Cross-collection Retrieval
Cross-Collection Retrieval is a federated search approach that integrates search results across multiple independent and heterogeneous document collections by querying them simultaneously and merging the results at the document or passage level, distinguished from single-collection retrieval by its ability to handle cross-repository interoperability, varied indexing schemas, and distributed relevance ranking.
15
Publications
618
Citations
56
Authors
22
Institutions
Publications per year
2017–2026
0
Parents
15
The Collection Fusion Problem.
Ellen M. Voorhees, N. K. Gupta, Ben Johnson-Laird · 1994 · 166 citations
Determining Text Databases to Search in the Internet
Weiyi Meng, King-Lup Liu, Clement Yu et al. · 1998 · 72 citations
Classification-based resource selection
Jaime Arguello, Jamie Callan, Fernando Díaz · 2009 · 62 citations
1–5 of 15
56
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 56
22
RMIT University
Melbourne, Australia
3 h-index
8 publications
198 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
36 citations

Victoria and Albert Museum
London, United Kingdom
1 h-index
1 publications
46 citations
Institute of Automation
Beijing, China
1 h-index
3 publications
162 citations
Centre de recherche et de restauration des musées de France
Paris, France
1 h-index
1 publications
46 citations
South East European University
Tetovo, North Macedonia
1 h-index
1 publications
10 citations

Universitat Pompeu Fabra
Barcelona, Spain
1 h-index
4 publications
64 citations
University of Southampton
Southampton, United Kingdom
1 h-index
4 publications
184 citations
1–8 of 22
1 publications · 45 citations
1
h-index
CCQ · 1 publications · 22 citations
1
h-index
JASIS · 1 publications · 33 citations
1
h-index
1 publications · 46 citations
1
h-index
1 publications · 54 citations
1
h-index
1–5