CN117435781A - Service pushing method, device, computer equipment and storage medium - Google Patents

Service pushing method, device, computer equipment and storage medium Download PDF

Info

Publication number
CN117435781A
CN117435781A CN202311250546.8A CN202311250546A CN117435781A CN 117435781 A CN117435781 A CN 117435781A CN 202311250546 A CN202311250546 A CN 202311250546A CN 117435781 A CN117435781 A CN 117435781A
Authority
CN
China
Prior art keywords
service
user
keywords
business
recommended
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.)
Pending
Application number
CN202311250546.8A
Other languages
Chinese (zh)
Inventor
袁玥
黄攀
惠海芳
黄丝
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bank of China Ltd
Original Assignee
Bank of China Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Bank of China Ltd filed Critical Bank of China Ltd
Priority to CN202311250546.8A priority Critical patent/CN117435781A/en
Publication of CN117435781A publication Critical patent/CN117435781A/en
Pending legal-status Critical Current

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
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9032—Query formulation
    • G06F16/90332—Natural language query formulation or dialogue systems
    • 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
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • 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
    • G06F16/903—Querying
    • G06F16/9038—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/542—Event management; Broadcasting; Multicasting; Notifications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/02—Banking, e.g. interest calculation or account maintenance
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Finance (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Accounting & Taxation (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Multimedia (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Technology Law (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a service pushing method, a service pushing device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant messaging software; matching recommended services corresponding to the service keywords of the user according to the service keywords; pushing service links corresponding to recommended services to users through instant messaging software; the business links are used for users to access target pages in resource interaction software of the business objects; the target page is used for the user to transact recommended business to the business object. By adopting the method, the information acquisition efficiency can be improved, and the user experience can be improved.

