Local search optimization using personal footprints

摘要

A user's physical location and the time the user is at that location are sampled by an network-enabled mobile computing device at certain intervals, and used to construct a representation of the comparative relevance of the different physical locations where the user lives. This representation is then used then to optimize and prioritize results returned by a local network search operation, informing the user about which search result would be optimal for the user at her intended time for use of that choice.