Cold-start Problem
The Cold-Start Problem is a challenge in collaborative filtering and information filtering systems wherein the system cannot generate accurate recommendations for new users, items, or contexts due to the absence of sufficient historical interaction data.
814
Publications
47.6K
Citations
2.5K
Authors
746
Institutions
Publications per year
2017–2026
521
814
Methods and metrics for cold-start recommendations
Andrew I. Schein, Alexandrin Popescul, Lyle Ungar et al. · 2002 · 1.7K citations · Full text
1–5 of 814
2.5K
7
h-index
6
h-index
6
h-index
6
h-index
6
h-index
1–5 of 2.5K
746
Tsinghua University
Beijing, China
20 h-index
93 publications
3.3K citations

University of Electronic Science and Technology of China
Chengdu, China
16 h-index
43 publications
3K citations
Tencent (China)
Shenzhen, China
16 h-index
50 publications
4.3K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
37 publications
7K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
43 publications
1.3K citations
University of Science and Technology of China
Hefei, China
12 h-index
29 publications
1.6K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
20 publications
954 citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
34 publications
3.2K citations
1–8 of 746
28 publications · 848 citations
18
h-index
Repository · 29 publications · 725 citations
18
h-index
TKDE · 18 publications · 1.3K citations
16
h-index
Conference · 17 publications · 2K citations
15
h-index
12 publications · 1.3K citations
12
h-index
1–5