predict the possible future likes of users based on their past preferences. The key problem of this method is how to define the similarity between users. A standard approach is using the correlatio