Abstract: Ad rendering parameters for a set of two or more ads may be determined by (a) accepting, for a set of two or more ads, ad information which includes at least one ad feature having a value that depends on ad rendering parameters, and (b) determining ad rendering parameters for at least one ad from the set of two or more ads using the accepted ad information. The act of determining ad rendering parameters may use accepted ad rendering constraints. The ad rendering constraints may include space available for rendering the ads, a footprint available for rendering the ads, and/or a maximum number of ads permitted to be rendered. The act of determining ad rendering parameters may include maximizing a value associated with serving at least one ad from the set of two or more ads with ad rendering parameters subject to the ad rendering constraints. The ad rendering parameters may include sizes of the served ads, and/or a layout of the served ads.

Abstract: Additional documents are automatically located that are relevant to an original document, such as a document being read by a user, and also potentially relevant to personal information of the user. The additional documents may be located based on descriptive information that includes personal information of the user and content information of the document being read. The additional documents, or links to the additional documents, may be incorporated into the document being read. In some implementations, the additional documents may be presented in-line with the document being read, such as through an in-link link or text snippet. The user can thus be efficiently presented with additional information that is relevant to the original document being read.

Abstract: Additional documents are automatically located that are relevant to an original document, such as a document being read by a user, and also potentially relevant to personal information of the user. The additional documents may be located based on descriptive information that includes personal information of the user and content information of the document being read. The additional documents, or links to the additional documents, may be incorporated into the document being read. In some implementations, the additional documents may be presented in-line with the document being read, such as through an in-link link or text snippet. The user can thus be efficiently presented with additional information that is relevant to the original document being read.

Abstract: A method of processing documents is described. The method includes the operation of receiving a document in a search engine crawler. The document includes an embedded first link tag. The first link tag includes one or more information pairs. A respective information pair includes a respective parameter and a corresponding value. The parameters in the one or more information pairs may correspond to content at one or more content locations or one or more document locations. The method also includes selecting a method of processing content associated with the first link tag in accordance with one or more of the information pairs.

Abstract: A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Abstract: A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Abstract: A method of processing documents is described. The method includes the operation of receiving a document in a search engine crawler. The document includes an embedded first link tag. The first link tag includes one or more information pairs. A respective information pair includes a respective parameter and a corresponding value. The parameters in the one or more information pairs may correspond to content at one or more content locations or one or more document locations. The method also includes selecting a method of processing content associated with the first link tag in accordance with one or more of the information pairs.

Abstract: A method of processing documents is described. The method includes the operation of receiving a document in a search engine crawler. The document includes an embedded first link tag. The first link tag includes one or more information pairs. A respective information pair includes a respective parameter and a corresponding value. The parameters in the one or more information pairs may correspond to content at one or more content locations or one or more document locations. The method also includes selecting a method of processing content associated with the first link tag in accordance with one or more of the information pairs.

Abstract: A category classification component locates appropriate categories that apply to a user search query. The categories may be yellow page business listings. The category classification component may include a category model that is automatically trained on one or more of a number of possible training data sources. The training data sources may include directory listings, web documents, query traffic, and advertisement traffic.

Abstract: Additional documents are automatically located that are relevant to an original document, such as a document being read by a user, and also potentially relevant to personal information of the user. The additional documents may be located based on descriptive information that includes personal information of the user and content information of the document being read. The additional documents, or links to the additional documents, may be incorporated into the document being read. In some implementations, the additional documents may be presented in-line with the document being read, such as through an in-link link or text snippet. The user can thus be efficiently presented with additional information that is relevant to the original document being read.

Abstract: Additional documents are automatically located that are relevant to an original document, such as a document being read by a user, and also potentially relevant to personal information of the user. The additional documents may be located based on descriptive information that includes personal information of the user and content information of the document being read. The additional documents, or links to the additional documents, may be incorporated into the document being read. In some implementations, the additional documents may be presented in-line with the document being read, such as through an in-link link or text snippet. The user can thus be efficiently presented with additional information that is relevant to the original document being read.

Abstract: A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Abstract: A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Abstract: A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Abstract: Ad rendering parameters for a set of two or more ads may be determined by (a) accepting, for a set of two or more ads, ad information which includes at least one ad feature having a value that depends on ad rendering parameters, and (b) determining ad rendering parameters for at least one ad from the set of two or more ads using the accepted ad information. The act of determining ad rendering parameters may use accepted ad rendering constraints. The ad rendering constraints may include space available for rendering the ads, a footprint available for rendering the ads, and/or a maximum number of ads permitted to be rendered. The act of determining ad rendering parameters may include maximizing a value associated with serving at least one ad from the set of two or more ads with ad rendering parameters subject to the ad rendering constraints. The ad rendering parameters may include sizes of the served ads, and/or a layout of the served ads.

Abstract: Additional documents are automatically located that are relevant to an original document, such as a document being read by a user, and also potentially relevant to personal information of the user. The additional documents may be located based on descriptive information that includes personal information of the user and content information of the document being read. The additional documents, or links to the additional documents, may be incorporated into the document being read. In some implementations, the additional documents may be presented in-line with the document being read, such as through an in-link link or text snippet. The user can thus be efficiently presented with additional information that is relevant to the original document being read.

Abstract: Systems and methods for generation of hyperlinks and anchor text from data such as reference text in HTML and in non-HTML documents are disclosed. The method generally includes locating a text reference in a source document, searching using a search engine for a target document relating to the text reference, computing anchor text from the text reference, generating a hyperlink to the target document, and associating the hyperlink with the computed anchor text. The locating and/or computing may be based on a respective statistical model of text formatting and/or lexical cues. The text reference may be parsed into pieces such that the searching, computing, generating, and associating are performed for each piece of text. The source document may be an HTML or non-HTML document. The text reference may be a reference to, for example, a paper, article, company, institution, product, search engine, image, object, and geographical location.

Abstract: Methods and apparatus consistent with the invention allow a user to submit an ambiguous search query and to receive relevant search results. Queries can be expressed using character sets and/or languages that are different from the character set and/or language of at least some of the data that is to be searched. A translation between these character sets and/or languages can be performed by examining the use of terms in aligned text. Probabilities can be associated with each possible translation. Refinements can be made to these probabilities by examining user interactions with the search results.