CN116095137B - Intelligent data acquisition and pushing method and system based on supply chain management - Google Patents
Intelligent data acquisition and pushing method and system based on supply chain management Download PDFInfo
- Publication number
- CN116095137B CN116095137B CN202211650319.XA CN202211650319A CN116095137B CN 116095137 B CN116095137 B CN 116095137B CN 202211650319 A CN202211650319 A CN 202211650319A CN 116095137 B CN116095137 B CN 116095137B
- Authority
- CN
- China
- Prior art keywords
- user
- page
- access
- point data
- event
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
- G06F16/972—Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application relates to a data intelligent acquisition pushing method and system based on supply chain management, comprising the following steps: acquiring a browser fingerprint, wherein the browser fingerprint is a unique identifier of a browser used by a user; acquiring a page access sequence of a user according to the browser fingerprint; determining each access page accessed by a user according to the page access sequence; acquiring page buried point data corresponding to each access page, wherein the page buried point data comprises page access quantity, access number, access event, stay time and page path; acquiring event buried point data corresponding to each access page, wherein the event buried point data comprises flow distribution of each plate in the access page; and storing the embedded point data of each page and the embedded point data of each event into a big data platform. The method solves the technical problem that codes need to be deployed once again every time when the existing user behavior tracking uses the embedded point technology.
Description
Technical Field
The application relates to the technical field of supply chains, in particular to a data intelligent acquisition pushing method and system based on supply chain management.
Background
For a supply chain digital acquisition platform, along with the exponential growth of the data volume of the platform, the required user behavior data is required to be quickly, real-time, full-volume, accurately and automatically obtained and further data behavior analysis is required to be carried out, the existing buried point technical scheme cannot be adopted, the invasiveness to codes is too strong due to the existing buried point technical mode, the codes are required to be redeployed once each time when new buried points are required, deployment is time-consuming and labor-consuming, and particularly for a platform structure with a large scale, the cost of buried point deployment is high.
Disclosure of Invention
The application provides a data intelligent acquisition pushing method and system based on supply chain management, aiming at solving the technical problem that codes need to be deployed once again every time when the existing user behavior tracking uses a buried point technology.
In order to solve the technical problems, the application provides an intelligent data acquisition and pushing method based on supply chain management, which comprises the following steps:
acquiring a browser fingerprint, wherein the browser fingerprint is a unique identifier of a browser used by a user;
acquiring a page access sequence of a user according to the browser fingerprint;
determining each access page accessed by a user according to the page access sequence;
acquiring page buried point data corresponding to each access page, wherein the page buried point data comprises page access quantity, access number, access event, stay time and page path;
acquiring event buried point data corresponding to each access page, wherein the event buried point data comprises flow distribution of each plate in the access page;
and storing the embedded point data of each page and the embedded point data of each event into a big data platform.
The intelligent data acquisition and pushing method based on supply chain management has the beneficial effects that: according to the browser fingerprint, the page access sequence of the user is tracked, so that access pages browsed by the user are obtained, and the embedded point data and the event embedded point data of each access page are extracted and can be used for a subsequent supply chain.
On the basis of the technical scheme, the intelligent data acquisition and pushing method based on supply chain management can be improved as follows.
Further, the acquiring the page access sequence of the user according to the browser fingerprint includes:
determining a browser used by a user according to the browser fingerprint;
when the browser is switched to a new access address, acquiring a new access record corresponding to the new access address;
and determining the page access sequence of the user according to each access record, wherein each access record comprises a newly added access record.
The beneficial effects of adopting the further scheme are as follows: after tracking the browser of the user according to the browser fingerprint, when the browser switches a new access address, the newly added access records corresponding to the new access address can be obtained, and the page access sequence of the user can be obtained through each access record.
Further, the method comprises the following steps:
acquiring an interesting event corresponding to a user, wherein the interesting event is webpage content interesting to the user;
determining all access pages accessed by the user according to the page access sequence, wherein the method comprises the following steps:
and determining all access pages accessed by the user according to the page access sequence and the interesting events.
