DBScholar

Back to papers

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
5607
Venue
SIGMOD
Year
2018
Pagerank
5.2124469e-05
Overall Rank
9,832 | 32.55%
DOI
10.1145/3183713.3196899

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mccamish_sigmod18,
        title = {{The Data Interaction Game}},
        author = {McCamish, Ben and Ghadakchi, Vahid and Termehchy, Arash and Touri, Behrouz and Huang, Liang},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196899},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196899},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,594 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.4053095e-05
9,734 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 5.227679e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers