E-commerce advertisement ROAS anomaly detection method and device and electronic equipment
An anomaly detection and advertising technology, applied in the computer field, can solve problems such as low accuracy rate, too subjective detection results, timeliness, and unacceptable labor costs, and achieve the effect of improving detection rate and objective and accurate detection
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0032] This embodiment proposes a method for detecting ROAS anomaly in e-commerce advertisements, and the execution subject is a server.
[0033] The server may use any computing device in the prior art capable of detecting anomalies in the ROAS of e-commerce advertisements, which will not be repeated here.
[0034] see figure 1 Shown is a flow chart of a method for detecting ROAS anomaly in e-commerce advertisements. This embodiment proposes a method for detecting ROAS anomalies in e-commerce advertisements, including:
[0035] Step 100: Acquire advertisement information of an e-commerce advertisement to be subjected to ROAS detection.
[0036] In the above step 100, the advertisement information includes but is not limited to: the text of the advertisement, the image of the advertisement, and the video frequency band of the advertisement.
[0037] Step 102: Input the advertisement information of the e-commerce advertisement into a category classifier, and determine the cat...
Embodiment 2
[0084] This embodiment provides a device for detecting ROAS anomaly in e-commerce advertisements, which is used for executing the above-mentioned method for detecting ROAS anomalies in e-commerce advertisements.
[0085] see image 3 Shown is a schematic structural diagram of a ROAS abnormality detection device for e-commerce advertisements. This embodiment proposes a ROAS abnormality detection device for e-commerce advertisements, including:
[0086] an acquisition module 200, configured to acquire advertisement information of e-commerce advertisements to be subjected to ROAS detection;
[0087] A determination module 202, configured to input the advertisement information of the e-commerce advertisement into a category classifier, and determine the category to which the e-commerce advertisement belongs;
[0088] The first processing module 204 is configured to obtain the ROAS and commodity unit resources of the commodity of the category to which the e-commerce advertisement ...
Embodiment 3
[0112] This embodiment proposes a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the steps of the method for detecting ROAS anomaly in e-commerce advertisements described in the foregoing embodiment 1 are executed. . For specific implementation, refer to Method Embodiment 1, which will not be repeated here.
[0113] In addition, see Figure 4 A schematic structural diagram of an electronic device is shown. This embodiment also provides an electronic device. The electronic device includes a bus 51 , a processor 52 , a transceiver 53 , a bus interface 54 , a memory 55 and a user interface 56 . The above-mentioned electronic device includes the memory 55 .
[0114] In this embodiment, the above-mentioned electronic device further includes: one or more programs stored on the memory 55 and executable on the processor 52, configured to be executed by the above-mentio...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com