KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity
Will Brackenbury, Andrew M. McNutt, Kyle Chard, Aaron J. Elmore, Blase Ur
Abstract
Users face many challenges in keeping their personal file collections organized. While current file-management interfaces help users retrieve files in disorganized repositories, they do not aid in organization. Pertinent files can be difficult to find, and files that should have been deleted may remain. To help, we designed KondoCloud, a file-browser interface for personal cloud storage. KondoCloud makes machine learning-based recommendations of files users may want to retrieve, move, or delete. These recommendations leverage the intuition that similar files should be managed similarly.
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Cited by top-tier papers2
- Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud StorageWill Brackenbury, Kyle Chard, Aaron J. Elmore, Blase UrUIST 2022
- To Cloud or not to Cloud: A Qualitative Study on Self-Hosters' Motivation, Operation, and Security MindsetLea Gröber, Rafael Mrowczynski, Nimisha Vijay, Daphne A. Muller et al.USENIX Security 2023
Builds on2
- FileWeaver: Flexible File Management with Automatic Dependency TrackingJulien Gori, Han L. Han, Michel Beaudouin-LafonUIST 2020 · 15 citations
- Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud StorageWill Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore et al.SIGIR 2021 · 5 citations
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