Abstract: An ordering of advertisements requested by an ad consumer is based on scores generated for the ads. In each case, a score may be a function of at least one performance parameter associated with the ad and/or a price parameter associated with the ad. The score may also be a function of advertiser information. Alternatively, the score may be modified based on advertiser information. Ads may be filtered based on advertiser information.

Abstract: A system offers potential completions for fragments of text. The system may obtain a text fragment and identify documents that include the text fragment. The system may locate sentences within the documents that include at least a portion of the text fragment, identify sentence endings associated with the located sentences, and present the sentence endings as potential completions for the text fragment.

Abstract: Advertisers are permitted to put targeted ads on page on the web (or some other document of any media type). The present invention may do so by (i) obtaining content that includes available spots for ads, (ii) determining ads relevant to content, and/or (iii) combining content with ads determined to be relevant to the content.

Abstract: A client-side application (such as a browser, a browser plug-in, a browser toolbar plug-in, etc. on an end user's computer) is used to support the serving of content-relevant ads to the client device. The client-side application may provide such support by sending document information (such as a document identifier, document content, content relevance information, etc.) to a content ad server. The client-side application may also be used to combine content of the document and the content-relevant ads. For example, the client-side application may combine content of the document and the ads in a window (e.g., in a browser window), may provide the ads in a window above, below, adjacent to a document window, may provide the ads in “chrome” of the browser, etc.

Abstract: Advertisers are permitted to put targeted ads on page on the web (or some other document of any media type). The present invention may do so by (i) obtaining content that includes available spots for ads, (ii) determining ads relevant to content, and/or (iii) combining content with ads determined to be relevant to the content.

Abstract: Concept similarity may be used to help resolve ambiguities with respect to ads served using, at least, keyword targeting. More specifically, concept similarity may be used to help determine ad relevancy and/or ad scores.

Abstract: A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.

Abstract: Advertisers are permitted to put targeted ads on page on the web (or some other document of any media type). The present invention may do so by (i) obtaining content that includes available spots for ads, (ii) determining ads relevant to content, and/or (iii) combining content with ads determined to be relevant to the content.

Abstract: The relevance of advertisements to a user's interests is improved. In one implementation, the content of a web page is analyzed to determine a list of one or more topics associated with that web page. An advertisement is considered to be relevant to that web page if it is associated with keywords belonging to the list of one or more topics. One or more of these relevant advertisements may be provided for rendering in conjunction with the web page or related web pages.

Abstract: A system ranks documents based, at least in part, on a ranking model. The ranking model may be generated to predict the likelihood that a document will be selected. The system may receive a search query and identify documents relating to the search query. The system may then rank the documents based, at least in part, on the ranking model and form search results for the search query from the ranked documents.

Abstract: Advertisers are permitted to put targeted ads on page on the web (or some other document of any media type). The present invention may do so by (i) obtaining content that includes available spots for ads, (ii) determining ads relevant to content, and/or (iii) combining content with ads determined to be relevant to the content.

Abstract: Techniques are disclosed that locate implicitly defined semantic structures in a document, such as, for example, implicitly defined lists in an HTML document. The semantic structures can be used in the calculation of distance values between terms in the documents. The distance values may be used, for example, in the generation of ranking scores that indicate a relevance level of the document to a search query.

Abstract: The relevance of advertisements to a user's interests is improved. In one implementation, the content of a web page is analyzed to determine a list of one or more topics associated with that web page. An advertisement is considered to be relevant to that web page if it is associated with keywords belonging to the list of one or more topics. One or more of these relevant advertisements may be provided for rendering in conjunction with the web page or related web pages.

Abstract: Targeting information (also referred to as ad “serving constraints”) or candidate targeting information for an advertisement is identified. Targeting information may be identified by extracting topics or concepts from, and/or generating topics or concepts based on, ad information, such as information from a Web page to which an ad is linked (or some other Web page of interest to the ad or advertiser). The topics or concepts may be relevant queries associated with the Web page of interest, clusters, etc.

Abstract: A system offers potential completions for fragments of text. The system may obtain a text fragment and identify documents that include the text fragment. The system may locate sentences within the documents that include at least a portion of the text fragment, identify sentence endings associated with the located sentences, and present the sentence endings as potential completions for the text fragment.

Abstract: Advertisers are permitted to put targeted ads on, or to serve ads in association with, various content such as search results pages, Web pages, e-mail, etc., without requiring the advertiser to enter and/or maintain certain targeting information, such as keyword targeting. This may be accomplished by using a searchable data structure, such as an inverted index for example, of available advertiser Web information. The advertiser Web information may include terms and/or phrase extracted from the advertiser's Website. In particular, a search query may be used to search for matching advertisers, and therefore matching ads. For example, the search query can be used to search an inverted index including words and/or phrases extracted from advertiser Websites. The advertiser Web page, or some other identifier, can be used as a key to search for an associated ad.

Abstract: Techniques for finding related hyperlinked documents using link-based analysis are provided. Backlink and forwardlink sets can be utilized to find web pages that are related to a selected web page. The scores for links from web pages that are from the same host and links from web pages with numerous links can be reduced to achieve a better list of related web pages. The list of related web pages can be utilized as a feature to a word-based search engine or an addition to a web browser.

Abstract: A server improves the ranking of search results. The server includes a processor and a memory that stores instructions and a group of query themes. The processor receives a search query containing at least one search term, retrieves one or more objects based on the at least one search term and determines whether the search query corresponds to at least one of the group of query themes. The processor then ranks the one or more objects based on whether the search query corresponds to at least one of the group of query themes and provides the ranked one or more objects to a user.

Abstract: A system ranks documents based, at least in part, on a ranking model. The ranking model may be generated to predict the likelihood that a document will be selected. The system may receive a search query and identify documents relating to the search query. The system may then rank the documents based, at least in part, on the ranking model and form search results for the search query from the ranked documents.

Abstract: A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.