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Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions

Summary: Progressive and Selective Merge: top-k with ad-hoc ranking functions. Index-merge over tree indices; double-heap for progressive search and generation; join-signature materialization prunes empty-states, enabling ~10x speed-up. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h37a71a8f82014fb0
Venue
SIGMOD
Year
2007
Pagerank
7.2015969e-05
Overall Rank
3,566 | 76.03%
DOI
10.1145/1247480.1247494

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xin_sigmod07,
        title = {{Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions}},
        author = {Xin, Dong and Han, Jiawei and Chang, Kevin Chen-Chuan},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247494},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247494},
        year = {2007}
}

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