REACT: Context-Sensitive Recommendations for Data Analysis
Summary: REACT: context-sensitive recommendations for analysis actions, integrated into the UI. Holistic similarity across actions, data, and workflow maps current sessions to prior analysts to suggest next steps; demonstrated on honeypot data for cyber-forensics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tova Milo (Tel Aviv University)
- 2. Amit Somech (Tel Aviv University)
BibTeX Citation
@inproceedings{milo_sigmod16,
title = {{REACT: Context-Sensitive Recommendations for Data Analysis}},
author = {Milo, Tova and Somech, Amit},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2889392},
url = {https://dl.acm.org/doi/10.1145/2882903.2889392},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,497 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.5763072e-05 |
| 8,699 | Modern Recommender Systems: from Computing Matrices to Thinking with Neurons | 2018 | SIGMOD | 5.2905577e-05 |
| 10,171 | Towards Autonomous, Hands-Free Data Exploration | 2020 | CIDR | 5.0682654e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 395 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00019165452 |
| 861 | SnipSuggest: Context-Aware Autocompletion for SQL | 2011 | VLDB | 0.00013402933 |
| 5,676 | RecDB in Action: Recommendation Made Easy in Relational Databases | 2013 | VLDB | 6.0413501e-05 |
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