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The Data Interaction Game

Summary: Data interaction as a two-agent identical-interest game between user and DBMS; RL learns and adapts to evolving user query strategies. scalable adaptations for large relational DBs; empirical results show superior effectiveness vs. state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5545
Venue
SIGMOD
Year
2018
Pagerank
4.3023337e-05
Overall Rank
9,696 | 32.55%
DOI
10.1145/3183713.3196899

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,590 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 4.4896282e-05
9,600 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 4.3177432e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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