Methods and apparatus for serving relevant advertisements
First Claim
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1. A computer-implemented method comprising:
- analyzing, by a server system comprising at least one processor on a network, a target document to identify one or more topics corresponding to the target document, the analyzing comprising;
identifying meta-information associated with the target document, the meta-information comprising a reference to another document;
based on the reference in the meta-information, supplementing content of the target document using content associated with the other document referenced in the meta-information associated with the target document to obtain a revised target document;
obtaining a set of rules that specify weights for each term of a plurality of terms extracted from a document, with a weight of a term being a function of a frequency of the term in the document;
extracting a plurality of terms from the revised target document;
generating, based on the set of rules, a term vector that represents weights for the plurality of terms that appear within text of the revised target document; and
determining the one or more topics that correspond to the target document, by determining that one or more terms of the term vector have one or more respective weights that each exceed a defined threshold;
identifying targeting information for an advertisement;
determining, by the server system, whether the advertisement is relevant to the target document by comparing the targeting information for the advertisement to the one or more topics corresponding to the target document; and
serving the advertisement based on determining that the advertisement is relevant to the target document,wherein comparing comprises scoring a similarity between the targeting information for the advertisement and the one or more topics that correspond to the target document and determining that the advertisement is relevant to the target document when the similarity is above a threshold score.
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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.
61 Citations
16 Claims
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1. A computer-implemented method comprising:
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analyzing, by a server system comprising at least one processor on a network, a target document to identify one or more topics corresponding to the target document, the analyzing comprising; identifying meta-information associated with the target document, the meta-information comprising a reference to another document; based on the reference in the meta-information, supplementing content of the target document using content associated with the other document referenced in the meta-information associated with the target document to obtain a revised target document; obtaining a set of rules that specify weights for each term of a plurality of terms extracted from a document, with a weight of a term being a function of a frequency of the term in the document; extracting a plurality of terms from the revised target document; generating, based on the set of rules, a term vector that represents weights for the plurality of terms that appear within text of the revised target document; and determining the one or more topics that correspond to the target document, by determining that one or more terms of the term vector have one or more respective weights that each exceed a defined threshold; identifying targeting information for an advertisement; determining, by the server system, whether the advertisement is relevant to the target document by comparing the targeting information for the advertisement to the one or more topics corresponding to the target document; and serving the advertisement based on determining that the advertisement is relevant to the target document, wherein comparing comprises scoring a similarity between the targeting information for the advertisement and the one or more topics that correspond to the target document and determining that the advertisement is relevant to the target document when the similarity is above a threshold score. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer readable medium storing instructions that are executable by one or more processors configured to perform operations comprising:
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analyzing, by a server system comprising at least one processor on a network, a target document to identify one or more topics corresponding to the target document, the analyzing comprising; identifying meta-information associated with the target document, the meta-information comprising a reference to another document; based on the reference in the meta-information, supplementing content of the target document using content associated with the other document referenced in the meta-information associated with the target document to obtain a revised target document; obtaining a set of rules that specify weights for each term of a plurality of terms extracted from a document, with a weight of a term being a function of a frequency of the term in the document; extracting a plurality of terms from the revised target document; generating, based on the set of rules, a term vector that represents weights for the plurality of terms that appear within text of the revised target document; and determining the one or more topics that correspond to the target document, by determining that one or more terms of the term vector have one or more respective weights that each exceed a defined threshold; identifying targeting information for an advertisement; determining, by the server system, whether the advertisement is relevant to the target document by comparing the targeting information for the advertisement to the one or more topics corresponding to the target document; and serving the advertisement based on determining that the advertisement is relevant to the target document, wherein comparing comprises scoring a similarity between the targeting information for the advertisement and the one or more topics that correspond to the target document and determining that the advertisement is relevant to the target document when the similarity is above a threshold score. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-implemented method comprising:
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analyzing, by a server system comprising at least one processor on a network, a target document to identify one or more topics corresponding to the target document, the analyzing comprising; identifying meta-information associated with the target document, the meta-information comprising a reference to another document; based on the reference in the meta-information, supplementing content of the target document using content associated with the other document referenced in the meta-information associated with the target document to obtain a revised target document; obtaining a set of rules that specify weights for each term of a plurality of terms extracted from a document, with a weight of a term being a function of a frequency of the term in the document; extracting a plurality of terms from the revised target document; generating, based on the set of rules, a term vector that represents weights for the plurality of terms that appear within text of the revised target document, wherein the weights are based on at least one of (A) whether the term appears in the text of the revised target document more frequently, relative to one or more other terms that appear less frequently, and (B) whether the term appears less frequently, relative to one or more other terms that more appear frequently, across a collection of documents to which the target document belongs; and determining the one or more topics that correspond to the target document, by determining that one or more terms of the term vector have one or more respective weights that each exceed a defined threshold; identifying targeting information for an advertisement; determining, by the server system, whether the advertisement is relevant to the target document by comparing the targeting information, previously provided by an advertiser for the advertisement, to the one or more topics corresponding to the target document; and serving the advertisement based on determining that the advertisement is relevant to the target document, wherein comparing comprises scoring a similarity between the targeting information for the advertisement and the one or more topics that correspond to the target document and determining that the advertisement is relevant to the target document when the similarity is above a threshold score. - View Dependent Claims (16)
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Specification