Description

Service pushing method, device, computer equipment and storage medium
Technical Field
The present application relates to the field of artificial intelligence technology, and in particular, to a service pushing method, apparatus, computer device, storage medium, and computer program product.
Background
The characteristics of a large number of banking businesses and complex businesses are that when a customer needs to know the specific conditions of related businesses, the customer needs to communicate with a business manager of a branch; when a customer wants to inquire about service consultation through a terminal such as a mobile phone, the customer cannot clearly know the professional vocabulary of the required service, so that the customer cannot inquire about corresponding service in a relevant APP such as a mobile phone bank.
In addition, for young user groups, there is no time to search marketing messages of various banking APP in the daytime, and the night may involve bank production shutdown service, and the required business related information cannot be acquired in time.
In summary, the mode of acquiring the business related information of the bank by the client is single, the information acquisition efficiency is low, and the use experience of the client is poor.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a service pushing method, apparatus, computer device, computer readable storage medium, and computer program product that can improve information acquisition efficiency and improve user experience.
In a first aspect, the present application provides a service push method. The method comprises the following steps:
extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
matching recommended services corresponding to the service keywords of the user according to the service keywords;
pushing the service links corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
In one embodiment, the method further comprises:
acquiring public number authorization information according to the identity information of the user; the public number authorization information is used for authorizing a user to consult a public number by using a service in the instant messaging software;
under the condition of successfully acquiring the public number authorization information, acquiring consultation function authorization information; the consultation function authorization information is used for authorizing a user to use the artificial intelligence dialogue function in the business consultation public number.
In one embodiment, the method further comprises:
determining a message notification template of the recommended service according to the recommended service corresponding to the service keyword;
and pushing the recommended service to a user in the form of message notification according to the data format of the message notification template.
In one embodiment, after the step of extracting the business keyword from the dialogue interaction information generated by the user and the business consultation robot, the method further includes:
determining the acquisition time of the business keywords;
storing the acquired time and the business keywords into a storage system correspondingly;
retrieving historical keywords from the storage system; the historical keywords are the business keywords of which the acquisition time is within a preset time range;
and pushing the service links of the recommended service corresponding to the history keywords to the user.
In one embodiment, after the step of pushing the service link of the recommended service corresponding to the history keyword to the user, the method further includes:
and deleting the historical keywords in the storage system.
In one embodiment, the matching, according to the service keyword, the recommended service corresponding to the service keyword of the user includes:
obtaining the preference service type of the user according to the service keywords;
and matching to obtain the recommended service corresponding to the preference service type of the user.
In a second aspect, the present application further provides a service pushing device. The device comprises:
the business keyword extraction module is used for extracting business keywords from dialogue interaction information generated by the user and the business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
the service matching module is used for matching recommended services corresponding to the service keywords of the user according to the service keywords;
the link pushing module is used for pushing the service link corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
matching recommended services corresponding to the service keywords of the user according to the service keywords;
pushing the service links corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
matching recommended services corresponding to the service keywords of the user according to the service keywords;
pushing the service links corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
matching recommended services corresponding to the service keywords of the user according to the service keywords;
pushing the service links corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
According to the business pushing method, the device, the computer equipment, the storage medium and the computer program product, firstly, the business keywords are extracted from dialogue interaction information generated by the user and the business consultation robot, then the recommended business corresponding to the business keywords of the user is matched according to the business keywords, finally, the business links corresponding to the recommended business are pushed to the user through the instant messaging software, so that the user handles the recommended business to the business object by accessing the target page in the resource interaction software of the business object, the business object handling mode is enriched, the efficiency of acquiring the business information by the user is improved, meanwhile, the function development is carried out by utilizing the business consultation public number in the instant messaging software, the user does not need to solely follow the consultation software, the convenience of business consultation is improved, and the use experience of the user handling business is further improved.
Drawings
FIG. 1 is an application environment diagram of a service push method in one embodiment;
FIG. 2 is a flow chart of a method for pushing services in one embodiment;
fig. 3 is a flow chart of a service pushing method in another embodiment;
FIG. 4 is a block diagram of a service pushing device in one embodiment;
FIG. 5 is an internal block diagram of a computer device in one embodiment;
fig. 6 is an internal structural view of a computer device in another embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The service pushing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a service pushing method is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps:
s210, extracting business keywords from dialogue interaction information generated by a user and a business consultation robot.
The business consultation robot is realized by an artificial intelligent dialogue function of a business consultation public number of a business object in instant messaging software, wherein the business object comprises a bank or a securities institution, the instant messaging software comprises a WeChat and a WeChat, the business consultation public number comprises a WeChat public number which is set by the bank for the consultation business, and the artificial intelligent dialogue function comprises a ChatGPT chat function which is embedded in the WeChat bank public number.
The service keywords comprise keywords in the content of the service consultation robot reply user, and the keywords are related to the service of the service object, and are generally professional terms obtained after information understanding and integration.
For example, the user proposes a problem of "how to get financial", and the content of the ChatGPT reply is "you want to make own assets value-added by investment financial", so as to obtain the keyword "investment financial".
