CN113946756A - Information recommendation method, device, equipment, medium and program product - Google Patents

Information recommendation method, device, equipment, medium and program product Download PDF

Info

Publication number
CN113946756A
CN113946756A CN202111280019.2A CN202111280019A CN113946756A CN 113946756 A CN113946756 A CN 113946756A CN 202111280019 A CN202111280019 A CN 202111280019A CN 113946756 A CN113946756 A CN 113946756A
Authority
CN
China
Prior art keywords
information
service
affair
recommendation
government
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
CN202111280019.2A
Other languages
Chinese (zh)
Inventor
张津豪
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.)
China Construction Bank Corp
Original Assignee
China Construction Bank Corp
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 China Construction Bank Corp filed Critical China Construction Bank Corp
Priority to CN202111280019.2A priority Critical patent/CN113946756A/en
Publication of CN113946756A publication Critical patent/CN113946756A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

The disclosure provides an information recommendation method which can be applied to the technical field of artificial intelligence and the technical field of networks. The information recommendation method comprises the following steps: collecting a plurality of pieces of government affair service affair information according to the operation characteristics of a user, wherein each piece of government affair service affair information comprises the release time of the government affair service affair; generating a first recommendation list according to the information of the plurality of government affair service affairs; based on the preset service shielding item information, government affair service item information which is the same as the preset service shielding item information in the first recommendation list is filtered out, and a second recommendation list is generated; and updating the arrangement sequence of the government affair service affair information in the second recommendation list based on the preset service recommendation affair information to generate a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation affair information are predetermined based on the release time of the government affair service affairs. The present disclosure also provides an information recommendation apparatus, device, storage medium, and program product.

Description

Information recommendation method, device, equipment, medium and program product
Technical Field
The present disclosure relates to the field of artificial intelligence technology and network technology, and in particular, to an information recommendation method, apparatus, device, medium, and program product.
Background
With the development of artificial intelligence technology, information can be recommended to users by using the artificial intelligence technology. For example, based on the goods purchased by the user, the goods related to the purchased goods are recommended to the user to meet the purchase demand of the user. Specifically, for example, with respect to an article purchased by the user, articles of other categories related to the purchased article may be recommended to the user.
However, since the data in different application fields have different characteristics, it is necessary to make reasonable recommendations for the characteristics of the data in a specific field, otherwise, the recommendation effect is difficult to achieve a satisfactory level. For example, it is difficult to directly apply the method of commodity recommendation to other application fields. In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: in the related art, the government affair service event information is recommended to the user, and the technical problem of low recommendation accuracy may occur, so that the actual requirement of the user cannot be met.
Disclosure of Invention
In view of the above, the present disclosure provides an information recommendation method, apparatus, device, medium, and program product.
According to a first aspect of the present disclosure, there is provided an information recommendation method including: collecting a plurality of pieces of government affair service affair information according to the operation characteristics of a user, wherein each piece of government affair service affair information comprises the release time of the government affair service affair;
generating a first recommendation list according to the government affair service affair information;
based on preset service shielding item information, filtering out government affair service item information which is the same as the preset service shielding item information in the first recommendation list, and generating a second recommendation list; and
updating the arrangement sequence of the government affair service affair information in the second recommendation list based on preset service recommendation information to generate a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation information are predetermined based on the release time of the government affair service affairs.
According to the embodiment of the disclosure, the collecting of the information of the plurality of government affairs service affairs according to the operation characteristics of the user comprises:
acquiring first government affair service affair information according to historical operation characteristics of a user;
acquiring second government affair service affair information according to the real-time operation characteristics of the user; and
and obtaining a plurality of pieces of the government affairs service affair information according to the first government affair service affair information and the second government affair service affair information.
According to an embodiment of the present disclosure, the information recommendation method further includes:
displaying an interactive page for self-defining shielding item information and/or recommending item information;
acquiring newly added operation input based on the interactive page; and
and responding to the new adding operation, and generating new preset service shielding item information and/or new preset service recommending item information.
According to an embodiment of the present disclosure, the information recommendation method further includes:
acquiring a deleting operation input based on the interactive page; and
and in response to the deleting operation, deleting the preset service shielding item information and/or the preset service recommending item information aiming at the deleting operation.
According to an embodiment of the present disclosure, updating an arrangement order of the government affair service affair information in the second recommendation list based on preset service recommendation information, and generating the target recommendation list includes:
and setting the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, to generate the target recommendation list.
According to an embodiment of the present disclosure, the preset service recommendation item information includes a plurality of items;
the step of setting the government affair service affair information in the second recommendation list, which is the same as the preset service recommendation information, to generate the target recommendation list includes:
determining a top-set arrangement sequence of the plurality of preset service recommendation item information according to the release time of the government affair service items of the plurality of preset service recommendation item information;
and generating the target recommendation list by setting the government affair service affair information in the second recommendation list, which is the same as the preset service recommendation information, according to the set top arrangement sequence of the preset service recommendation information.
A second aspect of the present disclosure provides an information recommendation apparatus including:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring a plurality of pieces of government affair service affair information according to the operation characteristics of a user, and each piece of government affair service affair information comprises the release time of the government affair service affair;
a generating module, configured to generate a first recommendation list according to a plurality of pieces of government affair service event information;
the filtering module is used for filtering government affair service affair information which is the same as the preset service shielding affair information in the first recommendation list based on the preset service shielding affair information to generate a second recommendation list; and
and the sorting module is used for updating the arrangement sequence of the government affair service affair information in the second recommendation list based on preset service recommendation affair information and generating a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation affair information are predetermined based on the release time of the government affair service affair.
A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described information recommendation method.
The fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-mentioned information recommendation method.
A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above-described information recommendation method.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:
fig. 1 schematically illustrates an application scenario diagram of an information recommendation method, apparatus, device, medium, and program product according to an embodiment of the present disclosure;
FIG. 2 schematically shows a flow chart of an information recommendation method according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart for collecting information for a plurality of government service events based on operational characteristics of a user in accordance with an embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart for generating a target recommendation list according to an embodiment of the present disclosure;
fig. 5 schematically shows a flowchart of new preset service screening event information and/or preset service recommendation event information according to an embodiment of the present disclosure;
FIG. 6 schematically illustrates a flow chart for deleting preset service barrier information and/or preset service recommendation information in accordance with an embodiment of the present disclosure;
fig. 7 schematically shows a block diagram of the structure of an information recommendation device according to an embodiment of the present disclosure; and
fig. 8 schematically shows a block diagram of an electronic device adapted to implement the information recommendation method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
In the process of implementing the technical scheme disclosed by the invention, the inventor finds that in the process of recommending the government affair service affair information to the user in the related technology, the expired or revoked government affair service affair information is recommended to the user, so that the user cannot acquire the latest government affair service affair information in time, the user is easy to acquire the expired or revoked government affair service affair information, the accuracy of information recommendation is reduced, the actual requirements of the user cannot be met, and even the user can acquire the expired or revoked government affair service affair information through recommendation, and the related benefits of the user are lost.
An embodiment of the present disclosure provides an information recommendation method, including: collecting a plurality of pieces of government affair service affair information according to the operation characteristics of a user, wherein each piece of government affair service affair information comprises the release time of the government affair service affair; generating a first recommendation list according to the information of the plurality of government affair service affairs; based on the preset service shielding item information, government affair service item information which is the same as the preset service shielding item information in the first recommendation list is filtered out, and a second recommendation list is generated; and updating the arrangement sequence of the government affair service affair information in the second recommendation list based on the preset service recommendation affair information to generate a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation affair information are predetermined based on the release time of the government affair service affairs. Embodiments of the present disclosure provide an information recommendation apparatus, device, medium, and program product.
It should be noted that the information recommendation method and the information recommendation device provided by the present disclosure may be used in the artificial intelligence technical field and the network technical field, and may also be used in any fields other than the artificial intelligence technical field and the network technical field.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, necessary security measures are taken, and the customs of the public order is not violated.
Fig. 1 schematically shows an application scenario diagram of an information recommendation method and an information recommendation device according to an embodiment of the disclosure.
As shown in fig. 1, the application scenario 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the information recommendation method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the information recommendation device provided by the embodiment of the present disclosure may be generally disposed in the server 105. The information recommendation method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the information recommendation device provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
The information recommendation method of the disclosed embodiment will be described in detail below through fig. 2 to 6 based on the scenario described in fig. 1.
Fig. 2 schematically shows a flow chart of an information recommendation method according to an embodiment of the present disclosure.
As shown in fig. 2, the information recommendation method may include operations S210 to S240.
In operation S210, a plurality of pieces of government service affair information are collected according to the operation characteristics of the user, wherein each piece of government service affair information includes a release time of the government service affair.
According to an embodiment of the present disclosure, the government affair service event information may include service event information issued by a related organization or institution, for example, XX examination registration event information issued by a related institution, and YY certificate transaction flow event information may be included.
It should be noted that, in the case of modification of relevant regulations and regulations, relevant organizations or organizations may issue new government affair service event information according to the changed relevant regulations and regulations. This may result in the expiration or revocation of relevant government service event information published prior to modification of the relevant regulations or specifications.
According to an embodiment of the present disclosure, the operation characteristics of the user may include characteristics for user preference generated based on the government affairs service event information generated by the user operation. For example, in the case where the user inquires the government affairs service affair information about the examination affairs a plurality of times, the generated characteristic for the user preference may include the examination-type government affair service affair information based on the government affairs service affair information generated by the user's operation. According to the operation characteristics of the user, the information of a plurality of examination type government affairs service items can be collected so as to meet the actual requirements preferred by the user.
The user operation may include, for example, a query operation, a favorite operation, a focus operation, and the like.
In operation S220, a first recommendation list is generated according to a plurality of government affairs service event information.
According to an embodiment of the present disclosure, the plurality of government service event information in the first recommendation list may be sorted based on relevant preset rules, and the relevant preset rules may include a time order added to the first recommendation list, or may further include an order of importance level of each government service event information.
In operation S230, government affair service affair information identical to the preset service mask affair information in the first recommendation list is filtered out based on the preset service mask affair information, and a second recommendation list is generated.
In operation S240, the arrangement order of the government service affair information in the second recommendation list is updated based on the preset service recommendation information, and a target recommendation list is generated, wherein the preset service mask information and the preset service recommendation information are predetermined based on the release time of the government service affairs.
According to an embodiment of the present disclosure, the preset service mask transaction information may include government service transaction information that has expired or expired. For example, in the case where the XX test has been cancelled by the relevant regulation in 2020, the preset service mask matter information may include XX test entry matter information issued in 2006.
According to an embodiment of the present disclosure, the preset service recommendation information may include newly issued government service event information of the relevant organization or institution, for example, the government service event information issued by the relevant organization or institution according to the modified relevant regulation or specification after the relevant regulation or specification is modified.
