CN118261647A - Industrial platform advertisement display method, device and medium based on user behavior - Google Patents
Industrial platform advertisement display method, device and medium based on user behavior Download PDFInfo
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Abstract
The application discloses an industrial platform advertisement display method, equipment and medium based on user behaviors, and relates to the technical field of advertisement display. The method comprises the following steps: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform. According to the method, the advertisements related to the platform content and the advertisements corresponding to the user demands are displayed in the industrial platform, and the corresponding advertisements are displayed at proper time and position, so that the participation degree, the advertisement conversion rate and the advertisement click rate of the user are improved.
Description
Technical Field
The application relates to the technical field of advertisement display, in particular to an industrial platform advertisement display method, equipment and medium based on user behaviors.
Background
The industrial service platform is an online platform for providing industrial field service, which connects industrial enterprises and service providers and provides one-stop service solutions for the enterprises. Common industrial service platforms have few profit points and lack conventional profit modes such as advertisements, and the conventional advertisement pop-up mode does not always consider the behaviors and scenes of users, so that the advertisement effect is not ideal, the user experience is poor, and the profit improvement is not obvious.
Through the above analysis, the problems and defects existing in the prior art are as follows:
In the prior art, the industrial service platform has few profit points, and the traditional advertisement pop-up mode often does not consider the behavior and the scene of the user, so that the advertisement effect is not ideal.
Disclosure of Invention
The embodiment of the application provides an industrial platform advertisement display method, equipment and medium based on user behaviors, which can solve the problems that the industrial service platform in the prior art has few profit points, and the conventional advertisement pop-up mode usually does not consider the behaviors and scenes of users, so that the advertisement effect is not ideal.
In a first aspect, an embodiment of the present application provides an industrial platform advertisement display method based on user behavior. The method comprises the following steps: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
In one implementation manner of the application, the method for acquiring the user data and the industrial platform use data in real time specifically comprises the following steps: obtaining user data through a crawler technology, wherein the enterprise user data comprise basic data and production data, the basic data comprise enterprise category data, position data and worker working time, the production data comprise enterprise transaction data and equipment failure rate, and the common user data comprise identity information and academic information; and acquiring the use data of the industrial platform through the tracker, wherein the use data also comprises the residence time and the query times of the search page of the search term.
In one implementation of the present application, before acquiring the basic data of the user and the usage data of the industrial platform in real time, the method further includes: pushing user awareness when registering account numbers on the industrial platform, wherein the user awareness comprises a data acquisition protocol; under the condition of agreeing to a data acquisition protocol, acquiring data of a user and use data of an industrial platform in real time; and configuring an advertisement triggering action, wherein the advertisement triggering action is used as the moving data of a mouse or the search page of a search word and does not change in preset time.
In one implementation of the present application, according to the industrial platform usage scenario and advertisement list, dynamic advertisement display is performed for the user, specifically including: analyzing and obtaining the pop-up position of the advertisement according to the use scene of the industrial platform; in the pop-up position, selecting advertisements in the advertisement list and popping up an advertisement display window, wherein the size and the position of the advertisement display window are adaptively adjusted according to the movement data of the mouse; when a user accesses the content of the pop-up advertisement, the advertisement push is reduced.
In one implementation of the present application, after the dynamic advertisement presentation to the user, the method further comprises: collecting feedback data of advertisements, and presetting a first threshold and a second threshold for the feedback data, wherein the feedback data comprises the click times of users on the advertisements, transaction data of the advertisements and browsing time after clicking the advertisements, the first threshold comprises the first click times, the first transaction data and the first browsing time, and the second threshold comprises the second click times, the second transaction data and the second browsing time; increasing the frequency of display of the advertisement in the advertisement list if the first transaction data or the first browsing time is reached; in the event that the second transaction data or second browsing time is reached, the frequency of display of the advertisement is reduced in the advertisement list.
In one implementation of the present application, the method further comprises: changing the content of the advertisement when the first click times are reached and the second transaction data or the second browsing time are reached; and changing the advertisement display window when the second click frequency is reached.
In one implementation of the present application, the method further comprises: dividing and packaging the category, the position and the transaction of the data of the enterprise user and the use data of the industrial platform to obtain scene identification information; the scene identification information is stored to the common resource area.