S220, matching recommended services corresponding to the service keywords of the user according to the service keywords.
The recommended service refers to a service which can be provided by the service object corresponding to the service keyword, such as investment service of a bank.
S230, pushing the service links corresponding to the recommended service to the user through the instant messaging software.
The service link is used for a user to access a target page in resource interaction software of the service object; the target page is used for the user to transact recommended business to the business object.
The resource interaction software of the business object comprises, but is not limited to, a bank APP for business handling;
illustratively, in the case where the acquired keyword is "investment financing", the public number provides a jump to an investment financing page in the bank APP.
According to the service pushing method, firstly, the service keywords are extracted from dialogue interaction information generated by the user and the service consultation robot, then the recommended service corresponding to the service keywords of the user is matched according to the service keywords, finally, the service links corresponding to the recommended service are pushed to the user through the instant messaging software, so that the user can transact the recommended service to the service object by accessing the target page in the resource interaction software of the service object, the service transacting mode of the service object is enriched, the efficiency of acquiring the service information of the user is improved, meanwhile, the function development is carried out by utilizing the service consultation public numbers in the instant messaging software, the user does not need to singly follow the consultation software, the convenience of service consultation is improved, and the service transacting experience of the user is further improved.
In one embodiment, the method further comprises: acquiring public number authorization information according to the identity information of the user; and under the condition of successfully acquiring the public number authorization information, acquiring the consultation function authorization information.
The public number authorization information is used for authorizing a user to use the business consultation public number in instant communication software, and the consultation function authorization information is used for authorizing the user to use an artificial intelligent dialogue function in the business consultation public number. It should be noted that, the above authorization process may be completed when the user uses the function for the first time, and no repeated authorization is required for subsequent business consultation.
The user opens the WeChat through the mobile phone, searches the WeChat search column for the XX bank, pays attention to the public number and completes the authorization of the public number, identifies the user according to the user OpenID and stores the user information, and then the user selects whether the ChatGPT service is needed according to the prompt to complete the authorization of the consultation function.
In this embodiment, public number authorization information is obtained according to the identity information of the user, and then under the condition that the public number authorization information is successfully obtained, consultation function authorization information is obtained, so that the user can obtain the public number and the authorization of the consultation function for the first time by using the function under the premise of ensuring the safety of the user account, the repetition of authorization steps is avoided, and the efficiency of the consultation function is improved.
In one embodiment, the method further comprises: determining a message notification template of the recommended service according to the recommended service corresponding to the service keyword; and pushing the recommended service to the user in the form of message notification according to the data format of the message notification template.
The service keywords are keywords in the content of the service consultation robot replied users, the service related to the keywords is recommended service, and the message notification template is a template representing the content format of each recommended message.
Illustratively, a template message based on Bmob back-end cloud is employed to provide a jump link to a user and push a service recommendation message to a customer that meets its service preferences.
In this embodiment, firstly, a message notification template of a recommended service is determined according to a recommended service corresponding to a service keyword, then the recommended service is pushed to a user in a message notification form according to a data format of the message notification template, and the message notification generation efficiency is improved by using the message template, so that the message pushing efficiency is improved, and the use experience of the user on the service consultation function is improved.
In one embodiment, after the step of extracting the business keywords from the dialogue interaction information generated by the user and the business consultation robot, the method further includes: determining the acquisition time of the business keywords; correspondingly storing the acquired time and the service keywords into a storage system; retrieving historical keywords from a storage system; and pushing the service links of the recommended service corresponding to the history keywords to the user.
The acquiring time refers to the time of acquiring each service keyword, the storage system includes, but is not limited to, redis, and the history keywords are service keywords with the acquiring time within a preset time range.
Illustratively, based on httptext, the latest user dialogue keyword information is periodically captured, data is analyzed through jso, the data is stored in Redis according to a certain format, and after the data capture module captures the keyword information of the user required service, the corresponding user required service keyword information summary is extracted from the Redis recently and provided for the user to transact APP links of related services.
In this embodiment, firstly, the acquisition time of the service keyword is determined, then the acquisition time and the service keyword are correspondingly stored in the storage system, further the history keyword is called from the storage system, finally, the service link of the recommended service corresponding to the history keyword is pushed to the user, the data request is responded more quickly by storing the data of the captured keyword, and meanwhile, the keyword in a certain time range is used for recommending the service, so that the accuracy of service recommendation is improved.
In one embodiment, after the step of pushing the service link of the recommended service corresponding to the history keyword to the user, the method further includes: and deleting the history keywords in the storage system.
In this embodiment, a timing cleaning mechanism is set for storing keywords while capturing and storing the keywords at a timing, and data of historical keywords are deleted after the recommended task is completed, so that consumption of redundant data storage resources can be reduced, and utilization efficiency of the storage resources is improved.
In one embodiment, matching recommended services corresponding to the user's business keywords according to the business keywords includes: obtaining the preference service type of the user according to the service keywords; and matching to obtain recommended services corresponding to the type of the user preference service.
Wherein the preferred service type refers to the service type, such as investment type, preferred by the user for the service keyword display.
Illustratively, the corresponding summary of the service key information required recently by the user is extracted from the Redis, the service preference of the user is estimated, and the APP link for handling the related service is provided for the user.
