CN112925815A - Automatic push information generation system with tracking function - Google Patents
Automatic push information generation system with tracking function Download PDFInfo
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- CN112925815A CN112925815A CN202110204170.1A CN202110204170A CN112925815A CN 112925815 A CN112925815 A CN 112925815A CN 202110204170 A CN202110204170 A CN 202110204170A CN 112925815 A CN112925815 A CN 112925815A
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- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides an automatic push information generation system with a tracking function, which comprises a data acquisition module, a screening module, a data tracking module and a push information generation module, wherein the data acquisition module acquires data information of target software, the screening module screens the data information acquired by the data acquisition module according to a set screening rule, the screened data information is sent to the data tracking module, the data tracking module tracks the screened data information in real time, and respectively sends the data information to a management platform and a learning module, the management platform stores the data information in a server, the learning module calculates the information required by the user according to the set learning rule by the received data information and sends the information to the information pushing module, and the information pushing module selects the pushing information stored in the server according to the information required by the user currently or periodically and pushes the pushing information to the user through the display medium. It masters more accurate reality to user's demand, promotes user efficiency of doing business.
Description
Technical Field
The invention relates to the field of big data, in particular to an automatic push information generation system with a tracking function.
Background
With the advent of the cloud era, Big data (Big data) has attracted more and more attention. It is believed that Big data (Big data) is often used to describe the large amount of unstructured and semi-structured data created by a company that can take too much time and money to download to a relational database for analysis. Big data analysis is often tied to cloud computing because real-time large dataset analysis requires a MapReduce-like framework to distribute work to tens, hundreds, or even thousands of computers.
Large data requires special techniques to efficiently process large amounts of data that are tolerant of elapsed time. Technologies applicable to big data include Massively Parallel Processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the internet, and scalable storage systems.
Currently, most of information push is static data acquisition, that is, when a certain action in the using process of a user is acquired, information related to the action is pushed for the user, regardless of whether the user finishes the action or performs other associated actions with the action; the message pushing becomes mechanized, the user action cannot be dynamically tracked, and the information actually needed by the user is generated.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides the automatic pushed information generation system with the tracking function, which can effectively avoid mechanical message pushing in the prior art, so that the message pushing becomes more accurate and humanized, the user needs to be mastered more accurately and practically, and the work handling efficiency of the user is improved.
The technical scheme for solving the technical problems is as follows: an automatic generation system of push information with tracking function includes collecting data information of target software by data collection module, classifying target software set labels, screening the data information collected by data collection module according to set screening rule by screening module, sending the screened data information to data tracking module, tracking the screened data information by data tracking module in real time and sending it to management platform and learning module, storing the data information in server by management platform, calculating out information needed by user and sending it to information push module by learning module according to set learning rule, selecting push information stored in server by information push module according to information needed by user currently or periodically, and pushed to the user through the display medium.
Preferably, the screening module is connected with a cache module, the cache module is connected with the data tracking module, when the screening module screens the data information according to a set screening rule to form available information and unavailable information, the available information is sent to the management platform, the unavailable information is cached in the cache module, and when the occurrence frequency of the data information stored in the cache module is greater than a set threshold value, the cache module sends the data information to the data tracking module for real-time tracking.
Preferably, the server at least comprises a first storage module and a second storage module, wherein the first storage module is used for storing data information of the data tracking module, the second storage module is used for storing push information, each piece of push information is provided with a plurality of identity tags for distinguishing, and the identity tags correspond to tags in the information required by the user and generated after learning.
Preferably, the server further includes a third storage module, where the third storage module is configured to record and store a pushing result of the pushing information that has been pushed by the information pushing module, and the pushing result reflects whether the user uses the pushing information and completes an appointed action.
Preferably, when the data tracking module tracks the data, the data information is classified and marked, and is sorted according to the time relationship and the frequency respectively.
