Information flow advertisement pushing method and device
An advertising push and information flow technology, applied in the field of Internet advertising, can solve problems such as poor advertising push effect, and achieve the effect of balancing the amount of advertising, improving the effect of advertising, and balancing the accuracy.
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Embodiment approach 1
[0090] In step S1012, it is specifically: the frequency of occurrence of the key text content in the historical behavior data is counted, and the behavior statistical result is obtained. In this embodiment, the behavior statistical result obtained is specifically: the occurrence of each key text content in the historical behavior data Frequency, or the results of sorting the frequency of occurrence of each key text content.
[0091] Specifically, for the key text content in the historical behavior data, it can specifically be: the search input content corresponding to the search input behavior; the title of the content concerned by the following behavior, the title content of the collected content in the collection behavior, and the title content of the downloaded content in the download behavior Content, the title content of the screen capture content of the screen capture behavior.
[0092]Correspondingly, step S1013 specifically includes: selecting the key text content with...
Embodiment approach 2
[0094] N preferred keyword libraries are set in the information flow advertisement push system, where N is a positive integer. For example, the following preference keyword databases can be set in the information flow advertisement push system: shopping preference keyword database, financial preference keyword database, travel preference keyword database, gourmet preference keyword database and so on. Each of the N preference keyword databases contains a plurality of preference keywords. In step S1012, it is specifically: in the historical behavior data, traverse whether there are preference keywords in N preference keyword databases, and obtain behavior statistics results. In this embodiment, the obtained behavior statistics results specifically belong to N preference keywords. keywords in the keyword library;
[0095] Correspondingly, in step S1013, it is specifically: determine the text content belonging to the keywords in the N preference keyword databases in the historic...
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