In one implementation of the present application, the method further comprises: adding a return option on the advertisement display window, and monitoring flow information of a user side; under the condition that flow mismatch or return information error occurs in the loading process, the abnormal use is popped up.
In a second aspect, an embodiment of the present application further provides an industrial platform advertisement presentation device based on user behavior, where the device includes at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
In a third aspect, embodiments of the present application further provide an industrial platform advertisement presentation non-volatile computer storage medium based on user behavior, storing computer-executable instructions configured to: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
According to the industrial platform advertisement display method, device and medium based on the user behavior, corresponding advertisements can be displayed at proper time and position according to the basic information of the user and the use condition of the industrial platform, and therefore the effectiveness and user experience of the advertisements are improved. Meanwhile, the system can continuously optimize the advertisement strategy according to the active feedback and data collection of the user, and the advertisement effect is improved. For platform users, through displaying advertisements related to platform contents and personally recommending advertisements corresponding to user demands, the participation degree, the advertisement conversion rate and the advertisement click rate of the users are improved, and meanwhile, the platform benefits are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flowchart of an advertisement display method of an industrial platform based on user behavior according to an embodiment of the present application;
Fig. 2 is a schematic diagram of an internal structure of an industrial platform advertisement display device based on user behavior according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application provides an industrial platform advertisement display method, equipment and medium based on user behaviors, which solve the problem that the prior art has few industrial service platform profit points, and the conventional advertisement pop-up mode usually does not consider the behaviors and scenes of users, so that the advertisement effect is not ideal.
The following describes the technical scheme provided by the embodiment of the application in detail through the attached drawings.
Fig. 1 is a flowchart of an industrial platform advertisement display method based on user behavior according to an embodiment of the present application. As shown in fig. 1, the method for displaying the advertisement on the industrial platform based on the user behavior provided by the embodiment of the application specifically comprises the following steps:
step 10: and acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse.
In this step, the enterprise user may be a worker in the enterprise, and the general user may be an individual user searching for a supply chain, or a graduate searching for work, etc.
As an alternative embodiment, the method for acquiring the data of the user and the use data of the industrial platform in real time may specifically include:
Step 101: the method comprises the steps of obtaining user data through a crawler technology, wherein the enterprise user data comprise basic data and production data, the basic data comprise enterprise category data, position data and worker working time, the production data comprise enterprise transaction data and equipment failure rate, and the common user data comprise identity information and learning information.
In particular, the collection of production data may be performed by sensors attached to the industrial equipment that completes the transaction via the platform, and the base data may originate from government platforms, authoritative media, or be obtained directly from information within the platform using crawler technology.
Step 102: and acquiring the use data of the industrial platform through the tracker, wherein the use data also comprises the residence time and the query times of the search page of the search term.
In this step, the usage data of the industrial platform may be understood as operation data of a user, and in implementation, the usage data of the industrial platform may further include mouse movement of the user, clicking of a function module in the industrial platform, input keywords or search terms, etc., and the usage time period and the usage frequency of the function module of the industrial platform may be collected through a tracker or a recorder built in the platform.
As another alternative embodiment, before acquiring the basic data of the user and the usage data of the industrial platform in real time, the method may further include:
Step 01: when registering an account number, a user pushes a user notification, which includes a data acquisition protocol.
In specific implementation, the industrial platform can acquire basic information, such as business license, identity card and other certificates, by using certificates and the like uploaded by a user when the user registers an account.
Step 02: and under the condition of agreeing to a data acquisition protocol, acquiring the data of the user and the use data of the industrial platform in real time.
In the step, if the data acquisition protocol is not agreed, the data of the user and the use data of the industrial platform are not acquired, and the advertisement in the platform is randomly displayed.
Step 03: and configuring an advertisement triggering action, wherein the advertisement triggering action is used as the moving data of a mouse or the search page of a search word and does not change in preset time.