Preferably, the screening rule comprises: setting the daily living habits of the users required to be known according to the push information stored in the server, screening dynamic software information capable of reflecting the daily living habits of the users in the software used by the users, eliminating the accidental events with less occurrence frequency as unavailable information, and using the residual information as available information.
Preferably, the learning rule includes: and based on the data information selected for tracking, correlating according to the events before and after the event occurs, calculating the current or specific period range requirement information of the user, and recording and feeding back the requirement information.
Preferably, the display medium includes one or a combination of APP, a short message and a webpage popup window.
Preferably, the target software includes payment software, social software, a browser, and functional software.
The invention has the beneficial effects that: the invention provides an automatic pushed information generation system with a tracking function, which can effectively avoid mechanical message pushing in the prior art, so that the message pushing becomes more accurate and humanized, the user needs to be mastered more accurately and practically, and the work efficiency of a user is improved.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, this embodiment discloses an automatic pushed information generation system with a tracking function, which includes a data acquisition module for acquiring data information of target software, and setting tags for classifying the target software, where the acquired data information of target software of different classifications is different, a screening module for screening the data information acquired by the data acquisition module according to set screening rules, and sending the screened data information to a data tracking module, the data tracking module for tracking the screened data information in real time and sending the data information to a management platform and a learning module, respectively, the management platform stores the data information in a server, the learning module for calculating information required by a user according to the set learning rules, and the information pushing module for selecting pushed information stored in the server according to the information required by the user currently or periodically And pushed to the user through the display medium.
Specifically, the data acquisition module acquires the information required for pushing the information and the corresponding target software according to the information required in the information to be pushed aiming at the classified target software, for example, the information to be pushed is information of a loan product, and the information can be acquired by acquiring the consumption condition of the user in daily life, and the acquired user information can include purchased products, amount, payment account, payment time and the like; the information which is irrelevant to the information to be pushed is screened and removed by the screening module, useful information is fed back to the data tracking module, the data tracking module tracks the information generated by following or associating front and back locks when the useful information is generated through the available information, for example, a user consumes and purchases a batch of decoration materials, and the front and back data display the information that the user pays a contract money of a decoration company and purchases household appliances, so that the learning module deduces that the user may need to purchase furniture; other areas may be analogized from this. Therefore, the information pushing module extracts the pushing messages stored in the server, the pushing messages comprise information related to furniture, and if a plurality of pushing messages of the type exist, the pushing messages are sequentially or alternately pushed to the user.
Preferably, the screening module is connected with a cache module, the cache module is connected with the data tracking module, when the screening module screens the data information according to a set screening rule to form available information and unavailable information, the available information is sent to the management platform, the unavailable information is cached in the cache module, and when the occurrence frequency of the data information stored in the cache module is greater than a set threshold value, the cache module sends the data information to the data tracking module for real-time tracking.
In the data processing process, some screened and rejected data information may be invalid information at this time, but does not represent that the screened and rejected data information is always invalid information, i.e. unusable information.
Preferably, the server at least comprises a first storage module and a second storage module, wherein the first storage module is used for storing data information of the data tracking module, the second storage module is used for storing push information, each piece of push information is provided with a plurality of identity tags for distinguishing, and the identity tags correspond to tags in the information required by the user and generated after learning. And setting at least two storage modules of the server, and storing the tracking information and the subsequent result respectively. Enabling system data to be easily invoked and managed.
Preferably, the server further includes a third storage module, where the third storage module is configured to record and store a pushing result of the pushing information that has been pushed by the information pushing module, and the pushing result reflects whether the user uses the pushing information and completes an appointed action.
Specifically, after the system pushes a push message to the user according to the data tracking condition, whether the user responds to the push message by means of clicking, registering, and the like, and a result specifically used for determining whether the response is valid is generated, which is taken as an example in this embodiment, the determination may be made by consumption or registration; and if the same type of push message is judged to be invalid, the message of the invalid push is not pushed for the next time, wherein the number of times can be set to 2.
