Durable top-k search in document archives
Author:
Affiliation:
1. University of Hong Kong, Hong Kong, Hong Kong
2. Max-Planck Institute for Informatics, Saarbrücken, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/1807167.1807228
Reference26 articles.
1. Pruned query evaluation using pre-computed impacts
2. Pruning strategies for mixed-mode querying
3. A time machine for text search
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