PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA
First Claim
Patent Images
1. A method of selecting content comprising:
- receiving, at a processing circuit, a content selection request for third-party content to be presented by a client device in conjunction with first-party content, the content selection request including a client identifier;
retrieving data indicative of one or more topical interest categories associated with the client identifier;
identifying, by the processing circuit, one of the topical interest categories as an input for a prediction model;
selecting, by the processing circuit, a set of third-party content eligible for selection based in part on the one or more topical interest categories associated with the client identifier and based in part on a topic of the third-party content;
using the prediction model to predict a predicted action metric for the third-party content in the set, the predicted action metric corresponding to a predicted likelihood of an online action occurring as a result of the third-party content being selected;
selecting, by the processing circuit, third-party content from the set based in part on the predicted action metric associated with the third-party content; and
providing, by the processing circuit, an indication of the selected third-party content to be presented in conjunction with the first-party content.
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Abstract
Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.
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Citations
20 Claims
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1. A method of selecting content comprising:
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receiving, at a processing circuit, a content selection request for third-party content to be presented by a client device in conjunction with first-party content, the content selection request including a client identifier; retrieving data indicative of one or more topical interest categories associated with the client identifier; identifying, by the processing circuit, one of the topical interest categories as an input for a prediction model; selecting, by the processing circuit, a set of third-party content eligible for selection based in part on the one or more topical interest categories associated with the client identifier and based in part on a topic of the third-party content; using the prediction model to predict a predicted action metric for the third-party content in the set, the predicted action metric corresponding to a predicted likelihood of an online action occurring as a result of the third-party content being selected; selecting, by the processing circuit, third-party content from the set based in part on the predicted action metric associated with the third-party content; and providing, by the processing circuit, an indication of the selected third-party content to be presented in conjunction with the first-party content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for selecting content comprising a processing circuit operable to:
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receive a content selection request for third-party content to be presented by a client device in conjunction with first-party content, the content selection request including a client identifier; retrieve data indicative of one or more topical interest categories associated with the client identifier; identify one of the topical interest categories as an input for a prediction model; select a set of third-party content eligible for selection based in part on the one or more topical interest categories associated with the client identifier and based in part on a topic of the third-party content; use the prediction model to predict a predicted action metric for the third-party content in the set, the predicted action metric corresponding to a predicted likelihood of an online action occurring as a result of the third-party content being selected; select third-party content from the set based in part on the predicted action metric associated with the third-party content; and provide an indication of the selected third-party content to be presented in conjunction with the first-party content. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer-readable storage medium having machine instructions stored therein, the instructions being executable by a processor to cause the processor to perform operations comprising:
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receiving a content selection request for third-party content to be presented by a client device in conjunction with first-party content, the content selection request including a client identifier; retrieving data indicative of one or more topical interest categories associated with the client identifier; identifying one of the topical interest categories as an input for a prediction model; selecting a set of third-party content eligible for selection based in part on the one or more topical interest categories associated with the client identifier and based in part on a topic of the third-party content; using the prediction model to predict a predicted action metric for the third-party content in the set, the predicted action metric corresponding to a predicted likelihood of an online action occurring as a result of the third-party content being selected; selecting third-party content from the set based in part on the predicted action metric associated with the third-party content; and providing an indication of the selected third-party content to be presented in conjunction with the first-party content.
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Specification