In this embodiment, firstly, according to the service keywords, a preferred service type of the user is obtained, then, a recommended service corresponding to the preferred service type of the user is obtained by matching, the service recommendation process is performed in sections, and the accuracy of service recommendation is improved by performing one-time screening through the setting of the preferred type.
In another embodiment, as shown in fig. 3, a service pushing method is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps:
s301, acquiring public number authorization information according to identity information of a user, and acquiring consultation function authorization information under the condition that the public number authorization information is successfully acquired;
s302, extracting business keywords from dialogue interaction information generated by a user and a business consultation robot;
s303, determining the acquisition time of the service keywords, and storing the acquisition time and the service keywords into a storage system correspondingly;
s304, calling the history keywords from the storage system;
s305, obtaining the preference service type of the user according to the history keywords and the service keywords;
s306, matching to obtain recommended services corresponding to the preference service types of the users;
s307, pushing the service links of the recommended service to the user;
s308, determining a message notification template of the recommended service;
s309, pushing the recommended service to the user in the form of message notification according to the data format of the message notification template;
s310, deleting the history keywords in the storage system.
It should be noted that, the specific limitation of the above steps may be referred to the specific limitation of a service pushing method, which is not described herein.
The service push method is described in detail below in a specific embodiment. It is to be understood that the following description is exemplary only and is not intended to limit the application to the details of construction and the arrangements of the components set forth herein.
In order to improve user experience, maintain the existing customer group, provide 24 hours online professional service for users, enable users to hold the income opportunity in time, the application provides a special function recommendation page design of bank public numbers based on ChatGPT, a writing program embeds the ChatGPT authorization function in the bank public numbers, and a list of special function recommendation pages is added in the bank public numbers. The user can talk with ChatGPT under the field to describe the type of service the user needs.
In the client questioning process, the client questioning language may not be professional enough, and the ChatGPT solves the user's question according to the powerful information understanding and integrating capability, changes the non-professional term into the professional term, and captures what kind of banking business the user actually needs.
In addition, the WeChat public number is associated with APP such as mobile banking and the like to provide a link capable of jumping, and the link capable of directly jumping to the corresponding APP of the banking is provided in the public number, so that the benefit of customers is maximized.
Illustratively, the user proposes the problem of how to get financial, the ChatGPT captures that the user wants to add value to his own assets, so as to acquire the keyword investment financial, and the public number provides a jump to the bank APP investment financial page, so that the benefit of the customer is maximized.
The method comprises the steps of converting a professional vocabulary extracted from a user interaction language by ChatGPT into a link capable of directly jumping to the business marketing class or the transaction class. The httpcalient can be used for capturing the vocabulary extracted by the ChatGPT, the corresponding business keywords are obtained through jSoup analysis, and the template message based on Bmob back-end cloud is adopted for providing the jump link for the user.
The ChatGPT is a large language model developed by OpenAI, can realize various tasks such as language generation, question and answer, dialogue and the like, is widely applied to the field of natural language processing, and is widely focused due to excellent accuracy and language generation capability.
Among them, httpcalient is a client programming toolkit that can be used to provide an efficient, up-to-date, function-rich client programming toolkit that supports the HTTP protocol, and that supports the latest version and advice of the HTTP protocol.
The jSoup is an HTML parser of Java, and can directly parse a URL address and HTML text content.
Bmob is mobile application software capable of developing cloud storage, and a safe and flexible background management system is rapidly added to the application software, so that various information stored in a terminal can be conveniently browsed. Aiming at the development characteristics of the mobile application, bmob also provides active pushing service, so that a mobile developer can directly push information from a server to an application program, and services such as active updating of software, information notification and the like are realized.
The service pushing method provided by the application provides a ChatGPT module, a service keyword grabbing module, a jump to professional APP module and a message notification module. The ChatGPT module completes user authorization, captures service wanted by a user in a form of dialogue with the user, and summarizes the service into a technical term; the service keyword grabbing module is used for grabbing keyword information of a service required by a user at fixed time; the jump-to-professional APP module judges whether to push a message to a user according to the extracted keywords, and if necessary, provides a link for jumping to a service handling APP related module; the message notification module selects a template to push the WeChat message to the user.
The service pushing method provided by the application provides the following steps:
(1) The user opens the WeChat through the mobile phone, searches the XX bank in the WeChat search column, pays attention to the public number and authorizes, identifies the user according to the user OpenID and stores the user information.
(2) The user selects whether the ChatGPT service is needed according to the prompt, completes authorization, captures the service wanted by the user through the form of dialogue with the user, and summarizes the service into the professional term.
It should be noted that, the authorization process is a preparation step, and the user does not need to repeat this step when using again after paying attention to and authorizing.
(3) The data grabbing module is used for regularly grabbing the latest user dialogue keyword information based on HttpClient, analyzing data through jSoup, storing the data into Redis according to a certain format, and setting a timing cleaning mechanism.
In the step (3), the data captured by the data capturing module is stored, so that the data request can be responded more quickly, and meanwhile, the redundant data storage can be reduced when the data is used up or deleted.
(4) And each time the data grabbing module grabs key information of the service required by the user, the corresponding summary of the key information of the service required by the user recently is taken out from the Redis, the service preference of the user is estimated, and the APP link for handling the related service by the user is provided.
(5) And (3) according to the summary of the service key information required by the user recently acquired in the step (4), periodically calling a message notification module, and pushing a service recommendation message conforming to the service preference of the client by the message notification module based on the Bmob back-end cloud selection template.
