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>> THE PRIVATE RECOMMENDATION BASED ON THE ANALYSIS OF USER
Paper Publications
THE PRIVATE RECOMMENDATION BASED ON THE ANALYSIS OF USER
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Release time:2018-11-04
Affiliation of Author(s):
计算机学院/人工智能学院
Title of Paper:
THE PRIVATE RECOMMENDATION BASED ON THE ANALYSIS OF USER
Journal:
WIT Transactions on Engineering Sciences
Key Words:
private recommendation, hot topic, dynamic behavior network, interest similarity
Document Code:
f7cg57a2-mcie-c5an-zrlr-9nnq8cyg75sd
Page Number:
1015-1020
ISSN No.:
1743-3533
Translation or Not:
no
Date of Publication:
2015-01-01
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