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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)

Paper ID
7511
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,315 | 29.23%
DOI
10.1145/3749164

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Authors

BibTeX Citation

@inproceedings{rauch_sigmod26,
        title = {{Fast Indexing for Temporal Information Retrieval}},
        author = {Rauch, Christian and Bouros, Panagiotis},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749164},
        url = {https://dl.acm.org/doi/10.1145/3749164},
        year = {2026}
}

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Rank Citing Paper Year Venue Pagerank
10,244 FIRAS: A Framework for Interval Range Search and Sampling 2026 SIGMOD 5.093636e-05
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