Harvesting relevancy data, including dynamic relevancy agent based on underlying grouped and differentiated files

Abstract

Methods and apparatus teach a digital spectrum of a file representing underlying original data. The digital spectrum is used to map a file's position. This position relative to another file's position reveals closest neighbors. When multiple such neighbors are grouped together they can be used to indicate relevance in current data under consideration on a same or different computing device. Also, relevance can be found without traditional notions of needing structured data or users initiating searching for relevance or by examining metadata/administrative information associated with the files. A dynamic relevancy agent is configured for installation on the same or different computing device to monitor events regarding the current data and to initiate the examination of relevancy. It also presents to a user suggestions of data closest to the current data. Various triggering events to undertake a relevancy examination are also described as are predetermined criteria to define relative closeness.