Advertisement-putting-oriented potential user searching and user model ordering method
A user model and advertising delivery technology, applied in the field of search advertising, can solve the problems of reducing platform revenue, loss of traffic, and not distinguishing between user differentiation, so as to achieve the effect of increasing profitability and improving accuracy
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[0041] In order to better understand the present invention, the relevant content is firstly introduced in detail.
[0042] As mentioned earlier, Prospective Customer Search (PCS) aims to find and rank potential users for an advertisement (ad for short). Its input is a query and related user collections, and its output is based on the user's preference for the target advertisement. Sorting sequence, the higher the ranking, the more likely the user will purchase the product. PCS mines the most likely potential users by analyzing the differences in user preferences for specific products, and pushes advertisements to this group of people. Therefore, PCS and ad search are like the front and back of the coin, by selectively pushing ads to the most likely potential users to increase the sponsor's yield, and ad search by accurately and comprehensively delivering the most relevant ads to users Improve user experience. Although the starting points of the two are different, the goal is...
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