METHOD OF ENHANCING THE ACCURACY OF PREDICTING THE GENDER OF NETWORK USERS
First Claim
1. A method of enhancing the accuracy to predict the gender of a network user, comprising the steps of:
- obtaining campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices which clicked in the respective advertising campaigns;
assigning the gender information for each unknown device by finding out the advertising campaigns that are clicked by the unknown device, multiplying the campaign gender distribution ratios of the clicked advertising campaigns, and comparing the multiplied result with a first certain value;
obtaining update campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices and unknown devices which clicked in the respective advertising campaigns; and
comparing a quadratic sum of the difference of the old and update campaign gender distribution ratios with a second certain value for each advertising campaign, and back to the assigning step if the quadratic sum is greater than a second certain value.
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Abstract
A method of enhancing the accuracy to predict the gender of a network user comprises: obtaining campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices which clicked in the respective advertising campaigns; assigning the gender information for each unknown device by finding out the advertising campaigns that are clicked by the unknown device, multiplying the campaign gender distribution ratios of the clicked advertising campaigns, and comparing the multiplied result with a first certain value; obtaining update campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices and unknown devices which clicked in the respective advertising campaigns; and comparing a quadratic sum of the difference of the old and update campaign gender distribution ratios with a second certain value for each advertising campaign, and back to the assigning step if the quadratic sum is greater than a second certain value.
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Citations
2 Claims
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1. A method of enhancing the accuracy to predict the gender of a network user, comprising the steps of:
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obtaining campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices which clicked in the respective advertising campaigns; assigning the gender information for each unknown device by finding out the advertising campaigns that are clicked by the unknown device, multiplying the campaign gender distribution ratios of the clicked advertising campaigns, and comparing the multiplied result with a first certain value; obtaining update campaign gender distribution ratios for each advertising campaign by counting the gender information of groundtruth devices and unknown devices which clicked in the respective advertising campaigns; and comparing a quadratic sum of the difference of the old and update campaign gender distribution ratios with a second certain value for each advertising campaign, and back to the assigning step if the quadratic sum is greater than a second certain value. - View Dependent Claims (2)
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Specification