According to the embodiment of the disclosure, the arrangement sequence of the government affair service affair information in the second recommendation list is updated based on the preset service recommendation affair information, so that the probability that the preset service recommendation affair information is concerned by the user can be improved, the user can be timely prompted to obtain the latest published government affair service affair information of the related organization or institution, the preference of the user is met, and the accuracy of the recommendation of the government affair service affair information is improved.
It should be noted that, the preset service screening event information and the preset service recommendation event information may be predetermined by manual screening, but is not limited thereto, and the preset service screening event information and the preset service recommendation event information may also be predetermined based on the release time of the government affair service event by using a neural network model in the related art.
According to the embodiment of the disclosure, the target recommendation list may include a recommendation list displayed to the user, and by recommending the government affair service affair information in the target recommendation list to the user, the actual requirement of the user for acquiring the government affair service affair information related to the preference of the user can be met.
It should be noted that the number of the government affair service affair information in the target recommendation list may be any number, for example, 5, 7 or 8, and those skilled in the art may set the number of the government service affair information in the target recommendation list according to actual requirements, which is not limited in the embodiment of the present disclosure.
According to the embodiment of the disclosure, a plurality of pieces of government affair service affair information are collected according to the operation characteristics of the user, the first recommendation list is generated according to the plurality of pieces of government affair service affair information, and the plurality of pieces of government affair service affair information which can meet the actual requirements of the user can be collected according to the preference of the user. Based on the preset service shielding item information, the government affair service item information in the first recommendation list, which is the same as the preset service shielding item information, is filtered, and the second recommendation list is generated, so that the situation that the expired or abolished government affair service item information is recommended to the user can be avoided, and misleading caused by the fact that the user receives the expired or abolished government affair service item information is avoided, and the operation experience of the user is improved. And updating the arrangement sequence of the government affair service affair information in the second recommendation list based on the preset service recommendation affair information to generate a target recommendation list, so that the user can timely acquire the latest government affair service affair information issued by the related organization or institution. Compared with the prior art that the related commodities are recommended to the user according to the purchasing behavior or the collecting behavior of the user, the information recommendation method provided by the embodiment of the disclosure can improve the recommendation accuracy of the government affair service event information, so that the actual requirements of the user are further met.
FIG. 3 schematically illustrates a flow chart for collecting information for a plurality of government service events based on operational characteristics of a user according to an embodiment of the present disclosure.
As shown in fig. 3, operation S210 may include operations S310 to S330.
In operation S310, first government affairs service event information is collected according to the historical operating characteristics of the user.
In operation S320, second government affairs service event information is collected according to the real-time operation characteristics of the user.
In operation S330, a plurality of pieces of government affairs service affair information are obtained based on the first and second government affair service affair information.
According to an embodiment of the present disclosure, the historical operation characteristics of the user may include characteristics of historical operation preferences for the user generated based on government service event information generated by historical operation of the user during a historical period of time. For example, in the case where the user inquires the government affairs service affair information about the examination affairs a plurality of times in the historical event section, the government affairs service affair information generated based on the historical operation of the user may be generated, and the feature generating the historical operation preference for the user may include the examination-like government affair service affair information. According to the historical operating characteristics of the user, a plurality of pieces of examination-type government affair service affair information can be collected to be used as the first government affair service affair information. Thus, the first government service event information may reflect the user's historical preferences over a historical period of time.
According to an embodiment of the present disclosure, the real-time operation characteristics of the user may include characteristics of real-time operation preference for the user generated based on government affairs service event information generated by historical real-time operation of the user. For example, in the case where the user inquires about the government affair service item information about the certificate transaction flow a plurality of times, the feature of generating the preference for the real-time operation of the user may include certificate transaction-like government service item information based on the government service item information generated by the real-time operation of the user. According to the real-time operation characteristics of the user, a plurality of certificate handling type government affair service affair information can be collected to be used as second government affair service affair information. Thus, the second government service event information may reflect the user's real-time preferences.
It should be noted that historical operations of the user or real-time operations of the user may be recorded based on the database, and the historical operation characteristics of the user or the real-time operation characteristics of the user may be determined by the related data recorded in the database for the historical operations or the real-time operations of the user. The database may be built, for example, based on mongodb or redis.
According to the embodiment of the disclosure, first government affair service affair information is collected according to the historical operation characteristics of a user, and government affair service affair information related to the historical preference of the user in a historical time period can be collected according to the historical preference of the user in the historical time period; collecting second government affair service affair information according to the real-time operation characteristics of the user, and collecting government affair service affair information related to the real-time preference of the user according to the real-time preference of the user; according to the first government affair service affair information and the second government affair service affair information, the obtained plurality of government affair service affair information can comprehensively reflect the historical preference of the user and the real-time preference of the user, so that the actual requirement that the user obtains the government affair service affair information related to the self preference can be met, the accuracy of information recommendation is improved, and the operation experience of the user is improved.