In this step, the advertisement pop-up schedule may be specified by the industrial platform, and in specific implementation, the advertisement is triggered to the user, which is different from the active triggering pop-up of the advertisement pop-up window by the user, for example, the trigger is set to be a hidden passive pop-up, for example, the user stops moving the mouse for a period of time or the page browsed by the user stays for more than a certain time, so that the advertisement pop-up is triggered, and the preset time may be set by the advertisement sponsor or the operator of the industrial platform in a user-defined manner.
Step 20: and analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform.
In this step, the operation habit, the demand and the use mode of the platform of the user can be identified by techniques such as machine learning and data mining. In the specific implementation, the use scene of the user is identified through the category data, the position data and the working time of the worker, for example, the position data can refer to the working place of an enterprise and the place of an operator at the moment, and the operator can conveniently select advertisement recommendation service by utilizing various searches performed by the platform.
As yet another alternative embodiment, the method may further comprise:
Step 201: and dividing and packaging the category, the position and the transaction of the enterprise user data and the use data of the industrial platform to obtain scene identification information.
In this step, the industrial platform may divide the usage data into multiple dimensions such as category, value, location information, transaction information, etc., make statistics on the basic information such as failure rate, working time, etc. of the enterprise user's data, and evaluate and summarize the basic information and platform information using artificial intelligent algorithm or evaluation tool, for example, if the user's platform uses a word segmentation device (that segments the document into words) for ELASTIC SEARCH (an open-source highly-expanded distributed full-text search engine) in the search process, and if the number of queries in a certain time period is large, then word frequency marking in the word library is performed for the user.
Step 202: the scene identification information is stored to the common resource area.
In this step, the scene identification information can be stored in the public resource area, such a function does not consume excessive resources in consideration of the actual industrial platform scale, and at the same time stores the search content without word segmentation, thereby enriching the word stock of the word segmentation device for further behavioral analysis. The results are stored to a common resource area for data collection and subsequent data use by data computation.
Step 30: and selecting an advertisement list according to the requirements of the user.
In this step, the result obtained in step 20 may be analyzed by using a recommendation algorithm, and finally, the corresponding advertisement information may be selected for display.
Step 40: and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
In the step, the components for displaying the advertisement on the front-end page and the actual display content can be confused, so that the advertisement cannot be hidden, the influence of the current use information of the user acquired by the platform on the advertisement display position and background color is utilized to control the attribute of the advertisement display function, and the advertisement is displayed to the user at proper time and position.
Preferably, according to the use scene and the advertisement list of the industrial platform, the dynamic advertisement display is carried out on the user, and the method specifically comprises the following steps:
Step 401: and analyzing and obtaining the pop-up position of the advertisement according to the use scene of the industrial platform.
In this step, a reasonable display position can be calculated first, avoiding affecting the operation of the user.
Step 402: and in the pop-up position, selecting advertisements in the advertisement list and popping up an advertisement display window, wherein the size and the position of the advertisement display window are adaptively adjusted according to the movement data of the mouse.
In the step, a dynamic display mode can be adopted to attract the attention of a user; for example, according to the operation habit of the user, advertisement display can be performed in a proper time after the user operates, so that the combination of the advertisement and the workflow of the user is achieved, and the viewpoint position for displaying the advertisement is controlled, so that the user can still see the advertisement content when using the platform service in a normal working area.
Step 403: when a user accesses the content of the pop-up advertisement, the advertisement push is reduced.
In this step, the content of the advertisement may be related to the current operation or use scenario of the user, and the advertisement is pushed according to the advertisement list, so as to improve the attention and participation of the user. In order to avoid secondary influence of advertisements on service contents in advertisement contents, a marked time period can be set, and when a user accesses the advertisement contents to conduct transaction or content inquiry, an intelligent algorithm is adopted in the time period to reduce corresponding advertisement pushing.
Further, the method may further include:
Step 404: adding a return option on the advertisement display window, and monitoring flow information of a user side;
Step 405: under the condition that flow mismatch or return information error occurs in the loading process, the abnormal use is popped up.
In implementation, after the dynamic advertisement presentation is performed on the user, the method may further include:
Step 501: collecting feedback data of advertisements, and presetting a first threshold and a second threshold for the feedback data, wherein the feedback data comprises the click times of users on the advertisements, transaction data of the advertisements and browsing time after clicking the advertisements, the first threshold comprises the first click times, the first transaction data and the first browsing time, and the second threshold comprises the second click times, the second transaction data and the second browsing time.
