tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space
Summary: tau-LevelIndex: a general index for continuous preference space enabling fast processing of top-k queries (kSPR, UTK, ORU). Efficient construction exploiting space properties; experiments show low space/time costs and 2–3 orders of magnitude speedups over specialized solutions. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jiahao Zhang (Hong Kong Polytechnic University)
- 2. Bo Tang (Southern University of Science and Technology)
- 3. Man Lung Yiu (Hong Kong Polytechnic University)
- 4. Xiao Yan (Southern University of Science and Technology)
- 5. Keming Li (Southern University of Science and Technology)
BibTeX Citation
@inproceedings{zhang_sigmod22,
title = {{tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space}},
author = {Zhang, Jiahao and Tang, Bo and Yiu, Man Lung and Yan, Xiao and Li, Keming},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526182},
url = {https://dl.acm.org/doi/10.1145/3514221.3526182},
year = {2022}
}
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