According to an embodiment of the present disclosure, updating an arrangement order of the government affair service affair information in the second recommendation list based on the preset service recommendation information, and generating the target recommendation list includes:
and setting the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, to generate a target recommendation list.
According to the embodiment of the disclosure, in the target recommendation list, the government affair service item information which is the same as the preset service recommendation item information is in the top setting position, so that the probability of paying attention to the preset service recommendation item information can be improved when a user obtains the target recommendation list, and the user can timely know the latest government affair service item information issued by a related organization or organization, so that the accuracy of information recommendation is improved, and the actual requirements of the user are met.
According to an embodiment of the present disclosure, the preset service recommendation item information includes a plurality of.
The top setting of the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, and the generating of the target recommendation list may include:
determining a top arrangement sequence of the plurality of pieces of preset service recommendation information according to the release time of the government affair service affairs of the plurality of pieces of preset service recommendation information; and according to the top arrangement sequence of the plurality of pieces of preset service recommendation information, top-setting the government affair service information in the second recommendation list, which is the same as the plurality of pieces of preset service recommendation information, and generating a target recommendation list.
According to the embodiment of the disclosure, under the condition that the preset service recommendation information includes a plurality of pieces, the corresponding plurality of pieces of preset service recommendation information can be arranged in a reverse order according to the distribution time sequence of the government affair service affairs of the plurality of pieces of preset service recommendation information, so that the user can timely pay attention to the latest distributed government affair service affair information, the user is prevented from missing the update dynamics of the government affair service affairs of related organizations or institutions, and the operation experience of the user is improved.
FIG. 4 schematically shows a flow chart for generating a target recommendation list according to an embodiment of the present disclosure.
As shown in fig. 4, the first recommendation list 410 may include government service event information 401A, 401B, 401C, 401D, 401E, and the government service event information 401A, 401B, 401C, 401D, 401E may be collected according to the operation characteristics of the user.
The preset service mask transaction information may include preset service mask transaction information 401B ', 401E'. Based on the preset service screening event information 401B ', 401E', the government service event information 401B, 401E in the first recommendation list 410, which is the same as the preset service screening event information, is filtered out, and a second recommendation list 420 is generated, where the second recommendation list 420 may include the government service event information 401A, 401C, 401D.
The preset service recommendation information may include preset service recommendation information 401D ' and 401C ', wherein the release time of the preset service recommendation information 401D ' may be later than the preset service recommendation information 401C ', that is, the preset service recommendation information 401D ' may be the latest released government service recommendation information. Therefore, the preset service recommendation information may be arranged in the top order of the preset service recommendation information 401D 'and 401C'.
Based on the top ranking order of the preset service recommendation information, the government affair service recommendation information 401D and 401C in the second recommendation list 420 are top-ranked, and a target recommendation list 430 is generated. In the target recommendation list 430, the arrangement order of the government affair service event information may be 401D, 401C, 401A.
According to the embodiment of the disclosure, by displaying the target recommendation list 430 to the user, the user can timely pay attention to timely obtain the latest government affair service affair information issued by the related organization or institution according to the arrangement sequence of the government affair service affairs 401D, 401C and 401A in the target recommendation list 430, and avoid receiving the expired or abolished government affair service affair information, so that the accuracy of the recommendation of the government affair service information can be improved, the preference of the user can be met, and the actual requirements of the user can be further met.
It should be noted that the numbers of the government affairs service affair information, the preset service recommendation information and the preset service mask information described in fig. 4 are only exemplary. There may be any number of government affairs service event information, preset service recommendation event information and preset service mask event information, depending on implementation needs.
Fig. 5 schematically shows a flowchart of new preset service screening event information and/or preset service recommendation event information according to an embodiment of the present disclosure.
As shown in fig. 5, the new preset service screening event information and/or the preset service recommendation event information may include operations S510 to S530.
In operation S510, an interactive page for custom-screening event information and/or recommended event information is presented.
In operation S520, an add operation based on the interactive page input is acquired.
In operation S530, in response to the addition operation, new preset service mask item information and/or new preset service recommendation item information is generated.
According to the embodiment of the disclosure, the new operation based on the interactive page input can be executed by related page maintenance personnel, and can also be executed by a model constructed based on a neural network, so as to improve the speed and accuracy of generating new preset service shielding item information and/or new preset service recommendation item information.
Fig. 6 schematically shows a flowchart of deleting preset service barrier event information and/or preset service recommendation event information according to an embodiment of the present disclosure.
As shown in fig. 6, deleting the preset service screening transaction information and/or the preset service recommendation transaction information may include operations S610 to S620.
In operation S610, a deletion operation based on an interactive page input is acquired.
In operation S620, in response to the deletion operation, the preset service mask event information and/or the preset service recommendation event information for which the deletion operation is directed are deleted.
According to the embodiment of the disclosure, the deleting operation based on the interactive page input can be executed by related page maintenance personnel, and can also be executed by a model constructed based on a neural network, so as to improve the speed and the accuracy of deleting the preset service shielding item information and/or the preset service recommendation item information.
