Effective and Efficient Retrieval of Structured Entities
Summary: Introduces a hierarchy-smooth function to aggregate term scores across nested structured entities, mitigating parent–child containment in retrieval. Learns aggregation coefficients from entity families; works with BOW or word embeddings; enables efficient, accurate retrieval across heterogeneous structures on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ruihong Huang (Tsinghua University)
- 2. Shaoxu Song (Tsinghua University)
- 3. Yunsu Lee (Samsung)
- 4. Jungho Park (Samsung)
- 5. Soo-Hyung Kim (Samsung)
- 6. Sungmin Yi (Samsung)
BibTeX Citation
@article{huang_vldb20,
title = {{Effective and Efficient Retrieval of Structured Entities}},
author = {Huang, Ruihong and Song, Shaoxu and Lee, Yunsu and Park, Jungho and Kim, Soo-Hyung and Yi, Sungmin},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {6},
pages = {826--839},
doi = {10.14778/3380750.3380754},
url = {https://doi.org/10.14778/3380750.3380754},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,430 | PQCache: Product Quantization-based KVCache for Long Context LLM Inference | 2025 | SIGMOD | 6.7091071e-05 |
| 9,520 | Experimental Analysis of Large-scale Learnable Vector Storage Compression | 2024 | VLDB | 5.2561283e-05 |
| 9,556 | CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models | 2024 | SIGMOD | 5.2528121e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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