A Social Network Database that Learns How to Answer Queries
Summary: Introduce a social-network DB that makes social predicates (importance, relevance) first-class query primitives and embeds machine learning in the query processor to pick and tune predicate implementations and rankings. Emphasizes adaptive, query- and user-aware optimization. (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. Sara Cohen (Hebrew University)
- 2. Lior Ebel (Hebrew University)
- 3. Benny Kimelfeld (IBM)
BibTeX Citation
@inproceedings{cohen_cidr13,
address = {Amsterdam, Netherlands},
series = {{CIDR} '13},
title = {{A Social Network Database that Learns How to Answer Queries}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Cohen, Sara and Ebel, Lior and Kimelfeld, Benny},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,017 | Data Management for Social Networking | 2016 | PODS | 5.5064531e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,138 | Flexible Queries over Semistructured Data | 2001 | PODS | 9.109132e-05 |
| 4,350 | SocialScope: Enabling Information Discovery on Social Content Sites | 2009 | CIDR | 6.7499856e-05 |
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