According to the embodiment of the disclosure, the preset service shielding item information and the preset service recommendation item information can be updated in time by generating the new preset service shielding item information and/or the new preset service recommendation item information and deleting the preset service shielding item information and/or the preset service recommendation item information aimed at by the deletion operation, so that the latest government affair service item information can be recommended for the user in time, the relevant expired or disused government affair service item information can be shielded in time, the recommendation accuracy and the real-time performance are improved, and the actual requirements of the user are further met.
Based on the information recommendation method, the disclosure also provides an information recommendation device. The apparatus will be described in detail below with reference to fig. 7.
Fig. 7 schematically shows a block diagram of the structure of an information recommendation apparatus according to an embodiment of the present disclosure.
As shown in fig. 7, the information recommendation apparatus 700 of this embodiment includes an acquisition module 710, a generation module 720, a filtering module 730, and a sorting module 740.
The collecting module 710 is configured to collect a plurality of pieces of government affair service affair information according to the operating characteristics of the user, where each piece of government affair service affair information includes a release time of the government affair service affair.
The generating module 720 is configured to generate a first recommendation list according to the plurality of government affairs service event information.
The filtering module 730 is configured to filter, based on the preset service mask item information, government affair service item information in the first recommendation list, which is the same as the preset service mask item information, and generate a second recommendation list.
The sorting module 740 is configured to update the arrangement order of the government affair service affair information in the second recommendation list based on the preset service recommendation item information, and generate a target recommendation list, where the preset service shielding item information and the preset service recommendation item information are predetermined based on the release time of the government affair service affairs.
According to an embodiment of the present disclosure, an acquisition module may include a first acquisition unit, a second acquisition unit, and a first determination unit.
The first acquisition unit is used for acquiring first government affair service affair information according to historical operation characteristics of a user.
The second acquisition unit is used for acquiring second government affair service affair information according to the real-time operation characteristics of the user.
The first determining unit is used for obtaining a plurality of pieces of government affairs service affair information according to the first government affair service affair information and the second government affair service affair information.
According to an embodiment of the present disclosure, the information recommendation apparatus may further include: the device comprises a display module, a first acquisition module and a newly added module.
The display module is used for displaying an interactive page used for self-defining shielding item information and/or recommending item information.
The first acquisition module is used for acquiring newly-added operation based on interactive page input.
The adding module is used for responding to adding operation and generating new preset service shielding item information and/or new preset service recommending item information.
According to an embodiment of the present disclosure, the information recommendation apparatus may further include: the device comprises a second acquisition module and a deletion module.
The second acquisition module is used for acquiring the deletion operation based on the interactive page input.
The deleting module is used for responding to the deleting operation and deleting the preset service shielding item information and/or the preset service recommending item information aiming at the deleting operation.
According to an embodiment of the present disclosure, the sorting module may include: a first set top unit.
The first top setting unit is used for setting the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, to generate a target recommendation list.
According to an embodiment of the present disclosure, the preset service recommendation item information includes a plurality of.
The sorting module may further include: the device comprises a sorting unit and a second top-placing unit.
The sequencing unit is used for determining the top arrangement sequence of the plurality of pieces of preset service recommendation information according to the release time of the government affair service affairs of the plurality of pieces of preset service recommendation information.
The second top setting unit is used for setting the top of the government affair service item information which is the same as the preset service recommendation item information in the second recommendation list according to the top arrangement sequence of the preset service recommendation item information to generate a target recommendation list.
According to the embodiment of the present disclosure, any plurality of the acquisition module 710, the generation module 720, the filtering module 730, and the sorting module 740 may be combined into one module to be implemented, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the acquisition module 710, the generation module 720, the filtering module 730, and the sorting module 740 may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or may be implemented by any one of three implementations of software, hardware, and firmware, or any suitable combination of any of them. Alternatively, at least one of the acquisition module 710, the generation module 720, the filtering module 730, and the ranking module 740 may be implemented at least in part as a computer program module that, when executed, may perform a corresponding function.
Fig. 8 schematically shows a block diagram of an electronic device adapted to implement the information recommendation method according to an embodiment of the present disclosure.
As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.
In the RAM803, various programs and data necessary for the operation of the electronic apparatus 800 are stored. The processor 801, the ROM802, and the RAM803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM802 and/or RAM 803. Note that the programs may also be stored in one or more memories other than the ROM802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
Electronic device 800 may also include input/output (I/O) interface 805, input/output (I/O) interface 805 also connected to bus 804, according to an embodiment of the present disclosure. Electronic device 800 may also include one or more of the following components connected to I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM802 and/or RAM803 described above and/or one or more memories other than the ROM802 and RAM 803.
Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated in the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the information recommendation method provided by the embodiment of the disclosure.
The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 801. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted in the form of a signal on a network medium, distributed, downloaded and installed via communication section 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims (10)

