Automated Ranking of Database Query Results
Summary: Adapts IR-style relevance ranking to relational DB query results, highlighting integration challenges in scoring, indexing, query optimization, and result diversification for DBMS. Proposes and evaluates several IR-to-DB adaptations and reports preliminary experimental tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sanjay Agrawal (Microsoft)
- 2. Surajit Chaudhuri (Microsoft)
- 3. Gautam Das (Microsoft)
- 4. Aristides Gionis (Stanford University)
BibTeX Citation
@inproceedings{agrawal_cidr03,
address = {Amsterdam, Netherlands},
series = {{CIDR} '03},
title = {{Automated Ranking of Database Query Results}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Agrawal, Sanjay and Chaudhuri, Surajit and Das, Gautam and Gionis, Aristides},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
Showing 30 of 30 citing papers.
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 930 | SPARK: Top-k Keyword Query in Relational Databases | 2007 | SIGMOD |
| 2 | 748 | Effective Keyword Search in Relational Databases | 2006 | SIGMOD |
| 3 | 12,285 | Rank Discovery From Web Databases | 2013 | VLDB |
| 4 | 212 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB |
| 5 | 1,327 | A Unified Approach to Ranking in Probabilistic Databases | 2009 | VLDB |
| 6 | 2,211 | Relational link-based ranking | 2004 | VLDB |
| 7 | 12,083 | Query Reranking As A Service | 2016 | VLDB |
| 8 | 1,526 | Ordering the Attributes of Query Results | 2006 | SIGMOD |
| 9 | 9,239 | Keyword Querying and Ranking in Databases | 2009 | VLDB |
| 10 | 1,844 | Probabilistic Ranking of Database Query Results | 2004 | VLDB |