Preferably, when the data tracking module tracks the data information, the data information is classified and marked, and is sorted according to the time relationship and the frequency respectively. The reason for sorting according to time and frequency is to ensure that the time when the user receives the push message corresponds to the time point generated by the past actual behavior, and the frequency represents the preference degree of the user.
Preferably, the screening rule comprises: setting the daily living habits of the users required to be known according to the push information stored in the server, screening dynamic software information capable of reflecting the daily living habits of the users in the software used by the users, eliminating the accidental events with less occurrence frequency as unavailable information, and using the residual information as available information.
Preferably, the learning rule includes: and based on the data information selected for tracking, correlating according to the events before and after the event occurs, calculating the current or specific period range requirement information of the user, and recording and feeding back the requirement information. Or the current consumption of the user is catering consumption, the user can consume in entertainment places such as KTV and the like with a high probability in the subsequent consumption records according to the past consumption habits of the user, and at the moment, the related information of the entertainment places is pushed for the user. The learning process is embodied as calculating the possible behaviors of the user in the current or a certain period according to the daily behavior habit of the user.
Preferably, the display medium includes one or a combination of APP, a short message and a webpage popup window.
Preferably, the target software includes payment software, social software, a browser, and functional software.
The above examples are given by way of illustration only and are not intended to limit the actual scope of the present application, which can be reasonably extended by those skilled in the art based on the related contents listed in the examples.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. An automatic information generation system with a tracking function is characterized in that a data acquisition module acquires data information of target software, the target software is classified according to set labels, the data information acquired by the target software in different classifications is different, a screening module screens the data information acquired by the data acquisition module according to set screening rules, the screened data information is sent to a data tracking module, the data tracking module tracks the screened data information in real time and sends the data information to a management platform and a learning module respectively, the management platform stores the data information in a server, the learning module calculates information required by a user according to the set learning rules and sends the information to an information pushing module, the information pushing module selects pushing information stored in the server according to the information required by the user currently or periodically, and pushed to the user through the display medium.
2. The system according to claim 1, wherein the filtering module is connected to a cache module, the cache module is connected to the data tracking module, and when the filtering module filters the data information according to a set filtering rule to form available information and unavailable information, the available information is sent to the management platform, the unavailable information is cached in the cache module, and when the number of occurrences of the data information stored in the cache module is greater than a set threshold, the cache module sends the data information to the data tracking module for real-time tracking.
3. The system of claim 2, wherein the server comprises at least a first storage module and a second storage module, the first storage module is configured to store data information of the data tracking module, the second storage module is configured to store push information, each push information has a plurality of identity tags for distinguishing, and the identity tags correspond to tags in the information required by the user after learning.
4. The system according to claim 3, wherein the server further comprises a third storage module, and the third storage module is configured to record and store a pushing result of the pushing information that has been pushed by the information pushing module, where the pushing result reflects whether the user uses the pushing information and completes a specified action.
5. The system of claim 4, wherein the data tracking module classifies and labels the data information and sorts the data information according to time and frequency when tracking the data.
6. The system of claim 5, wherein the filtering rule comprises: setting the daily living habits of the users required to be known according to the push information stored in the server, screening dynamic software information capable of reflecting the daily living habits of the users in the software used by the users, eliminating the accidental events with less occurrence frequency as unavailable information, and using the residual information as available information.
7. The system of claim 6, wherein the learning rule comprises: and based on the data information selected for tracking, correlating according to the events before and after the event occurs, calculating the current or specific period range requirement information of the user, and recording and feeding back the requirement information.
8. The system of claim 7, wherein the display medium comprises one or a combination of APP, SMS and webpage popup.
9. The system for automatically generating pushed information with the tracking function as claimed in any one of claims 1 to 8, wherein the target software comprises payment software, social software, a browser and functional software.
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| CN202110204170.1A CN112925815B (en) | 2021-02-23 | 2021-02-23 | Push information automatic generation system with tracking function |
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