1. An information recommendation method, comprising:
collecting a plurality of pieces of government affair service affair information according to the operation characteristics of a user, wherein each piece of government affair service affair information comprises the release time of the government affair service affair;
generating a first recommendation list according to the government affair service affair information;
based on preset service shielding item information, government affair service item information which is the same as the preset service shielding item information in the first recommendation list is filtered out, and a second recommendation list is generated; and
updating the arrangement sequence of the government affair service affair information in the second recommendation list based on preset service recommendation affair information to generate a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation affair information are predetermined based on the release time of the government affair service affair.
2. The information recommendation method according to claim 1, wherein collecting a plurality of government service event information according to the operational characteristics of the user comprises:
acquiring first government affair service affair information according to historical operation characteristics of a user;
acquiring second government affair service affair information according to the real-time operation characteristics of the user; and
and obtaining a plurality of pieces of government affair service affair information according to the first government affair service affair information and the second government affair service affair information.
3. The information recommendation method of claim 1, further comprising:
displaying an interactive page for self-defining shielding item information and/or recommending item information;
acquiring a new operation input based on the interactive page; and
and responding to the new adding operation, and generating new preset service shielding item information and/or new preset service recommending item information.
4. The information recommendation method of claim 3, further comprising:
acquiring a deleting operation input based on the interactive page; and
and in response to the deletion operation, deleting the preset service shielding item information and/or the preset service recommendation item information for which the deletion operation is directed.
5. The information recommendation method according to claim 1, wherein updating an arrangement order of the government service event information in the second recommendation list based on preset service recommendation event information, and generating a target recommendation list comprises:
and setting the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, to generate the target recommendation list.
6. The information recommendation method according to claim 5, wherein the preset service recommendation information includes a plurality;
setting the government affair service item information in the second recommendation list, which is the same as the preset service recommendation item information, and generating the target recommendation list comprises:
determining a top arrangement sequence of the preset service recommendation item information according to the release time of the government affair service items of the preset service recommendation item information;
and according to the top arrangement sequence of the plurality of pieces of preset service recommendation information, top-setting the government affair service information in the second recommendation list, which is the same as the plurality of pieces of preset service recommendation information, and generating the target recommendation list.
7. An information recommendation apparatus comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a plurality of pieces of government affair service affair information according to the operation characteristics of a user, and each piece of government affair service affair information comprises the release time of the government affair service affair;
the generation module is used for generating a first recommendation list according to the government affair service event information;
the filtering module is used for filtering government affair service affair information which is the same as the preset service shielding affair information in the first recommendation list based on the preset service shielding affair information to generate a second recommendation list; and
and the sequencing module is used for updating the arrangement sequence of the government affair service affair information in the second recommendation list based on preset service recommendation affair information and generating a target recommendation list, wherein the preset service shielding affair information and the preset service recommendation affair information are predetermined based on the release time of the government affair service affair.
8. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.
9. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program which, when executed by a processor, implements a method according to any one of claims 1 to 6.
CN202111280019.2A 2021-10-29 2021-10-29 Information recommendation method, device, equipment, medium and program product Pending CN113946756A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111280019.2A CN113946756A (en) 2021-10-29 2021-10-29 Information recommendation method, device, equipment, medium and program product

