Incremental User Profiling
Incremental User Profiling is a dynamic user modeling technique in content-based recommendation systems that continuously refines a user's preference profile by integrating new interaction data in real time, distinguishing itself from batch or static profiling methods through its ability to adapt incrementally without reprocessing historical data.
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709
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30
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16
Institutions
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2017–2026
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On bootstrapping recommender systems
Nadav Golbandi, Yehuda Koren, Ronny Lempel · 2010 · 86 citations
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Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
3 publications
39 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
166 citations

Universidade da Coruña
A Coruña, Spain
1 h-index
4 publications
184 citations
Universidad de Salamanca
Salamanca, Spain
1 h-index
5 publications
60 citations
Northeast Normal University
Changchun, China
1 h-index
1 publications
72 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
112 citations
Institut de Recherche en Informatique de Toulouse
Toulouse, France
1 h-index
3 publications
39 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
83 citations
1–8 of 16
1 publications · 46 citations
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1 publications · 12 citations
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1 publications · 91 citations
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AJAS · 1 publications · 25 citations
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1 publications · 1.2K citations
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