Similar crowd expansion method based on automatic selection attribute
An expansion method and crowd-based technology, applied in the field of Internet advertising, can solve the problems of inaccurate advertising crowd, poor control of crowd size, and difficulty in achieving advertising effects, etc., to achieve strong operability, controllable advertising, and saving advertising cost effect
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Embodiment 1
[0037] figure 1 It is a flowchart of a similar group expansion method based on automatic attribute selection.
[0038] Such as figure 1 As shown, a similar group expansion method based on automatic attribute selection includes the following steps:
[0039] Step 1. Known Internet customer population list G and all population list A;
[0040] Step 2: Subtract the Internet customer population list G from the total population list A to obtain the remaining population list B. Random sampling is performed on the remaining population list B to obtain a control group list with the same number of users as the Internet customer population list G P;
[0041] Step 3: Obtain the weight of each attribute of all users in the Internet customer population list G and the control population list P through the Internet advertising system;
[0042] Step 4: Calculate the difference weight of each attribute in the Internet customer population list G and the control population list P according to the weight...
Embodiment 2
[0047] figure 1 It is a flowchart of a similar group expansion method based on automatic attribute selection.
[0048] Such as figure 1 As shown, a similar group expansion method based on automatic attribute selection includes the following steps:
[0049] Step 1: Obtain a list G of Internet customers who have used the advertising product through the advertiser, and then obtain a list of all groups A according to the Internet advertising system;
[0050] Step 2: Subtract the Internet customer population list G from the total population list A to obtain the remaining population list B. Random sampling is performed on the remaining population list B to obtain a control group list with the same number of users as the Internet customer population list G P;
[0051] Step 3: Obtain the weight of each attribute of all users in the Internet customer population list G and the control population list P through the Internet advertising system;
[0052] Step 4: Calculate the difference weight of...
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