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Dynamically constructing user profiles with similarity-based online incremental clustering
Roman Y. Shtykh
*
,
Qun Jin
*
Corresponding author for this work
School of Human Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Citations (Scopus)
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Dive into the research topics of 'Dynamically constructing user profiles with similarity-based online incremental clustering'. Together they form a unique fingerprint.
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Mathematics
User Profile
100%
Clustering
48%
Similarity
43%
User Experience
33%
Relevance Feedback
32%
Information Systems
20%
Data-driven
19%
Volatility
19%
Profile
14%
Knowledge
13%
Concepts
8%
User Profiling
2%
Engineering & Materials Science
User experience
50%
Information systems
41%
Feedback
32%