The beneficial effects of adopting the further scheme are as follows: when the user browses the access pages, part of the access pages are the mistaken touch or uninteresting pages, so that the access pages uninteresting to the user can be filtered according to the interesting events.
Further, the acquiring the user interesting event includes:
and determining the interesting event corresponding to the user according to the custom attribute or the public attribute, wherein the custom attribute is a designated interesting event, and the public attribute is an interesting event common to industries.
The beneficial effects of adopting the further scheme are as follows: the interesting events can be customized according to the attribute and also can be used more conveniently according to the public attribute.
Further, storing the embedded point data of each page and the embedded point data of each event in the big data platform includes:
if the user id is obtained, judging that the user is a registered user, and storing the embedded point data of each page and the embedded point data of each event into a big data platform;
if the user id is not obtained, judging that the user is an unregistered user, giving an anonymous id to the user, and storing the embedded point data of each page and the embedded point data of each event into a big data platform.
The beneficial effects of adopting the further scheme are as follows: some users are unregistered users, and therefore, it is necessary to distinguish registered users from unregistered users when storing data.
Further, if the user id is not obtained, determining that the user is an unregistered user, assigning an anonymous id to the user, and storing each piece of page embedded point data and each piece of event embedded point data into the big data platform, and further including:
after an anonymous id is given to the user, when a new user id registered by the user is acquired and the new user id is logged in, data in a storage position corresponding to the anonymous id is stored in a storage position corresponding to the new user id in a large data platform.
The beneficial effects of adopting the further scheme are as follows: when the user is unregistered, the anonymous id is the temporary id of the unregistered user, and when the unregistered user registers the new user id, the data temporarily stored in the anonymous id can be stored in the storage position corresponding to the new user id.
Further, the method comprises the following steps:
and carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event.
The beneficial effects of adopting the further scheme are as follows: and pushing the proper pushing service for the user according to the content (each page embedded point data and each event embedded point data) of the user browsing access page.
Further, according to the embedded point data of each page and the embedded point data of each event, performing project pushing service for the user, including:
when the user is a registered user, carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event;
when the user is an unregistered user, determining a similarity value of the unregistered user and each registered user, determining each target user according to the similarity value, and pushing push content of each target user to the unregistered user, wherein the similarity value characterizes the similarity of the unregistered user and web page content accessed by the registered user.
The beneficial effects of adopting the further scheme are as follows: when the user is an unregistered user, the target user can be determined according to the similarity value between the unregistered user and the registered user, and then the recommended content of the target user is recommended to the unregistered user, so that the unregistered user can also experience the push service.
In a second aspect, the present application provides a supply chain management-based data intelligent acquisition and push system, including:
the browser fingerprint acquisition module is used for acquiring a browser fingerprint which is the unique identifier of the browser used by the user;
the access sequence acquisition module is used for acquiring the page access sequence of the user according to the browser fingerprint;
the access page acquisition module is used for determining each access page accessed by the user according to the page access sequence;
the page embedded point data acquisition module is used for acquiring page embedded point data corresponding to each access page;
the event buried point data acquisition module is used for acquiring event buried point data corresponding to each access page, wherein the event buried point data comprises flow distribution of each plate in the access page;
and the storage module is used for storing the embedded point data of each page and the embedded point data of each event into the big data platform.
In a third aspect, the present application further provides an electronic device, including a memory, a processor, and a program stored in the memory and running on the processor, where the processor implements the steps of the data intelligent collection pushing method based on supply chain management as described above when executing the program.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the present application is further described below with reference to the drawings and the embodiments.
Fig. 1 is a schematic flow chart of a data intelligent collection pushing method based on supply chain management according to an embodiment of the application;
fig. 2 is a schematic structural diagram of a data intelligent collection and push system based on supply chain management according to an embodiment of the present application.
Detailed Description
The following examples are further illustrative and supplementary of the present application and are not intended to limit the application in any way.
The following describes a data intelligent acquisition pushing system based on supply chain management according to an embodiment of the present application with reference to the accompanying drawings.