In the step, the feedback and the service condition of the advertisement content of the user can be collected, the feedback can be obtained through modes of demand release and the like in the platform, and the advertisement strategy is optimized and the advertisement effect is improved through collecting the active feedback of the user and the transaction data of the platform. The collection index mainly comprises the click times of the user on the advertisement, transaction data of the advertisement and browsing time after the advertisement is clicked, and the first threshold and the second threshold can be set by the advertisement sponsor in a self-defined mode.
Step 502: in the event that the first transaction data or the first browsing time is reached, the frequency of display of the advertisement is increased in the advertisement list.
For example, if the transaction data of an advertisement is higher within a certain period of time or the browsing time of the user is longer, the weight of the advertisement can be increased, and the display frequency of the advertisement can be increased in the advertisement list.
Step 503: in the event that the second transaction data or second browsing time is reached, the frequency of display of the advertisement is reduced in the advertisement list.
For example, if the transaction data of an advertisement is low within a certain period of time or the user browses less, the weight of the advertisement may be reduced, and the display frequency of the advertisement may be reduced in the advertisement list.
Further, the method may further include:
step 504: the content of the advertisement is changed if the first number of clicks is reached and the second transaction data or the second browsing time is reached.
For example, if an advertisement is clicked more times within a certain period of time, but the transaction amount or browsing amount data of the advertisement is poor, the advertisement content can be considered to have problems in some places, and the advertisement content should be changed in time.
Step 505: and changing the advertisement display window when the second click frequency is reached.
For example, an advertisement may be clicked very few times within a certain period of time, and it may be considered that a problem occurs in the display window of the advertisement, and the display window of the advertisement should be changed in time. In this way, the advertisement strategy is continuously optimized according to the active feedback and data collection of the user so as to realize accurate and continuous advertisement delivery.
In summary, according to the industrial platform advertisement display method, device and medium based on user behavior provided by the embodiment of the application, when a user uses the industrial platform, operation data and platform use data of the user are collected in real time, then the collected data are processed and analyzed, operation habits and demands of the user and the use mode of the platform are identified, the use scene of the user is identified according to parameters such as time, place and task, and corresponding advertisements are selected for display according to analysis results of the user behavior and scene identification results, and in the display process, the user can adjust advertisement strategies through feedback or use conditions.
The above is a method embodiment of the present application. Based on the same inventive concept, the embodiment of the application also provides an industrial platform advertisement display device based on user behaviors, and the structure of the industrial platform advertisement display device is shown in fig. 2.
Fig. 2 is a schematic diagram of an internal structure of an industrial platform advertisement display device based on user behavior according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
at least one processor 201;
and a memory 202 communicatively coupled to the at least one processor;
Wherein the memory 202 stores instructions executable by the at least one processor, the instructions being executable by the at least one processor 201 to enable the at least one processor 201 to:
Acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
Some embodiments of the application provide a non-volatile computer storage medium corresponding to the user behavior based industrial platform advertisement presentation of fig. 1, storing computer executable instructions configured to: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse; analyzing the data of the user and the use data of the industrial platform to obtain the user demand and the use scene of the industrial platform; selecting an advertisement list according to the requirements of a user; and dynamically displaying advertisements to the user according to the use scene and the advertisement list of the industrial platform.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the internet of things device and the medium embodiment, since they are substantially similar to the method embodiment, the description is relatively simple, and the relevant points are referred to in the description of the method embodiment.
The system, the medium and the method provided by the embodiment of the application are in one-to-one correspondence, so that the system and the medium also have similar beneficial technical effects to the corresponding method, and the beneficial technical effects of the method are explained in detail above, so that the beneficial technical effects of the system and the medium are not repeated here.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. An industrial platform advertisement display method based on user behaviors, which is characterized by comprising the following steps:
Acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse;
analyzing the data of the user and the use data of the industrial platform to obtain user requirements and an industrial platform use scene;
Selecting an advertisement list according to the user demand;
And dynamically displaying advertisements to the user according to the use scene of the industrial platform and the advertisement list.