The service pushing method provided by the application has the advantages of light weight, no need of software installation and convenience in use for users based on WeChat public numbers, can improve user experience, maintains the existing client group, provides 24-hour online professional service for users, and enables the users to hold income opportunities in time.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a service pushing device for realizing the service pushing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of one or more service pushing devices provided below may refer to the limitation of the service pushing method hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 4, there is provided a service pushing apparatus, including: a service keyword extraction module 401, a service matching module 402, and a link pushing module 403, wherein:
a service keyword extraction module 401, configured to extract a service keyword from dialogue interaction information generated by a user and a service consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant messaging software;
a service matching module 402, configured to match recommended services corresponding to the service keywords of the user according to the service keywords;
the link pushing module 403 is configured to push, through instant messaging software, a service link corresponding to the recommended service to the user; the business links are used for users to access target pages in resource interaction software of the business objects; the target page is used for the user to transact recommended business to the business object.
In one embodiment, the apparatus is further to: acquiring public number authorization information according to the identity information of the user; the public number authorization information is used for authorizing a user to consult public numbers by using services in instant messaging software; under the condition of successfully acquiring public number authorization information, acquiring consultation function authorization information; the counseling function authorization information is used to authorize the user to use the artificial intelligence dialogue function in business counseling public numbers.
In one embodiment, the apparatus is further to: determining a message notification template of the recommended service according to the recommended service corresponding to the service keyword; and pushing the recommended service to the user in the form of message notification according to the data format of the message notification template.
In one embodiment, the apparatus is further to: determining the acquisition time of the business keywords; correspondingly storing the acquired time and the service keywords into a storage system; retrieving historical keywords from a storage system; the historical keywords are business keywords with acquisition time within a preset time range; and pushing the service links of the recommended service corresponding to the history keywords to the user.
In one embodiment, the apparatus is further to: and deleting the history keywords in the storage system.
In one embodiment, the traffic matching module is further configured to: obtaining the preference service type of the user according to the service keywords; and matching to obtain recommended services corresponding to the type of the user preference service.
The modules in the service pushing device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing related data of keywords and services. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a service push method.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by a processor implements a service push method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structures shown in fig. 5 and 6 are block diagrams of only portions of structures that are relevant to the present application and are not intended to limit the computer device on which the present application may be implemented, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device includes a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of the method embodiments described above.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. A service push method, the method comprising:
extracting business keywords from dialogue interaction information generated by a user and a business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
matching recommended services corresponding to the service keywords of the user according to the service keywords;
pushing the service links corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
2. The method according to claim 1, wherein the method further comprises:
acquiring public number authorization information according to the identity information of the user; the public number authorization information is used for authorizing a user to consult a public number by using a service in the instant messaging software;
under the condition of successfully acquiring the public number authorization information, acquiring consultation function authorization information; the consultation function authorization information is used for authorizing a user to use the artificial intelligence dialogue function in the business consultation public number.
3. The method according to claim 1, wherein the method further comprises:
determining a message notification template of the recommended service according to the recommended service corresponding to the service keyword;
and pushing the recommended service to a user in the form of message notification according to the data format of the message notification template.
4. The method of claim 3, wherein after the step of extracting the business keywords from dialogue interaction information generated by the user and the business consultation robot, the method further comprises:
determining the acquisition time of the business keywords;
storing the acquired time and the business keywords into a storage system correspondingly;
retrieving historical keywords from the storage system; the historical keywords are the business keywords of which the acquisition time is within a preset time range;
and pushing the service links of the recommended service corresponding to the history keywords to the user.
5. The method according to claim 4, wherein after the step of pushing the service links of the recommended service corresponding to the history keyword to the user, the method further comprises:
and deleting the historical keywords in the storage system.
6. The method according to any one of claims 1 to 5, wherein said matching recommended services corresponding to the service keywords of the user according to the service keywords comprises:
obtaining the preference service type of the user according to the service keywords;
and matching to obtain the recommended service corresponding to the preference service type of the user.
7. A service pushing device, characterized in that the device comprises:
the business keyword extraction module is used for extracting business keywords from dialogue interaction information generated by the user and the business consultation robot; the service consultation robot is realized by an artificial intelligent dialogue function of a service consultation public number of a service object in instant communication software;
the service matching module is used for matching recommended services corresponding to the service keywords of the user according to the service keywords;
the link pushing module is used for pushing the service link corresponding to the recommended service to the user through instant messaging software; the service link is used for the user to access a target page in resource interaction software of a service object; the target page is used for the user to transact the recommended service to the service object.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
CN202311250546.8A 2023-09-26 2023-09-26 Service pushing method, device, computer equipment and storage medium Pending CN117435781A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311250546.8A CN117435781A (en) 2023-09-26 2023-09-26 Service pushing method, device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311250546.8A CN117435781A (en) 2023-09-26 2023-09-26 Service pushing method, device, computer equipment and storage medium

