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...

• Type: Conference
• Year: 2009
• Where: CIKM
• Authors: Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
• Keywords: Associative Memory, CIKM 2009, Desktop Search, Traditional Desktop Search