As shown in fig. 1, the method for intelligently collecting and pushing data based on supply chain management according to the embodiment of the application is applied to terminal equipment.
The application provides a data intelligent acquisition pushing method based on supply chain management, which comprises the following steps:
s1, acquiring a browser fingerprint, wherein the browser fingerprint is a unique identifier of a browser used by a user;
s2, acquiring a page access sequence of a user according to the browser fingerprint;
s3, determining each access page accessed by the user according to the page access sequence;
s4, acquiring page buried point data corresponding to each access page, wherein the page buried point data comprises page access quantity, access number, access event, stay time and page path;
s5, acquiring event buried point data corresponding to each access page, wherein the event buried point data comprises flow distribution of each plate in the access page;
and S6, storing the embedded point data of each page and the embedded point data of each event into a big data platform.
Optionally, the browser fingerprint is a method for tracking the web browser through configuration and setting information (such as system font, screen resolution, browser plug-in, etc.) that the browser makes visible to the website, and may be used to implement uniqueness of the user identifier, and the browser fingerprint technology is the prior art, so that details are not repeated.
Optionally, when tracking the page access sequence of the user, because the embodiment adopts a browser of a single page system, when the user switches to a new access address, the browser is not provided with a collection switch before load (before load can only be configured in a double page system), so that each access page cannot be recorded, based on this, when the browser switches to the new access address, an access record is added by calling the PushState method, and finally, the access sequence of the user can be obtained through the access record.
Optionally, each plate refers to accessing page content for a specific function, module, and area on the page.
Optionally, the acquiring the page access sequence of the user according to the browser fingerprint includes:
determining a browser used by a user according to the browser fingerprint;
when the browser is switched to a new access address, acquiring a new access record corresponding to the new access address;
and determining the page access sequence of the user according to each access record, wherein each access record comprises a newly added access record.
Optionally, the method further comprises:
acquiring an interesting event corresponding to a user, wherein the interesting event is webpage content interesting to the user;
determining all access pages accessed by the user according to the page access sequence, wherein the method comprises the following steps:
and determining all access pages accessed by the user according to the page access sequence and the interesting events.
Optionally, the acquiring the event of interest of the user includes:
and determining the interesting event corresponding to the user according to the custom attribute or the public attribute, wherein the custom attribute is a designated interesting event, and the public attribute is an interesting event common to industries.
In this embodiment, the custom attribute refers to customizing an interesting event by a user, for example, the user is interested in a chemical engineering class item, and the custom attribute is web page content related to chemical engineering.
In this embodiment, the public attribute refers to an interesting event commonly used in industry, for example, a user is interested in a chemical engineering project, and the public attribute is relatively popular web content related to chemical engineering, for example, chemical engineering materials and the like.
Optionally, the page burial point data mainly records the user access condition of a page, such as the page access amount, the number of users, the access event, the stay time, the page path and the like, and judges the overall flow condition of the access page and the positioning of the user to the access page through the page burial point data.
Optionally, the event embedded data mainly aims at the access condition of each plate, and the preferences of the user on the functions and the contents of the products corresponding to each plate on the access page are judged by counting the flow distribution on the access page.
Optionally, storing the data of each page buried point and the data of each event buried point in the big data platform includes:
if the user id is obtained, judging that the user is a registered user, and storing the embedded point data of each page and the embedded point data of each event into a big data platform;
if the user id is not obtained, judging that the user is an unregistered user, giving an anonymous id to the user, and storing the embedded point data of each page and the embedded point data of each event into a big data platform.
In this embodiment, since some users are unregistered users, when data is stored, a corresponding storage location cannot be found in the large data platform, and at this time, relevant data of the unregistered users may be stored by adding a temporary id and a temporary storage location to the unregistered users.
Optionally, if the user id is not obtained, determining that the user is an unregistered user, assigning an anonymous id to the user, storing each piece of page embedded point data and each piece of event embedded point data into the big data platform, and further including:
after an anonymous id is given to the user, when a new user id registered by the user is acquired and the new user id is logged in, data in a storage position corresponding to the anonymous id is stored in a storage position corresponding to the new user id in a large data platform.