Publications (1)

Publication Number Publication Date
CN117435781A true CN117435781A (en) 2024-01-23

Family

ID=89548842

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311250546.8A Pending CN117435781A (en) 2023-09-26 2023-09-26 Service pushing method, device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN117435781A (en)

Similar Documents

Publication Publication Date Title
US20190278805A1 (en) Visual blockchain browser
US10572685B1 (en) Protecting sensitive data
CN102272784A (en) Method, apparatus and computer program product for providing analysis and visualization of content items association
WO2012102761A1 (en) Method and system for providing detailed information in an interactive manner in a short message service (sms) environment
CN109359237A (en) It is a kind of for search for boarding program method and apparatus
US20200050906A1 (en) Dynamic contextual data capture
CN102591925A (en) Multidimensional data-centric service protocol
CN110428342B (en) Data restoration method, server, customer service side and storage medium
CN116166514A (en) Multi-channel data linkage processing method, device, computer equipment and storage medium
CN115687826A (en) Page refreshing method and device, computer equipment and storage medium
CN117435781A (en) Service pushing method, device, computer equipment and storage medium
KR20230120709A (en) Method and system for recommending user customized policy
CN109120783A (en) Information acquisition method and device, mobile terminal and computer readable storage medium
CN114238585A (en) Query method and device based on 5G message, computer equipment and storage medium
CN109726322A (en) Method and apparatus for pushed information
CN117216425A (en) Financial business page display method, device, computer equipment and storage medium
CN117332164A (en) Financial business page display method, device, computer equipment and storage medium
CN117033768A (en) Carbon emission information recommendation method, device and equipment based on financial client
CN115481091A (en) File uploading method and device, computer equipment and storage medium
CN118608259A (en) Recommendation method for financial products
CN117573387A (en) Message pushing method, device, computer equipment and storage medium
CN117112089A (en) Payment service processing method, device, equipment, storage medium and product
CN116303988A (en) Query request processing method, device, electronic equipment, medium and program product
CN118195720A (en) Product recommendation method, device, electronic equipment and storage medium
CN116860576A (en) Method, device, computer equipment and storage medium for recording operation log

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