Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams
Author:
Affiliation:
1. University of Maryland, College Park, MD, USA
2. University of Waterloo, Waterloo, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3018661.3018727
Reference47 articles.
1. M. R. Ackermann M. M\"artens C. Raupach K. Swierkot C. Lammersen and C. Sohler. StreamKM++: A clustering algorithm for data streams. Journal of Experimental Algorithmics 17(2):Article 2.4 2012. M. R. Ackermann M. M\"artens C. Raupach K. Swierkot C. Lammersen and C. Sohler. StreamKM++: A clustering algorithm for data streams. Journal of Experimental Algorithmics 17(2):Article 2.4 2012.
2. Taily
3. Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures
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