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CIKM
2009
Springer

iMecho: an associative memory based desktop search system

9 years 2 months ago
iMecho: an associative memory based desktop search system
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is stored but forget the exact location and keywords of the resource. According to observations of human associative memory, people tend to remember things from some memory fragments in their brains and these memory fragments are connected by memory cues of user activity context. We developed iMecho (My Memory Echo), an associative memory based desktop search system, which exploits such associations and contexts to enhance traditional desktop search. Desktop resources are connected with semantic links mined from explicit and implicit user activities according to specific access patterns. Using these semantic links, associations among memory fragments can be built or rebuilt in a user’s brain during a search. Moreover, our linkbased ranking scheme uses these links together with a user’s personal preferences...
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where CIKM
Authors Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
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