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 the geographic range of a search query. A search query may include local intent which influences the results and advertisements that are displayed in response to the search query. The geographic range associated with the local intent may vary depending on the search query. The geographic range may be determined using probabilistic models that analyze historical searches to determine the geographic range of search queries.

Abstract: A system and method are disclosed for determining the geographic range of a search query. A search query may include local intent which influences the results and advertisements that are displayed in response to the search query. The geographic range associated with the local intent may vary depending on the search query. The geographic range may be determined using probabilistic models that analyze historical searches to determine the geographic range of search queries.

Abstract: A system and method determine the geographic range of a search query. A search query may include local intent which influences the results and advertisements that are displayed in response to the search query. The geographic range associated with the local intent may vary depending on the search query. The geographic range may be determined using probabilistic models that analyze historical searches to determine the geographic range of search queries.

Abstract: A system and method are disclosed for identifying relevant content/advertisements to be displayed in response to receiving a search query. The relevant advertisements may be identified based on the contextual relevance compared with the root term of the search query and based on the geographic relevance as compared with a location term of the search query and/or a localness associated with the root term. The search query may be assigned a location identifier based on the location term or based on the localness, which may be used to expand the geographic range for ranking and selecting relevant content/advertisements.

Abstract: Briefly, in accordance with at least one embodiment, a method or apparatus capable of creating or generating web pages dynamically (or a portion thereof) is disclosed.

Abstract: Methods and systems are provided for advertising based at least in part on a temporal response profile associated with a user keyword query. Methods are provided in which the temporal response profile provides an indication of at least one time frame during which serving of advertisements, or certain advertisements, associated with the keyword query to the user is predicted to be more likely to be effective relative to times outside of the at least one time frame.

Abstract: A system and method are disclosed for identifying relevant content/advertisements to be displayed in response to receiving a search query. The relevant advertisements may be identified based on the contextual relevance compared with the root term of the search query and based on the geographic relevance as compared with a location term of the search query and/or a localness associated with the root term. The search query may be assigned a location identifier based on the location term or based on the localness, which may be used to expand the geographic range for ranking and selecting relevant content/advertisements.

Abstract: A method for maximizing page yield in advertisement display to Web users includes tracking click activity associated with advertisements displayed to users through a hierarchal set of search results pages associated with a keyword; tracking bidding activity by advertisers related to the keyword and corresponding advertisements of the advertisements; applying at least one component model to the click or bidding activity as correlated with a particular search results page of the hierarchal set of search results pages via which the advertisements receiving the click activity are displayed, wherein the at least one component model generates a set of output values representative of the tracked click activity; and providing the output values to the at least one component model to iteratively optimize a number of advertisements displayed on the particular search results page via which at least some of the advertisements are displayed in response to a query for the keyword.

Abstract: A system and method are disclosed for determining the geographic range of a search query. A search query may include local intent which influences the results and advertisements that are displayed in response to the search query. The geographic range associated with the local intent may vary depending on the search query. The geographic range may be determined using probabilistic models that analyze historical searches to determine the geographic range of search queries.

Abstract: A method for valuating an advertiser considered for acquisition includes capturing click-related data by users with reference to a plurality of advertisements owned by a plurality of advertisers in a keyword market; calculating a marginal value of each of the plurality of advertisers as a function of a plurality of averaged market factors, wherein the marginal value of an additional advertiser is also calculated to result in at least an estimated displaced revenue if at least one advertisement of the additional advertiser for at least one keyword were competitively included in the keyword market; and deciding whether to pursue the additional advertiser based on the marginal value of the additional advertiser as associated with the at least one keyword.

Abstract: A system determines the geographic range of a search query. A search query may include local intent which influences the results and advertisements that are displayed in response to the search query. The geographic range associated with the local intent may vary depending on the search query. The geographic range may be determined using probabilistic models that analyze historical searches to determine the geographic range of search queries.

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 utilizing local intent to provide geographically relevant information in response to a search query. The search query results and advertisements may be chosen based at least in part on the local intent and geographic range of the search query. The search query may be assigned a location identifier based on the local intent that is used to expand the geographic range for ranking and selecting relevant content and advertisements.

Abstract: A method and system for constructing and delivering sponsored search contracts is provided. In one implementation, the method may include generating a financial instrument with terms, such as a contract, for selling click-throughs. The terms may include a volume of click-throughs, a price, and a core market. The price of the contract may be related to an expected quality of the advertisement. The core market may be described in terms of key words. The contract terms may be communicated to an advertiser. The advertiser may then bind an advertisement to the contract or sell the contract to another advertiser. The contract performance may be tracked and communicated.

Abstract: A method for valuating an advertiser considered for acquisition includes capturing click-related data by users with reference to a plurality of advertisements owned by a plurality of advertisers in a keyword market; calculating a marginal value of each of the plurality of advertisers as a function of a plurality of averaged market factors, wherein the marginal value of an additional advertiser is also calculated to result in at least an estimated displaced revenue if at least one advertisement of the additional advertiser for at least one keyword were competitively included in the keyword market; and deciding whether to pursue the additional advertiser based on the marginal value of the additional advertiser as associated with the at least one keyword.

Abstract: A method for maximizing page yield in advertisement display to Web users includes tracking click activity associated with advertisements displayed to users through a hierarchal set of search results pages associated with a keyword; tracking bidding activity by advertisers related to the keyword and corresponding advertisements of the advertisements; applying at least one component model to the click or bidding activity as correlated with a particular search results page of the hierarchal set of search results pages via which the advertisements receiving the click activity are displayed, wherein the at least one component model generates a set of output values representative of the tracked click activity; and providing the output values to the at least one component model to iteratively optimize a number of advertisements displayed on the particular search results page via which at least some of the advertisements are displayed in response to a query for the keyword.