Optionally, a mapping table of anonymous ids and user ids is constructed, if the user ids are not acquired, an anonymous id is given to the user, and when a new user is registered by the anonymous id, the user id corresponding to the anonymous id in the mapping table is used as the new user id of the user.
Optionally, the method further comprises:
and carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event.
Optionally, the embedded point data of each page and the embedded point data of each event can be input into a recommendation model, and the recommendation model is used for carrying out project pushing service for the user, and the recommendation model is not used as the key point of the application, so that the description is omitted.
Optionally, since some users are unregistered users, the unregistered users generally have only a small number of access page browsing behaviors, so that the access page browsing behaviors based on the small number cannot be used as an accurate recommendation service, based on the accurate recommendation service, the approximate registered users need to be matched according to the unregistered users, and then push content of the registered users to the unregistered users, so that the use experience of the unregistered users is improved.
Optionally, according to the embedded point data of each page and the embedded point data of each event, performing a project pushing service for the user, including:
when the user is a registered user, carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event;
when the user is an unregistered user, determining a similarity value of the unregistered user and each registered user, determining each target user according to the similarity value, and pushing push content of each target user to the unregistered user, wherein the similarity value characterizes the similarity of the unregistered user and web page content accessed by the registered user.
Optionally, the similarity value mainly depends on the input search words and the browsed items when the registered user and the unregistered user browse the access page, so that the same item number, different item number, same search word number and different search word number browsed between the unregistered user and each registered user are obtained;
according to the number of the same items, the number of different items, the number of the same search words and the number of different search words browsed between the unregistered user and each registered user, determining a similarity value between the unregistered user and each registered user through a first formula, wherein the first formula is as follows:
wherein Sim (S, R) represents a similarity value between the S-th unregistered user and the R-th registered user, a SR Represents the number of the same items browsed between the s-th unregistered user and the R-th registered user, A SR Representing the number of different items browsed between the s-th unregistered user and the R-th registered user, b SR Representing the number of the same search words browsed between the s-th unregistered user and the R-th registered user, B SR Representing the number of different search terms browsed between the s-th unregistered user and the R-th registered user.
Optionally, the browsed item is an event of interest to the user, such as a chemical type access page.
As shown in fig. 2, the intelligent data collection and pushing system based on supply chain management according to the embodiment of the application includes:
the browser fingerprint acquisition module 201 is configured to acquire a browser fingerprint, where the browser fingerprint is a unique identifier of a browser used by a user;
an access sequence acquisition module 202, configured to acquire a page access sequence of a user according to a browser fingerprint;
an access page acquisition module 203, configured to determine each access page accessed by the user according to the page access sequence;
the page embedded point data acquisition module 204 is configured to acquire page embedded point data corresponding to each access page;
the event buried point data obtaining module 205 is configured to obtain event buried point data corresponding to each access page, where the event buried point data includes flow distribution of each plate in the access page;
the storage module 206 is configured to store each page embedded point data and each event embedded point data into the big data platform.
Optionally, the access sequence acquisition module 202 includes:
the browser determining module is used for determining a browser used by a user according to the browser fingerprint;
the access record acquisition module is used for acquiring a newly added access record corresponding to the new access address when the browser is switched to the new access address;
and the first determining module is used for determining the page access sequence of the user according to each access record, wherein each access record comprises a newly added access record.
Optionally, the system further comprises:
the interesting event acquisition module is used for acquiring interesting events corresponding to the user, wherein the interesting events are webpage contents interesting to the user;
the access page acquisition module 203 is further configured to:
and determining all access pages accessed by the user according to the page access sequence and the interesting events.
Optionally, the interesting event acquisition module is further configured to:
and determining the interesting event corresponding to the user according to the custom attribute or the public attribute, wherein the custom attribute is a designated interesting event, and the public attribute is an interesting event common to industries.