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111280019.2A CN113946756A (en) 2021-10-29 2021-10-29 Information recommendation method, device, equipment, medium and program product

Publications (1)

Publication Number Publication Date
CN113946756A true CN113946756A (en) 2022-01-18

Family

ID=79337470

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111280019.2A Pending CN113946756A (en) 2021-10-29 2021-10-29 Information recommendation method, device, equipment, medium and program product

Country Status (1)

Country Link
CN (1) CN113946756A (en)

Similar Documents

Publication Publication Date Title
US10521446B2 (en) System and method for dynamically refactoring business data objects
US11915195B2 (en) Systems and methods for intelligent field matching and anomaly detection
US20190012316A1 (en) Presentations and reports built with big data analytics
US20190121669A1 (en) Executing tasks using modular and intelligent code and data containers
US20180089627A1 (en) System and method for advanced candidate screening
US10318546B2 (en) System and method for test data management
US20210383370A1 (en) Enhanced multi-party user data deletion
US20240012620A1 (en) Bot factory environment
US11442923B1 (en) Systems and methods for processing data service requests
CN114238058A (en) Monitoring method, apparatus, device, medium, and program product
US11295326B2 (en) Insights on a data platform
CN114238993A (en) Risk detection method, apparatus, device and medium
CN109978421B (en) Information output method and device
CN115965474A (en) Service processing method, device, equipment and storage medium
CN115718806A (en) System commissioning problem management method, apparatus, device, medium, and program product
CN115391655A (en) Information query method and device, electronic equipment and computer readable storage medium
CN113946756A (en) Information recommendation method, device, equipment, medium and program product
CN113723892A (en) Data processing method and device, electronic equipment and storage medium
CN114219601A (en) Information processing method, device, equipment and storage medium
CN110895777A (en) Method and device for processing overtime service list
US20140019193A1 (en) Issue Processing Systems and Methods
CN110659933B (en) Method and device for generating balance tailed recommendation content
US20210334843A1 (en) Automatically embedding digital data in a message and capturing analytics for the digital data
CN113627793A (en) Data processing method and device, electronic equipment and storage medium
CN115687284A (en) Information processing method, device, equipment and storage medium

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