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- W2078752423 abstract "As a query processing optimization technique over inverted index, static index pruning can significantly reduce index size and query processing time. A fast static index pruning algorithm is presented, which is a term-centric method and adopts BM25 weighting as the pruning measure. The algorithm scans through documents set with one pass and directly builds pruned index, and therefore avoids the construction of original index. The correctness of the algorithm is proved and the theoretical analysis reveals that its IO performance takes precedence over other algorithms. The experiments based on TREC data set also show that the fast static index pruning algorithm requires less time to build pruned index, and the pruning effectiveness outperforms the baseline method." @default.
- W2078752423 created "2016-06-24" @default.
- W2078752423 creator A5026108994 @default.
- W2078752423 date "2013-12-01" @default.
- W2078752423 modified "2023-09-24" @default.
- W2078752423 title "A Fast Static Index Pruning Algorithm" @default.
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- W2078752423 doi "https://doi.org/10.1145/2556871.2556878" @default.
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