A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores
Summary: Rank-based top-K queries for recommender systems with uncertain scores. Introduces RankDist to compute the probability of each item's rank under score distributions, enabling probabilistic ranking with guaranteed expected-optimality and empirical superiority over score-based baselines on standard benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Coral Scharf (Technion)
- 2. Carmel Domshlak (Technion)
- 3. Avigdor Gal (Technion)
- 4. Haggai Roitman (Ben Gurion University)
BibTeX Citation
@inproceedings{scharf_sigmod25,
title = {{A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores}},
author = {Scharf, Coral and Domshlak, Carmel and Gal, Avigdor and Roitman, Haggai},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709655},
url = {https://dl.acm.org/doi/10.1145/3709655},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,333 | RecForUS: A Recommender System for Uncertain Scores | 2025 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 1,303 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD | 0.0001123653 |
| 1,327 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00011141552 |
| 1,363 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.00011025316 |
| 3,049 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.8151597e-05 |
| 3,483 | Consensus Answers for Queries over Probabilistic Databases | 2009 | PODS | 7.372823e-05 |
| 6,761 | Efficiently Answering Durability Prediction Queries | 2021 | SIGMOD | 5.7822533e-05 |
| 9,193 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 5.3058708e-05 |
| 9,194 | Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data | 2023 | VLDB | 5.3058708e-05 |
| 9,200 | JENNER: Just-in-time Enrichment in Query Processing | 2022 | VLDB | 5.3058708e-05 |
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