CN-122022867-A - Intelligent construction and full-link monitoring attribution method and system for user generated content

CN122022867ACN 122022867 ACN122022867 ACN 122022867ACN-122022867-A

Abstract

The invention provides an intelligent construction and full-link monitoring attribution method and system of user generated content, which relate to the technical field of data processing, and the method comprises the steps of receiving an access request sent by a user terminal through executing corresponding operation on an interactive medium; analyzing the access request to obtain attribution information, acquiring target image-text notes based on the attribution information, packaging the target image-text notes into a calling instruction of a target application program, sending the calling instruction to the user terminal, enabling the user terminal to automatically start the target application program, pre-filling a content release interface of the target image-text notes by using the target image-text notes, monitoring propagation condition data of the target image-text notes after the target image-text notes are released in the target application program on time, analyzing the propagation condition data, and associating analysis results with attribution information to generate attribution analysis reports. The invention can reduce the participation threshold of the user, enlarge the transmission range of the content generated by the user and solve the problem of data island.

Inventors

ZHU DAHAO
XU YIKE
LIN JINTIAN
SHU MAN
LI ZIQIN
CAI ZHAOJIN

Assignees

皓量科技(深圳)有限公司

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (9)

1. An intelligent construction and full link monitoring attribution method of user generated content, comprising: Receiving an access request sent by a user terminal through executing corresponding operation on an interactive medium, wherein the interactive medium carries attribution information, and the attribution information comprises merchant basic information and marketing activity service attributes; Analyzing the access request to obtain the attribution information; acquiring target image-text notes based on the attribution information, wherein the target image-text notes are generated based on the merchant basic information; The method comprises the steps of packaging the target image-text note into a calling instruction of a target application program and sending the calling instruction to the user terminal, wherein the calling instruction is used for enabling the user terminal to automatically start the target application program and pre-filling a content release interface of the target image-text note by using the target image-text note; And monitoring the propagation condition data of the target graphic note after being released in the target application program on time, analyzing the propagation condition data, and correlating an analysis result with the attribution information to generate an attribution analysis report.
2. The intelligent construction and full link monitoring attribution method for user generated content according to claim 1, wherein based on the attribution information, obtaining a target teletext specifically comprises: Judging whether a preset content library is configured for a corresponding merchant according to the merchant identity, wherein the merchant basic information comprises the merchant identity; if the merchant is configured with a preset content library, judging whether unused image-text notes exist in the preset content library; If unused graphic notes exist in the preset content library, selecting one graphic note from all unused graphic notes as the target graphic note; If the unused graphic notes do not exist in the preset content library, inputting the merchant basic information into a first generated artificial intelligence large model, and acquiring the target graphic notes output by the first generated artificial intelligence large model; And if the merchant is not configured with a preset content library, inputting the merchant basic information into a first generated artificial intelligence large model, and obtaining the target image-text note output by the first generated artificial intelligence large model.
3. The intelligent construction and full link monitoring attribution method for user generated content according to claim 2, wherein selecting one of all unused teletext as the target teletext comprises: and selecting one image-text note from all unused image-text notes as the target image-text note according to a random algorithm or a polling algorithm.
4. The intelligent construction and full link monitoring attribution method of user generated content according to claim 1, wherein the calling instruction is further packaged with geographic location information of a merchant for pre-filling geographic location tags in the content publishing interface.
5. The intelligent construction and all-link monitoring attribution method of user generated content according to claim 1, further comprising, before receiving an access request sent by a user terminal by performing a corresponding operation on an interactive medium: acquiring the attribution information; generating a unique guide identifier through an encryption algorithm based on the attribution information; mapping the guide identifier to the interactive medium.
6. The intelligent construction and all-link monitoring attribution method of user generated content according to claim 5, further comprising, after obtaining the attribution information: judging whether the merchant is to configure a preset content library or not; if the merchant is to configure a preset content library, generating a plurality of differentiated graphic notes by using a second generation type artificial intelligence large model based on the merchant basic information, and storing the graphic notes confirmed or adjusted by the merchant into the preset content library; and if the merchant does not need to configure a preset content library, storing the merchant basic information.
7. The intelligent construction and full link monitoring attribution method of user generated content according to claim 1, wherein the merchant base information comprises a merchant identity, a merchant brand name, merchant geographic location information, product information and a core selling point; The marketing campaign service attributes include a service contact type, a channel source identification, and a campaign batch.
8. The intelligent construction and full-link monitoring attribution method of user generated content according to claim 1, wherein the interactive medium is a two-dimensional code.
9. An intelligent building and full link monitoring attribution system for user generated content, comprising: The system comprises a receiving module, a receiving module and a processing module, wherein the receiving module is used for receiving an access request sent by a user terminal through executing corresponding operation on an interactive medium, and the interactive medium carries attribution information which comprises merchant basic information and marketing activity business attributes; The analysis module is used for analyzing the access request to obtain the attribution information; the acquisition module is used for acquiring target image-text notes based on the attribution information, wherein the target image-text notes are generated based on the merchant basic information; The packaging module is used for packaging the target image-text note into a calling instruction of a target application program and sending the calling instruction to the user terminal, wherein the calling instruction is used for enabling the user terminal to automatically start the target application program and pre-filling a content release interface of the target image-text note by using the target image-text note; and the monitoring module is used for monitoring the propagation condition data of the target graphic note issued in the target application program on time, analyzing the propagation condition data and correlating an analysis result with the attribution information so as to generate an attribution analysis report.

