Serendipitous Recommendation is a recommendation approach that belongs to the class of diversity-aware and novelty-oriented methods, distinguished by its explicit goal of delivering unexpected yet relevant items that users did not anticipate seeking but find valuable upon discovery.
49
Publications
2.7K
Citations
139
Authors
53
Institutions
Publications per year
2017–2026
27
Publications
49
Yuan Cao Zhang, Diarmuid Ó Séaghdha, Daniele Quercia et al. · 2012 · 330 citations
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
Victoria Bellotti, Bo Begole, Ed H. et al. · 2008 · 183 citations
Introducing Serendipity in a Content-Based Recommender System
Leo Iaquinta, Marco de Gemmis, Pasquale Lops et al. · 2008 · 177 citations
1–5 of 49
Authors
139
- DK
7
h-index
- JV
5
h-index
- SW
4
h-index
- AH
3
h-index
- PL
2
h-index
1–5 of 139
Institutions
53
University of Jyväskylä
Jyväskylä, Finland
6 h-index
15 publications
1.7K citations
Institute of Management Sciences Peshawar
Peshawar, Pakistan
3 h-index
3 publications
50 citations
University of Helsinki
Helsinki, Finland
2 h-index
5 publications
105 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
128 citations
Hunan University
Changsha, China
2 h-index
7 publications
253 citations
Temple University
Philadelphia, United States
2 h-index
2 publications
72 citations
Islamic Azad University Central Tehran Branch
Tehran, Iran
2 h-index
4 publications
294 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
10 publications
400 citations
1–8 of 53
Venues
- Procedia Computer Science
3 publications · 50 citations
3
h-index
- Open Access CRIS of the University of Bern
Repository · 1 publications · 17 citations
1
h-index
- Information Processing & Management
1 publications · 134 citations
1
h-index
- Culture, theory and critique/Culture, theory & critique
1 publications · 15 citations
1
h-index
- Electronics
1 publications · 39 citations
1
h-index
1–5