SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
Lifestreams: an alternative to the desktop metaphor
Conference Companion on Human Factors in Computing Systems
A large-scale study of file-system contents
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Modern Information Retrieval
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Connections: using context to enhance file search
Proceedings of the twentieth ACM symposium on Operating systems principles
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Fast, flexible filtering with phlat
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using context to assist in personal file retrieval
Using context to assist in personal file retrieval
Provenance-aware storage systems
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Detours: binary interception of Win32 functions
WINSYM'99 Proceedings of the 3rd conference on USENIX Windows NT Symposium - Volume 3
Searching and navigating petabyte-scale file systems based on facets
PDSW '07 Proceedings of the 2nd international workshop on Petascale data storage: held in conjunction with Supercomputing '07
Autograph: automatically extracting workflow file signatures
ACM SIGOPS Operating Systems Review
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
FAST '09 Proccedings of the 7th conference on File and storage technologies
The case for browser provenance
TAPP'09 First workshop on on Theory and practice of provenance
ACM Transactions on Storage (TOS)
Retrieval experiments using pseudo-desktop collections
Proceedings of the 18th ACM conference on Information and knowledge management
Provenance as first class cloud data
ACM SIGOPS Operating Systems Review
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
Using provenance to extract semantic file attributes
TAPP'10 Proceedings of the 2nd conference on Theory and practice of provenance
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Which version is this?: improving the desktop experience within a copy-aware computing ecosystem
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Repair from a chair: computer repair as an untrusted cloud service
HotOS'13 Proceedings of the 13th USENIX conference on Hot topics in operating systems
Easing the burdens of HPC file management
Proceedings of the sixth workshop on Parallel Data Storage
MalPEFinder: fast and retrospective assessment of data breaches in malware attacks
Security and Communication Networks
Evaluation of a Hybrid Approach for Efficient Provenance Storage
ACM Transactions on Storage (TOS)
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As the scope of personal data grows, it becomes increasingly difficult to find what we need when we need it. Desktop search tools provide a potential answer, but most existing tools are incomplete solutions: they index content, but fail to capture dynamic relationships from the user's context. One emerging solution to this is context-enhanced search, a technique that reorders and extends the results of content-only search using contextual information. Within this framework, we propose using strict causality, rather than temporal locality, the current state of the art, to direct contextual searches. Causality more accurately identifies data flow between files, reducing the false-positives created by context-switching and background noise. Further, unlike previous work, we conduct an online user study with a fully-functioning implementation to evaluate user-perceived search quality directly. Search results generated by our causality mechanism are rated a statistically-significant 17% higher on average over all queries than by using content-only search or context-enhanced search with temporal locality.