Member Profiling
Member Profiling is a systematic method within membership management that involves the construction of detailed, data-driven representations of individual members based on demographic, behavioral, and psychographic attributes to enable personalized engagement and targeted service delivery.
5
Publications
106
Citations
25
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
5
Lili Wu, Roshan Sumbaly, Chris Riccomini et al. · Proceedings of the VLDB Endowment · 2012 · 24 citations
SortingHat: Wizardry on Software Project Members
David Moreno, Santiago Dueñas, Valerio Cosentino et al. · 2019 · 11 citations
1–5 of 5
25
1
h-index
1
h-index
St. Petersburg Institute for Informatics and Automation, Russia
1 publications · 10 citations
1
h-index
1
h-index
University of North Carolina at Chapel Hill, United States
1 publications · 15 citations
1
h-index
1–5 of 25
12
Texas Tech University
Lubbock, United States
1 h-index
1 publications
46 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
15 citations
University of California, Irvine
Irvine, United States
1 h-index
1 publications
15 citations
Michigan State University
East Lansing, United States
1 h-index
1 publications
46 citations
University of Washington
Seattle, United States
1 h-index
1 publications
15 citations
University of Missouri
Columbia, United States
1 h-index
1 publications
46 citations
Universidad Rey Juan Carlos
Madrid, Spain
1 h-index
1 publications
11 citations
LinkedIn (United States)
Sunnyvale, United States
1 h-index
7 publications
168 citations
1–8 of 12
1 publications · 15 citations
1
h-index
1 publications · 10 citations
1
h-index
PVLDB · 1 publications · 24 citations
1
h-index
1 publications · 46 citations
1
h-index
1–4