RecForUS: A Recommender System for Uncertain Scores
Summary: RecForUs: demo recommender handling uncertain item scores and user-specific ranking objectives via participant-vs-algorithm competition. RankDist efficiently computes rank probabilities to produce top-K under multiple ranking semantics without enumerating possible worlds. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Dvir Cohen (Technion)
- 2. Liad Domb (Technion)
- 3. Avigdor Gal (Technion)
- 4. Lior Ganon (Technion)
- 5. Eliezer Gavriel (Technion)
- 6. Omri Lazover (Technion)
- 7. Coral Scharf (Technion)
- 8. Bar Shterenberg (Technion)
BibTeX Citation
@article{cohen_vldb25,
title = {{RecForUS: A Recommender System for Uncertain Scores}},
author = {Cohen, Dvir and Domb, Liad and Gal, Avigdor and Ganon, Lior and Gavriel, Eliezer and Lazover, Omri and Scharf, Coral and Shterenberg, Bar},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5267--5270},
doi = {10.14778/3750601.3750648},
url = {https://doi.org/10.14778/3750601.3750648},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,657 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,363 | Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach | 2008 | SIGMOD |
| 2 | 3,048 | FlexRecs: Expressing and Combining Flexible Recommendations | 2009 | SIGMOD |
| 3 | 3,049 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD |
| 4 | 12,013 | A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing | 2017 | VLDB |
| 5 | 12,475 | Building Ranked Mashups of Unstructured Sources with Uncertain Information | 2010 | VLDB |
| 6 | 8,345 | URank: Formulation and Efficient Evaluation of Top-k Queries in Uncertain Databases | 2007 | SIGMOD |
| 7 | 12,206 | Generating Top-k Packages via Preference Elicitation | 2014 | VLDB |
| 8 | 6,052 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB |
| 9 | 2,571 | Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures | 2011 | SIGMOD |
| 10 | 10,657 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD |