Fast Indexing for Temporal Information Retrieval
Summary: Proposes time-first irHINT: apply state-of-the-art interval index HINT to temporal IR rather than extending inverted indexes. irHINT outperforms IR-first inverted-index extensions on time-travel keyword queries while keeping competitive indexing and update costs. (summarized by gpt-5-mini on Feb 11 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 857 | The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 2020 | VLDB | 0.00015882892 |
| 986 | Managing Intervals Efficiently in Object-Relational Databases | 2000 | VLDB | 0.00014838568 |
| 1,128 | An Efficient Indexing Technique for Full-Text Database Systems | 1992 | VLDB | 0.00013794088 |
| 3,116 | Timeline Index: A Unified Data Structure for Processing Queries on Temporal Data in SAP HANA | 2013 | SIGMOD | 7.5410386e-05 |
| 4,849 | Durable Top-k Search in Document Archives | 2010 | SIGMOD | 5.8773304e-05 |
| 7,165 | A Lightweight and Efficient Temporal Database Management System in TDSQL | 2019 | VLDB | 4.8130937e-05 |
| 7,915 | HINT: A Hierarchical Index for Intervals in Main Memory | 2022 | SIGMOD | 4.617775e-05 |
| 8,580 | LIT: Lightning-fast In-memory Temporal Indexing | 2024 | SIGMOD | 4.492241e-05 |
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