Optionally, the storage module 206 further includes:
the registered user module is used for judging the user as a registered user if the user id is acquired, and storing the embedded point data of each page and the embedded point data of each event into the big data platform;
and the unregistered user module is used for judging that the user is an unregistered user if the user id is not acquired, assigning an anonymous id to the user, and storing the embedded point data of each page and the embedded point data of each event into the big data platform.
Optionally, the unregistered user module further includes:
and the anonymous id module is used for storing the data in the storage position corresponding to the anonymous id into the storage position corresponding to the new user id in the big data platform when the new user id registered by the user is acquired and the new user id is logged in after the anonymous id module is endowed for the user.
Optionally, the system further comprises:
and the pushing module is used for carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event.
Optionally, the pushing module further includes:
the first pushing module is used for carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event when the user is a registered user;
and the second pushing module is used for determining the similarity value of the unregistered user and each registered user when the user is the unregistered user, determining each target user according to the similarity value, and pushing the pushing content of each target user to the unregistered user, wherein the similarity value characterizes the similarity between the unregistered user and the webpage content accessed by the registered user.
The electronic equipment comprises a memory, a processor and a program stored in the memory and running on the processor, wherein the processor realizes part or all of the steps of the intelligent data acquisition pushing method based on supply chain management when executing the program.
The electronic device may be a computer, and correspondingly, the program is computer software, and the parameters and steps in the embodiment of the data intelligent collection pushing method based on supply chain management can be referred to above, which are not described herein.
Those skilled in the art will appreciate that the present application may be implemented as a system, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: either entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or entirely software, or a combination of hardware and software, referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable media, which contain computer-readable program code. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (8)
1. The intelligent data acquisition and pushing method based on supply chain management is characterized by comprising the following steps of:
obtaining a browser fingerprint, wherein the browser fingerprint is a unique identifier of a browser used by a user;
acquiring the page access sequence of the user according to the browser fingerprint;
determining each access page accessed by the user according to the page access sequence;
acquiring page buried point data corresponding to each access page, wherein the page buried point data comprises page access quantity, access number, access event, stay time and page path;
acquiring event embedded point data corresponding to each access page, wherein the event embedded point data comprises flow distribution of each plate in the access page;
storing each page embedded point data and each event embedded point data into a big data platform;
carrying out project pushing service for the user according to the page embedded point data and the event embedded point data;
according to the browser fingerprint, acquiring the page access sequence of the user, including:
determining a browser used by the user according to the browser fingerprint;
when the browser is switched to a new access address, acquiring a newly added access record corresponding to the new access address, and adding an access record by calling a PushState method;
and determining the page access sequence of the user according to each access record, wherein each access record comprises the newly added access record.
2. The method as recited in claim 1, further comprising:
acquiring an interesting event corresponding to the user, wherein the interesting event is webpage content interesting to the user;
according to the page access sequence, determining each access page accessed by the user comprises the following steps:
and determining each access page accessed by the user according to the page access sequence and the interesting event.
3. The method of claim 2, wherein acquiring the event of interest to the user comprises:
and determining the interesting event corresponding to the user according to the custom attribute or the public attribute, wherein the custom attribute is a designated interesting event, and the public attribute is an interesting event common to industries.
4. The method of claim 1, wherein storing each of the page buried point data and each of the event buried point data into a big data platform comprises:
if the user id is obtained, judging that the user is a registered user, and storing each piece of page embedded point data and each piece of event embedded point data into the big data platform;
if the user id is not acquired, judging that the user is an unregistered user, assigning an anonymous id to the user, and storing the page embedded point data and the event embedded point data into the big data platform.
5. The method of claim 1, wherein if no user id is obtained, determining that the user is an unregistered user, and assigning an anonymous id to the user, storing each of the page embedded point data and each of the event embedded point data into the big data platform, further comprising:
after an anonymous id is given to the user, when a new user id registered by the user is acquired and the new user id is logged in, data in a storage position corresponding to the anonymous id is stored in a storage position corresponding to the new user id in the big data platform.
