Serendipity
Serendipity is a measure in the evaluation of recommender systems that captures the extent to which recommended items are both unexpected and positively surprising to the user, distinguishing it from mere novelty or relevance by incorporating user perception of beneficial unpredictability.
266
Publications
13.9K
Citations
538
Authors
303
Institutions
Publications per year
2017–2026
93
266
Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Jannach · 2010 · 642 citations
Social Serendipity: Mobilizing Social Software
Nathan Eagle, Alex Pentland · IEEE Pervasive Computing · 2005 · 471 citations
Yuan Cao Zhang, Diarmuid Ó Séaghdha, Daniele Quercia et al. · 2012 · 330 citations
1–5 of 266
538
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h-index
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1–5 of 538
303

University of Jyväskylä
Jyväskylä, Finland
6 h-index
15 publications
1.7K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
11 publications
1.7K citations

University of Nottingham
Nottingham, United Kingdom
5 h-index
8 publications
311 citations

University of North Carolina at Charlotte
Charlotte, United States
5 h-index
12 publications
313 citations
University College London
London, United Kingdom
4 h-index
5 publications
372 citations
New York University
New York, United States
4 h-index
5 publications
755 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
151 citations
University of Pavia
Pavia, Italy
4 h-index
6 publications
242 citations
1–8 of 303
6 publications · 416 citations
6
h-index
5 publications · 317 citations
5
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CNME · 5 publications · 62 citations
5
h-index
JASIST · 5 publications · 375 citations
5
h-index
4 publications · 112 citations
4
h-index
1–5