Lifestreams: a storage model for personal data
ACM SIGMOD Record
MyLifeBits: fulfilling the Memex vision
Proceedings of the tenth ACM international conference on Multimedia
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
Memory cues for meeting video retrieval
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Connections: using context to enhance file search
Proceedings of the twentieth ACM symposium on Operating systems principles
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
Searching to eliminate personal information management
Communications of the ACM - Personal information management
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
Towards memory supporting personal information management tools
Journal of the American Society for Information Science and Technology
MediAssist: using content-based analysis and context to manage personal photo collections
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Exploiting linked data to create rich human digital memories
Computer Communications
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Today people are storing increasing amounts of personal information in digital format. While storage of such information is becoming straight forward, retrieval from the vast personal archives that this is creating poses significant challenges. Existing retrieval techniques are good at retrieving from non-personal spaces, such as the World Wide Web. However they are not sufficient for retrieval of items from these new unstructured spaces which contain items that are personal to the individual, and of which the user has personal memories and with which has had previous interaction. We believe that there are new and exciting possibilities for retrieval from personal archives. Memory cues act as triggers for individuals in the remembering process, a better understanding of memory cues will enable us to design new and effective retrieval algorithms and systems for personal archives. Context data, such as time and location, is already proving to play a key part in this special retrieval domain, for example for searching personal photo archives, we believe there are many other rich sources of context that can be exploited for retrieval from personal archives.