Title :
Location-aware query parsing for mobile voice search
Author_Institution :
AT&T Labs.-Res., Florham Park, NJ, USA
Abstract :
Mobile voice search provides users an easier way to search for information using voice from mobile devices. Most mobile search applications have access to the latitude/longitude coordinates of the device, which can be exploited to deliver location-specific search results. Geography and queries users submit are inextricably intertwined. In this paper we present the findings of a study on the spatial proximity of queried location and device location in a local search application. We then propose a location-aware query parsing model to parse queries into concepts that are necessary for high precision search.
Keywords :
mobile computing; query processing; speech processing; geography; location aware query parsing; location specific search result; mobile devices; mobile search application; mobile voice search; parse queries; queried location; queries users; Business; Cities and towns; Equations; Hidden Markov models; Mathematical model; Mobile communication; Speech recognition; Voice search; mobile search; query parsing;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947661