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Durable Top-k Search in Document Archives

Summary: Durable top-k search over versioned document archives: identify objects that remain in the top-k across a time window. Two solutions: NRA-based adaptation and a faster shared-execution approach, plus an archival index with space-partitioning. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4274
Venue
SIGMOD
Year
2010
Pagerank
5.8773304e-05
Overall Rank
4,849 | 66.27%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
6,960 Efficiently Answering Durability Prediction Queries 2021 SIGMOD 4.8849367e-05
7,513 Ranking Large Temporal Data 2012 VLDB 4.7180617e-05
8,580 LIT: Lightning-fast In-memory Temporal Indexing 2024 SIGMOD 4.492241e-05
10,017 Fast Indexing for Temporal Information Retrieval 2026 SIGMOD 4.1945683e-05
11,748 Durable Top-k Queries on Temporal Data 2018 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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