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Advertising intelligent recommendation method, server and storage medium

A recommendation method and server technology, applied in the computer field, can solve problems such as low click-through rate of advertisements, poor user experience, and failure to consider users, so as to achieve the effect of advertising

Active Publication Date: 2018-11-09
KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

The click-through rate of the ad is not high and the user experience is poor because the interests of the user are not considered

Method used

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  • Advertising intelligent recommendation method, server and storage medium
  • Advertising intelligent recommendation method, server and storage medium
  • Advertising intelligent recommendation method, server and storage medium

Examples

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Embodiment Construction

[0043] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] Such as figure 1 Shown is a schematic diagram of a preferred embodiment of the server 1 of the present invention.

[0045] In this embodiment, the server 1 refers to a product service platform, and the server 1 may be a server, a tablet computer, a personal computer, a portable computer and other electronic devices with computing functions.

[0046] The server 1 includes: a memory 11 , a processor 12 , a display 13 , a network interface 14 and a communication bus 15 . Wherein, the network interface 14 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The communication bus 15 is used to realize connection communication between these components.

[0047] The memory 11 includes at least one type of readable storage medium. The at least one type of readable ...

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Abstract

The present invention provides an advertising intelligent recommendation method. The method comprises the steps of: collecting historical behavior data of all the users, classifying the historical behavior data of all the users, generating a user portrait data dimension table in different dimensions, and making corresponding feature tags for the users according to a corresponding relation of different historical behavior data and the user portrait data dimension table in different dimensions; employing a preset screening rule to perform screening of an advertising to be put according to the user feature tags and an advertising preset condition, and obtaining a candidate advertising set; and finally, performing statistics of the real-time behavior data of all the users, employing a preset scoring formula to perform scoring of the candidate advertising in the candidate advertising set, performing descending sort, and giving priority to recommend the advertisings ranking higher to the users. The advertising intelligent recommendation method can recommend advertisings for the users so as to improve the advertising input accuracy. The present invention further provides an advertising intelligent recommendation device and a storage medium.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an advertising intelligence recommendation method, a server and a computer-readable storage medium. Background technique [0002] With the development of Internet technology, Internet advertising has gradually replaced traditional advertising and has become an important form of advertising. The income of Internet advertising is closely related to the Click-Through-Rate (CTR) of the advertisement. CTR is an important index to measure the effect of Internet advertisement. The higher the CTR, the better the effect of the advertisement. In order to improve CTR, it is necessary to analyze big data, recommend advertisements to users, and realize accurate placement of advertisements. [0003] At present, the existing advertisement recommendation method is that the advertisement delivery management platform selects the already produced advertisements related to the user based ...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0255G06Q30/0271Y02D10/00
Inventor 张建米明安
Owner KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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