Abstract: A system and method are disclosed for selecting advertisements based on local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system and method are disclosed for selecting advertisements based on local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system and method determine local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system and method are disclosed for determining local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system and method are disclosed for determining local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system is disclosed for expanding a user query based on user learned popularity rankings. User queries often have no exact match, resulting in a user having to refine or abandon the search. The disclosed system obtains popularity rankings based on the content of a user query. The system expands the user query based on the popularity rankings. Thereafter, query results based on the expanded user query may be provided to the user. The system also regularly learns from user behavior and adapts the popularity rankings according to the learned information.

Abstract: A system and method are disclosed for determining local intent. Local intent may reflect whether a search query should receive results and advertisements that are geographically specific. The local intent may be determined using probabilistic models that analyze historical searches to determine which search terms tend to have local intent.

Abstract: A system is disclosed for expanding a user query based on user learned popularity rankings. User queries often have no exact match, resulting in a user having to refine or abandon the search. The disclosed system obtains popularity rankings based on the content of a user query. The system expands the user query based on the popularity rankings. Thereafter, query results based on the expanded user query may be provided to the user. The system also regularly learns from user behavior and adapts the popularity rankings according to the learned information.

Abstract: A geographical location extraction method and tool to infer a likely geographical location from one or more search terms entered as a query by a user on a search engine or the like.

Abstract: A system is disclosed for determining probable meanings of words. An input of a word is obtained. Probable meanings of the word may be determined in accordance with a prior probability of probable meanings of the word and a context frequency probability of probable meanings of the word.

Abstract: A system is disclosed for determining probable meanings of a word. A prior probability is established of the probable meanings of the word. A context frequency probability is established of the probable meanings of the word. The probability that each meaning is a correct meaning may be provided in accordance with both the prior probability and the context frequency probability.

Abstract: A geographical location extraction method and tool to infer a likely geographical location from one or more search terms entered as a query by a user on a search engine or the like, the method comprising utilising one or more processes selected from the group consisting of: word analysis to determine which parts of a search query comprise location names and provide an indicator of the extent to which a given search term or part thereof should be treated as a geographical location; ranking geographical location names in accordance with the probability that the location names are likely to be searched; returning a list of probable locations in response to a search term comprising a non-geographical search term associated with a geographical location name; determining a geographical distance between a likely geographical location derived from the search term and a derived geographical location of a user; the user submitting criteria including a locality name, identifying from the criteria the locality name and r