Target user directing method and apparatus
A target user and user technology, applied in the information field, can solve the problem that the accuracy of orientation does not reach the expected effect, and cannot effectively realize user conversion, etc., to achieve the effect of improving the delivery effect, probability and accuracy.
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Embodiment 1
[0054] Such as figure 1 As shown, this embodiment provides a target user orientation method, including:
[0055] Step S110: Using the similarity model, determine the similarity between the candidate user and the seed user;
[0056] Step S120: Using the conversion prediction model, predict the probability of the candidate user performing a predetermined conversion operation on the information to be delivered;
[0057] Step S130: According to the similarity and the probability, select the target user of the information to be delivered from the selected users.
[0058]Step S110 described in this embodiment uses a similarity model to determine the similarity between the candidate user and the seed user, where the similarity can be represented by a value from 0 to 1, or by a percentage. In this embodiment, the seed users may be users who are interested in the subject matter of the information to be delivered provided by the information to be delivered, or users who have already u...
Embodiment 2
[0066] Such as figure 1 As shown, this embodiment provides a target user orientation method, including:
[0067] Step S110: Using the similarity model, determine the similarity between the candidate user and the seed user;
[0068] Step S120: Using the conversion prediction model, predict the probability of the candidate user performing a predetermined conversion operation on the information to be delivered;
[0069] Step S130: According to the similarity and the probability, select the target user of the information to be delivered from the selected users.
[0070] The step S130 may include:
[0071] Using the similarity, the probability and the preset functional relationship to calculate the directional score of the candidate user;
[0072] The candidate user whose orientation score satisfies a preset orientation condition is selected as the target user.
[0073] In this embodiment, the similarity can be a value between 0 and 1, and the probability is also a value betwee...
Embodiment 3
[0077] Such as figure 1 As shown, this embodiment provides a target user orientation method, including:
[0078] Step S110: Using the similarity model, determine the similarity between the candidate user and the seed user;
[0079] Step S120: Using the conversion prediction model, predict the probability of the candidate user performing a predetermined conversion operation on the information to be delivered;
[0080] Step S130: According to the similarity and the probability, select the target user of the information to be delivered from the selected users.
[0081] The step S130 may include:
[0082] Using the similarity, the probability and the preset functional relationship to calculate the directional score of the candidate user;
[0083] The candidate user whose orientation score satisfies a preset orientation condition is selected as the target user.
[0084] The calculating the directional score of the candidate user by using the similarity, the probability and the ...
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