Organization system for ad campaigns
First Claim
Patent Images
1. A computer-implemented method comprising:
- receiving targeting keywords for an advertisement campaign;
assigning, by a computer, each of the targeting keywords to one or more topic clusters, wherein at least some of the targeting keywords are assigned to multiple topic clusters;
for each topic cluster, determining, by a computer and for pairs of targeting keywords for the topic cluster, a measure of similarity between sets of assigned clusters for the targeting keywords in the pair, the set of assigned clusters for each of the targeting keywords in the pair specifying the one or more topic clusters to which the targeting keyword was assigned;
identifying, by a computer and based on the measure of similarity between the sets of assigned clusters, related keyword pairs, each related keyword pair being a keyword pair for which the measure of similarity meets a threshold;
clustering, by a computer, the identified related keyword pairs into a plurality of sets of pair clusters, the clustering being exclusive of the pairs of targeting keywords for which the measure of similarity failed to meet the threshold; and
creating, by a computer and based on the clustering, a new ad group for the advertisement campaign, the new ad group specifying at least one advertisement that is targeted using a set of the pair clusters.
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Abstract
An automatic account organization tool is provided to organize a large adgroup into smaller adgroups with semantically meaningful names. For example, a set of input keywords is received, semantically related pairs of keywords are identified from the set of input keywords, and hierarchical clustering is applied to the pairs of keywords to identify a set of clusters of keywords, each cluster having semantically related keywords. A name can be determined for each of the clusters.
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Citations
24 Claims
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1. A computer-implemented method comprising:
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receiving targeting keywords for an advertisement campaign; assigning, by a computer, each of the targeting keywords to one or more topic clusters, wherein at least some of the targeting keywords are assigned to multiple topic clusters; for each topic cluster, determining, by a computer and for pairs of targeting keywords for the topic cluster, a measure of similarity between sets of assigned clusters for the targeting keywords in the pair, the set of assigned clusters for each of the targeting keywords in the pair specifying the one or more topic clusters to which the targeting keyword was assigned; identifying, by a computer and based on the measure of similarity between the sets of assigned clusters, related keyword pairs, each related keyword pair being a keyword pair for which the measure of similarity meets a threshold; clustering, by a computer, the identified related keyword pairs into a plurality of sets of pair clusters, the clustering being exclusive of the pairs of targeting keywords for which the measure of similarity failed to meet the threshold; and creating, by a computer and based on the clustering, a new ad group for the advertisement campaign, the new ad group specifying at least one advertisement that is targeted using a set of the pair clusters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system comprising:
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a database storing targeting keywords for an advertising campaign; one or more computers coupled to the database, the one or more computers being configured to interact with the database and perform operations comprising; receiving the targeting keywords from the database; assigning each of the targeting keywords to one or more topic clusters, wherein at least some of the targeting keywords are assigned to multiple topic clusters; for each topic cluster, determining, for pairs of targeting keywords for the topic cluster, a measure of similarity between sets of assigned clusters for the targeting keywords in the pair, the set of assigned clusters for each of the targeting keywords in the pair specifying the one or more topic clusters to which the targeting keyword was assigned; identifying, based on the measure of similarity between the sets of assigned clusters, related keyword pairs, each related keyword pair being a keyword pair for which the measure of similarity meets a threshold; clustering the identified related keyword pairs into a plurality of sets of pair clusters, the clustering being exclusive of the pairs of targeting keywords for which the measure of similarity failed to meet the threshold; and creating, based on the clustering, a new ad group for the advertisement campaign, the new ad group specifying at least one advertisement that is targeted using a set of the pair clusters. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer-readable medium comprising instructions that upon execution by one or more computers cause the one or more computers to perform operations including:
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receiving targeting keywords for an advertisement campaign; assigning each of the targeting keywords to one or more topic clusters, wherein at least some of the targeting keywords are assigned to multiple topic clusters; for each topic cluster, determining, for pairs of targeting keywords for the topic cluster, a measure of similarity between sets of assigned clusters for the targeting keywords in the pair, the set of assigned clusters for each of the targeting keywords in the pair specifying the one or more topic clusters to which the targeting keyword was assigned; identifying, based on the measure of similarity between the sets of assigned clusters, related keyword pairs, each related keyword pair being a keyword pair for which the measure of similarity meets a threshold; clustering the identified related keyword pairs into a plurality of sets of pair clusters, the clustering being exclusive of the pairs of targeting keywords for which the measure of similarity failed to meet the threshold; and creating, based on the clustering, a new ad group for the advertisement campaign, the new ad group specifying at least one advertisement that is targeted using a set of the pair clusters. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification