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)
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Authors
- 1. Coral Scharf
- 2. Carmel Domshlak
- 3. Avigdor Gal
- 4. Haggai Roitman
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,128 | 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 |
|---|---|---|---|---|
| 101 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.0004955674 |
| 1,609 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00011150935 |
| 1,644 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD | 0.00011041787 |
| 1,707 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.00010816111 |
| 3,185 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.4192604e-05 |
| 3,505 | Consensus Answers for Queries over Probabilistic Databases | 2009 | PODS | 7.0337815e-05 |
| 6,960 | Efficiently Answering Durability Prediction Queries | 2021 | SIGMOD | 4.8849367e-05 |
| 9,043 | Query-Guided Resolution in Uncertain Databases | 2023 | SIGMOD | 4.4039656e-05 |
| 9,044 | Efficient Approximation of Certain and Possible Answers for Ranking and Window Queries over Uncertain Data | 2023 | VLDB | 4.4039656e-05 |
| 9,049 | JENNER: Just-in-time Enrichment in Query Processing | 2022 | VLDB | 4.4039656e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,992 | Probabilistic Ranking of Database Query Results | 2004 | VLDB | 9.8462684e-05 |
| 13,128 | RecForUS: A Recommender System for Uncertain Scores | 2025 | VLDB | - |
| 9,274 | Ranking Distributed Probabilistic Data | 2009 | SIGMOD | 4.3646295e-05 |
| 8,372 | URank: Formulation and Efficient Evaluation of Top-k Queries in Uncertain Databases | 2007 | SIGMOD | 4.532996e-05 |
| 4,095 | Ranking Continuous Probabilistic Datasets | 2010 | VLDB | 6.4556768e-05 |
| 1,609 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB | 0.00011150935 |
| 1,707 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD | 0.00010816111 |
| 3,185 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.4192604e-05 |
| 3,014 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD | 7.70946e-05 |
| 6,387 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.0851965e-05 |