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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)

Paper ID
hed69ad050d240bf8
Venue
CIDR
Year
2013
Pagerank
4.9793485e-05
Overall Rank
12,513 | 15.87%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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
8,177 Data Management for Social Networking 2016 PODS 5.3829638e-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
2,148 Flexible Queries over Semistructured Data 2001 PODS 8.955397e-05
4,441 SocialScope: Enabling Information Discovery on Social Content Sites 2009 CIDR 6.5991946e-05
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