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Context and linking in retrieval from personal digital archives
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Singapore, Singapore
SESSION: Doctoral consortiums table of contents
Pages 899-899  
Year of Publication: 2008
ISBN:978-1-60558-164-4
Author
Liadh Kelly  Dublin City University, Dublin, Ireland
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Advances in digital capture and storage technologies mean that it is now possible to capture and store one's entire life experiences in personal digital archives. These vast personal archives (or Human Digital Memories (HDMs)) pose new challenges and opportunities for the research community, not the least of which is developing effective means of retrieval from HDMs. Personal archive retrieval research is still in its infancy and there is much scope for novel research. My PhD proposes to develop effective HDM retrieval algorithms by combining rich sources of context associated with items, such as location and people present data, with information obtained by linking HDM items in novel ways.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Kelly and G.J.F. Jones. Venturing into the Labyrinth: the Information Retrieval Challenge of Human Digital Memories. In Proceedings of the Workshop on Supporting Human Memory with Interactive Systems, at British HCI 2007, 2007.
 
2
M. Fuller and L. Kelly and G.J.F. Jones. Applying contextual memory cues for retrieval from personal information archives. In PIM 2008: Proceedings of Personal Information Management, at CHI 2008, 2008.