6. The method of claim 1, wherein said performing an item push service for said user based on each of said page embedded point data and each of said event embedded point data comprises:
when the user is a registered user, carrying out project pushing service for the user according to each page embedded point data and each event embedded point data;
when the user is an unregistered user, determining a similarity value of the unregistered user and each registered user, determining each target user according to the similarity value, and pushing push content of each target user to the unregistered user, wherein the similarity value characterizes the similarity of the unregistered user and webpage content accessed by the registered user.
7. Data intelligence collection push system based on supply chain management, its characterized in that includes:
the browser fingerprint acquisition module is used for acquiring a browser fingerprint, wherein the browser fingerprint is a unique identifier of a browser used by a user;
the access sequence acquisition module is used for acquiring the page access sequence of the user according to the browser fingerprint;
the access page acquisition module is used for determining each access page accessed by the user according to the page access sequence;
the page embedded point data acquisition module is used for acquiring page embedded point data corresponding to each access page;
the event buried point data acquisition module is used for acquiring event buried point data corresponding to each access page, wherein the event buried point data comprises flow distribution of each plate in the access page;
the storage module is used for storing the page embedded point data and the event embedded point data into a big data platform;
the pushing module is used for carrying out project pushing service for the user according to the embedded point data of each page and the embedded point data of each event;
the access sequence acquisition module comprises:
the browser determining module is used for determining a browser used by a user according to the browser fingerprint;
the access record acquisition module is used for acquiring a newly added access record corresponding to a new access address when the browser is switched to the new access address, and adding an access record by calling the PushState method;
and the first determining module is used for determining the page access sequence of the user according to each access record, wherein each access record comprises a newly added access record.
8. An electronic device comprising a memory, a processor and a program stored on the memory and running on the processor, wherein the processor implements the steps of the supply chain management based data intelligent acquisition push method of any one of claims 1 to 6 when the program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211650319.XA CN116095137B (en) | 2022-12-21 | 2022-12-21 | Intelligent data acquisition and pushing method and system based on supply chain management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211650319.XA CN116095137B (en) | 2022-12-21 | 2022-12-21 | Intelligent data acquisition and pushing method and system based on supply chain management |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116095137A CN116095137A (en) | 2023-05-09 |
| CN116095137B true CN116095137B (en) | 2023-08-18 |
Family
ID=86205512
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211650319.XA Active CN116095137B (en) | 2022-12-21 | 2022-12-21 | Intelligent data acquisition and pushing method and system based on supply chain management |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116095137B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106156194A (en) * | 2015-04-21 | 2016-11-23 | 阿里巴巴集团控股有限公司 | A kind of method and device forming user operation path |
| CN106874337A (en) * | 2016-08-31 | 2017-06-20 | 阿里巴巴集团控股有限公司 | The statistical query method and device of flow guiding relation |
| CN108121802A (en) * | 2017-12-22 | 2018-06-05 | 东软集团股份有限公司 | The thermodynamic analysis method, apparatus and its equipment of web page access |
| CN109104456A (en) * | 2018-06-07 | 2018-12-28 | 北京本邦科技股份有限公司 | A kind of user tracking based on browser fingerprint and propagating statistics analysis method |
| CN109688210A (en) * | 2018-12-14 | 2019-04-26 | 平安城市建设科技(深圳)有限公司 | Track method, apparatus, server and the storage medium of user information |
| CN111737630A (en) * | 2020-08-25 | 2020-10-02 | 智者四海（北京）技术有限公司 | Method for recording user access path |