2. The method for displaying advertisements on an industrial platform based on user behaviors according to claim 1, wherein the method for displaying advertisements on an industrial platform based on user behaviors is characterized by acquiring user data and use data of the industrial platform in real time, and specifically comprises the following steps:
Obtaining user data through a crawler technology, wherein the enterprise user data comprise basic data and production data, the basic data comprise enterprise category data, position data and working time of workers, the production data comprise enterprise transaction data and equipment failure rate, and the common user data comprise identity information and academic information;
And acquiring the use data of the industrial platform through the tracker, wherein the use data further comprises the residence time and the query times of the search page of the search term.
3. The method for displaying advertisements on an industrial platform based on user behavior according to claim 2, wherein before acquiring the basic data of the user and the usage data of the industrial platform in real time, the method further comprises:
pushing user awareness when registering an account number by the industrial platform, wherein the user awareness comprises a data acquisition protocol;
Under the condition of agreeing to the data acquisition protocol, acquiring data of a user and use data of an industrial platform in real time;
and configuring an advertisement triggering action, wherein the advertisement triggering action is used as moving data of a mouse or searching pages of search words and does not change in preset time.
4. The method for displaying advertisements on an industrial platform based on user behaviors according to claim 3, wherein the method for displaying advertisements on the industrial platform dynamically according to the use scene of the industrial platform and the advertisement list specifically comprises the following steps:
analyzing and obtaining the pop-up position of the advertisement according to the use scene of the industrial platform;
selecting advertisements in the advertisement list and popping up an advertisement display window at the popping-up position, wherein the size and the position of the advertisement display window are adaptively adjusted according to the moving data of a mouse;
when a user accesses the content of the pop-up advertisement, the advertisement push is reduced.
5. The method for displaying advertisements on an industrial platform based on user behavior according to claim 1, wherein after displaying advertisements on a user dynamically, the method further comprises:
Collecting feedback data of advertisements, and presetting a first threshold and a second threshold for the feedback data, wherein the feedback data comprises the click times of users on the advertisements, transaction data of the advertisements and browsing time after clicking the advertisements, the first threshold comprises the first click times, the first transaction data and the first browsing time, and the second threshold comprises the second click times, the second transaction data and the second browsing time;
Increasing the frequency of display of the advertisement in the advertisement list if the first transaction data or the first browsing time is reached;
In the event that the second transaction data or second browsing time is reached, the frequency of display of the advertisement is reduced in the advertisement list.
6. The method for displaying advertisements on an industrial platform based on user behavior according to claim 5, further comprising:
changing the content of the advertisement when the first click times are reached and the second transaction data or the second browsing time are reached;
and changing the advertisement display window under the condition that the second click times are reached.
7. The method for displaying advertisements on an industrial platform based on user behavior according to claim 2, further comprising:
Dividing and packaging the category, the position and the transaction of the enterprise user data and the industrial platform use data to obtain scene identification information;
and storing the scene identification information into a public resource area.
8. The method for displaying advertisements on an industrial platform based on user behavior according to claim 4, further comprising:
adding a return option on the advertisement display window, and monitoring flow information of a user side;
Under the condition that flow mismatch or return information error occurs in the loading process, the abnormal use is popped up.
9. An industrial platform advertising display device based on user behavior, the device comprising:
At least one processor;
and a memory communicatively coupled to the at least one processor;
Wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse;
analyzing the data of the user and the use data of the industrial platform to obtain user requirements and an industrial platform use scene;
Selecting an advertisement list according to the user demand;
And dynamically displaying advertisements to the user according to the use scene of the industrial platform and the advertisement list.
10. A non-volatile computer storage medium storing computer-executable instructions for industrial platform advertising based on user behavior, the computer-executable instructions configured to: acquiring data of a user and use data of an industrial platform in real time, wherein the user comprises an enterprise user and a common user, the industrial platform is an online platform for connecting the user and a service provider, and the use data of the industrial platform comprises movement data of a mouse;
analyzing the data of the user and the use data of the industrial platform to obtain user requirements and an industrial platform use scene;
Selecting an advertisement list according to the user demand;
And dynamically displaying advertisements to the user according to the use scene of the industrial platform and the advertisement list.
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