REAL-TIME PERSONALIZED RECOMMENDATION OF LOCATION-RELATED ENTITIES

摘要

A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).