Information Retrieval Quality
Information Retrieval Quality is a scholarly construct that denotes the degree to which a retrieval system effectively and accurately delivers relevant information in response to user queries, distinguished from related assessment concepts by its focus on the precision, completeness, and usability of retrieved results within a given information-seeking context.
210
Publications
16.1K
Citations
500
Authors
236
Institutions
Publications per year
2017–2026
28
Parents
210
Optimizing search engines using clickthrough data
Thorsten Joachims · 2002 · 3.9K citations
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang et al. · 2017 · 713 citations
Optimizing search engines using clickthrough data
Thorsten Joachims · 2002 · 409 citations
1–5 of 210
500
9
h-index
5
h-index
4
h-index
4
h-index
4
h-index
1–5 of 500
236

University of Padua
Padua, Italy
6 h-index
8 publications
223 citations

University of Massachusetts Amherst
Amherst Center, United States
6 h-index
14 publications
620 citations
IBM Research - Haifa
Haifa, Israel
4 h-index
10 publications
1.3K citations

University of Waterloo
Waterloo, Canada
4 h-index
8 publications
491 citations

University of Duisburg-Essen
Essen, Germany
4 h-index
5 publications
175 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
6 publications
163 citations

Cornell University
Ithaca, United States
4 h-index
8 publications
5.3K citations

McGill University
Montreal, Canada
3 h-index
8 publications
620 citations
1–8 of 236
13 publications · 432 citations
12
h-index
JASIST · 6 publications · 204 citations
6
h-index
5 publications · 578 citations
5
h-index
4 publications · 154 citations
4
h-index
JASIS · 4 publications · 355 citations
4
h-index
1–5