A method and system for labeling an advertisement label
An advertising and labeling technology, applied in advertising, marketing, instruments, etc., to achieve the effect of batch labeling engineering, cost reduction, and efficiency improvement
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Embodiment 1
[0054] Such as figure 1 As shown, it is a schematic flow chart of an embodiment of the marking method of the advertisement label of the present invention. In this embodiment, by calculating the similarity of each advertisement and constructing a probability transition matrix, the labels that need to be marked on the untagged advertisements are selected from the labeled advertisements through the probability transition matrix, and automatic labeling is realized. The labeling method of advertisement label in the present embodiment comprises the following steps:
[0055] Step 101. Obtain tag information of each advertisement, and obtain the similarity between the tags of each advertisement in combination with the tag information of the advertisement.
[0056] In this embodiment, the labeled advertisements are used to label the advertisements that have a certain correlation with them and the labels are not labeled, so that the labeled advertisements can be fully utilized to impro...
Embodiment 2
[0067] Such as figure 2 As shown, it is an optional embodiment of the labeling method of the advertisement label described in the embodiment of the present invention. Compared with the flow in the embodiment shown in Embodiment 1, this embodiment optionally describes the process of constructing a label matrix and obtaining a score matrix. The method described in this embodiment includes the following steps:
[0068] Step 201. Obtain the behavioral similarity between the advertisements by clicking on the user information of the advertisements.
[0069] Obtain the user set of each advertisement separately, and calculate the behavioral similarity between the advertisements through the user set of each advertisement, as follows:
[0070] A and B are the user sets of advertisement a and b respectively, which respectively represent the clicks of their users. Then, the cosine distance is used to calculate the user similarity of the behavior of advertisement a and advertisement b a...
Embodiment 3
[0096] In this implementation, a specific example is used to illustrate the labeling method of the advertisement label of the present invention. In this embodiment, there are a total of three advertisements in the advertisement library, which are respectively marked as ad1, ad2, and ad3, where ad1 is marked with the t1 label, ad2 is marked with the t2 and t3 labels, and ad3 is not marked with the label. Now we need To label ad3, the labeling steps are as follows:
[0097] First calculate the behavior similarity between the three advertisements, among them, the users who click ad1 are {u1, u2, u3}, the users who click ad2 are {u2, u3, u4, u5}, and the users who click ad3 are {u2, u5, u6}, then
[0098]
[0099]
[0100] Then calculate the similarity of the description information between the three advertisements. Among them, the word segmentation after word segmentation and stop word filtering for ad1 are: word1, word2, word3; the word segmentation after word segmentat...
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