Description

Intelligent construction and full-link monitoring attribution method and system for user generated content Technical Field The invention relates to the technical field of data processing, in particular to an intelligent construction and full-link monitoring attribution method and system of user generated content. Background With the development of internet technology, business marketing logic gradually changes from a mode of active search by users to a content social mode based on algorithmic recommendations. The core logic of the former is that people find shops, namely users actively search merchants on a platform after generating clear consumption demands, and make consumption decisions according to a scoring system and a rating list. The core logic of the latter is to find people for the store, namely, attractive store content or experience notes are actively pushed to potential users based on the interest patterns of the users and an algorithm recommendation mechanism. This mode enables incremental acquisition and brand fission propagation by exciting its potential needs with premium content when the user has no explicit intent to consume. In the prior art, a common scheme is that a merchant guides a user to jump to a merchant homepage or an evaluation page of a specific platform by generating a two-dimensional code or a link containing the link of the platform so as to score and write a graphic note. However, in the above scheme, the user is required to manually write the text and text notes, so that the participation threshold of the user is high, secondly, because the user generated content is sealed in a specific platform and can be found only by the active search of other users, the transmission range of the user generated content is small, and furthermore, the method leads to the fault of a data link, the merchant can not accurately track and distinguish the flow and the final conversion effect brought by different channels (such as different stores and different materials), and a data island is formed, so that the investment return rate of each channel is difficult to calculate. Disclosure of Invention In view of the above, the present invention provides a method and system for intelligent construction of user generated content and full link monitoring attribution. The invention adopts the following technical scheme: In a first aspect, the present invention provides a method for intelligent construction and full link monitoring attribution of user generated content, comprising: Receiving an access request sent by a user terminal through executing corresponding operation on an interactive medium, wherein the interactive medium carries attribution information, and the attribution information comprises merchant basic information and marketing activity service attributes; Analyzing the access request to obtain the attribution information; acquiring target image-text notes based on the attribution information, wherein the target image-text notes are generated based on the merchant basic information; The method comprises the steps of packaging the target image-text note into a calling instruction of a target application program and sending the calling instruction to the user terminal, wherein the calling instruction is used for enabling the user terminal to automatically start the target application program and pre-filling a content release interface of the target image-text note by using the target image-text note; And monitoring the propagation condition data of the target graphic note after being released in the target application program on time, analyzing the propagation condition data, and correlating an analysis result with the attribution information to generate an attribution analysis report. Optionally, based on the attribution information, acquiring the target image-text note specifically includes: Judging whether a preset content library is configured for a corresponding merchant according to the merchant identity, wherein the merchant basic information comprises the merchant identity; if the merchant is configured with a preset content library, judging whether unused image-text notes exist in the preset content library; If unused graphic notes exist in the preset content library, selecting one graphic note from all unused graphic notes as the target graphic note; If the unused graphic notes do not exist in the preset content library, inputting the merchant basic information into a first generated artificial intelligence large model, and acquiring the target graphic notes output by the first generated artificial intelligence large model; And if the merchant is not configured with a preset content library, inputting the merchant basic information into a first generated artificial intelligence large model, and obtaining the target image-text note output by the first generated artificial intelligence large model. Optionally, selecting one of the unused text-to-text notes as the target text-to