Query-based Partitioning of Documents and Indexes for Information Lifecycle Management
Summary: Query-based partitioning for information lifecycle management uses past keyword workloads and top-K click-throughs to estimate future access. Document-split inverted index achieves near-optimal partitioning with no tuning, delivering ~4× speedup when 20% of data sits on fast storage. (summarized by gpt-5-nano on Feb 09 2026)
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