| CN112511632A (en) * | 2020-12-03 | 2021-03-16 | 中国平安财产保险股份有限公司 | Object pushing method, device and equipment based on multi-source data and storage medium |
| CN113886204A (en) * | 2021-09-29 | 2022-01-04 | 平安普惠企业管理有限公司 | User behavior data collection method and device, electronic equipment and readable storage medium |
| CN114979109A (en) * | 2022-05-19 | 2022-08-30 | 中国平安财产保险股份有限公司 | Behavior track detection method and device, computer equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111597429A (en) * | 2019-02-21 | 2020-08-28 | 北京京东尚科信息技术有限公司 | Network resource pushing method and device and storage medium |
| CN113590974B (en) * | 2021-09-29 | 2022-01-28 | 北京每日优鲜电子商务有限公司 | Recommendation page configuration method and device, electronic equipment and computer readable medium |
-
2022
- 2022-12-21 CN CN202211650319.XA patent/CN116095137B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106156194A (en) * | 2015-04-21 | 2016-11-23 | 阿里巴巴集团控股有限公司 | A kind of method and device forming user operation path |
| CN106874337A (en) * | 2016-08-31 | 2017-06-20 | 阿里巴巴集团控股有限公司 | The statistical query method and device of flow guiding relation |
| CN108121802A (en) * | 2017-12-22 | 2018-06-05 | 东软集团股份有限公司 | The thermodynamic analysis method, apparatus and its equipment of web page access |
| CN109104456A (en) * | 2018-06-07 | 2018-12-28 | 北京本邦科技股份有限公司 | A kind of user tracking based on browser fingerprint and propagating statistics analysis method |
| CN109688210A (en) * | 2018-12-14 | 2019-04-26 | 平安城市建设科技(深圳)有限公司 | Track method, apparatus, server and the storage medium of user information |
| CN111737630A (en) * | 2020-08-25 | 2020-10-02 | 智者四海（北京）技术有限公司 | Method for recording user access path |
| CN112511632A (en) * | 2020-12-03 | 2021-03-16 | 中国平安财产保险股份有限公司 | Object pushing method, device and equipment based on multi-source data and storage medium |
| CN113886204A (en) * | 2021-09-29 | 2022-01-04 | 平安普惠企业管理有限公司 | User behavior data collection method and device, electronic equipment and readable storage medium |
| CN114979109A (en) * | 2022-05-19 | 2022-08-30 | 中国平安财产保险股份有限公司 | Behavior track detection method and device, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116095137A (en) | 2023-05-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109086394B (en) | Search ranking method and device, computer equipment and storage medium | |
| CN104809154B (en) | The method and device recommended for information | |
| CN108846091B (en) | Information recommendation method, device and equipment | |
| US20110282861A1 (en) | Extracting higher-order knowledge from structured data | |
| CN107911448B (en) | Content pushing method and device | |
| CN105933538A (en) | Video finding method for mobile terminal and mobile terminal | |
| CN104081380A (en) | Identifying and ranking solutions from multiple data sources | |
| CN106919611B (en) | Product information pushing method and device | |
| CN102687138A (en) | Search suggestion clustering and presentation | |
| KR101519879B1 (en) | Apparatus for recommanding contents using hierachical context model and method thereof | |
| WO2009032394A1 (en) | Presenting result items based upon user behavior | |
| CN103631794A (en) | Method, device and equipment for sorting search results | |
| CN106874449A (en) | The searching method and mobile terminal of a kind of application program | |
| CN106411965A (en) | Method for determining network server providing counterfeit service, equipment and calculating equipment thereof | |
| CN103605715A (en) | Method and device used for data integration processing of multiple data sources | |
| US20090259649A1 (en) | System and method for detecting templates of a website using hyperlink analysis | |
| CN112328872A (en) | Information display method, information search method and device | |
| CN112241489A (en) | Information pushing method and device, readable storage medium and computer equipment | |
| CN110929058B (en) | Trademark picture retrieval method and device, storage medium and electronic device | |
| CN105653674B (en) | File management method and system of intelligent terminal | |
| CN109240664B (en) | Method and terminal for collecting user behavior information | |
| CN110851708B (en) | Negative sample extraction method, device, computer equipment and storage medium | |
| CN105373570B (en) | Management method and terminal for browser history records | |
| CN107291951B (en) | Data processing method, device, storage medium and processor | |
| CN111259274A (en) | Information processing method, device, equipment and information display device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |