Pointwise Ranking is a relevance ranking approach that treats each document independently and assigns a relevance score based solely on the individual document's features, without direct comparison to other documents in the collection.
14
Publications
580
Citations
58
Authors
21
Institutions
Publications per year
2017–2026
6
Parents
Publications
14
A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection
Weijie Bian, Si Li, Yang Zhao et al. · 2017 · 83 citations
Taesup Moon, Alex Smola, Yi Chang et al. · 2010 · 44 citations
Deep Attentive Ranking Networks for Learning to Order Sentences
Pawan Kumar, Dhanajit Brahma, Harish Karnick et al. · 2020 · 43 citations · Full text
1–5 of 14
Authors
58
- YC
1
h-index
- EH
1
h-index
- TM
1
h-index
- PW
1
h-index
- GY
1
h-index
1–5 of 58
Institutions
21
Google (United States)
Mountain View, United States
2 h-index
5 publications
196 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
1 publications
24 citations
Yahoo (United States)
Sunnyvale, United States
1 h-index
4 publications
176 citations
University of Waterloo
Waterloo, Canada
1 h-index
1 publications
156 citations
University of Indonesia
Depok, Indonesia
1 h-index
2 publications
22 citations
Aalborg University
Aalborg, Denmark
1 h-index
2 publications
80 citations
Leipzig University
Leipzig, Germany
1 h-index
1 publications
15 citations
Bauhaus-Universität Weimar
Weimar, Germany
1 h-index
1 publications
15 citations
1–8 of 21
Venues
- Schedae Informaticae
1 publications · 12 citations
1
h-index
- ACM Transactions on Information Systems
1 publications · 24 citations
1
h-index
- International Journal of Software Engineering and Knowledge Engineering
IJSEKE · 1 publications · 20 citations
1
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 1 publications · 40 citations
1
h-index
- Information Fusion
1 publications · 46 citations
1
h-index
1–5