| 摘要 |
Computer-implemented methods and systems for processing user entered query data to improve results of a search of pages using a local search database are provided, when searching the internet. The method includes receiving the user entered query data and parsing each word of the query data and examining each word to determine if the word is associated with one of a business name, a city name or a state name. The examining uses probabilistic dictionaries to determine a likelihood that the word is one of the business name, the city name or the state name. Then, associating the words that were determined to be: (i) the business name with a business name tag to create one or more tagged business terms; (ii) the city name with a city name tag to create one or more tagged city terms; and (iii) the state name with a state name tag to create one or more tagged state terms. The method further includes normalizing each of the tagged business terms, the tagged city terms and the tagged state terms. The normalizing includes boosting information if found in the local search database and determining proximity between selected ones of the tagged business, city or state terms. Then, generating an optimized internal search query that incorporates constraints and ranking based on at least the boosting information and the determined proximity between the selected tagged business, city or state terms. The optimized internal search query is applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.
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