1. A method for a navigation system, the method comprising: receiving a query text string representing a request for a geographic location from a user; obtaining candidate information data records representing stored locations from a geographic database stored on a computer readable medium, each of the candidate information data records comprising a record text string of a different geographic location; computing, by a processor, a text matching score for each of the different geographic locations, wherein the text matching score indicates a degree of match between the query text string and each of the different geographic locations; computing, by the processor, a usage pattern weight for each of the different geographic locations, wherein the usage pattern weight represents a frequency that users have previously selected a corresponding geographic location; computing, by the processor, a ranking score (s) based on a product of the text matching score (s f ) and the usage pattern weight (w(f)) for each of the different geographic locations according to s=s f *w(f); ranking the different geographic locations based on the ranking scores; and displaying the different geographic locations according to the ranking scores, wherein said usage pattern weight is determined using historic crowd sourcing or real time crowd sourcing.
1. A method for a navigation system, the method comprising: receiving a query text string representing a request for a geographic location from a user; obtaining candidate information data records representing stored locations from a geographic database stored on a computer readable medium, each of the candidate information data records comprising a record text string of a different geographic location; computing, by a processor, a text matching score for each of the different geographic locations, wherein the text matching score indicates a degree of match between the query text string and each of the different geographic locations; computing, by the processor, a usage pattern weight for each of the different geographic locations, wherein the usage pattern weight represents a frequency that users have previously selected a corresponding geographic location; computing, by the processor, a ranking score (s) based on a product of the text matching score (s f ) and the usage pattern weight (w(f)) for each of the different geographic locations according to s=s f *w(f); ranking the different geographic locations based on the ranking scores; and displaying the different geographic locations according to the ranking scores, wherein said usage pattern weight is determined using historic crowd sourcing or real time crowd sourcing. 8. The method of claim 1 , wherein the usage pattern weight is modeled with values for a day of the week.