CN118035547A - Information recommendation method and device, storage medium and electronic equipment - Google Patents

Information recommendation method and device, storage medium and electronic equipment Download PDF

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Publication number
CN118035547A
CN118035547A CN202410182065.6A CN202410182065A CN118035547A CN 118035547 A CN118035547 A CN 118035547A CN 202410182065 A CN202410182065 A CN 202410182065A CN 118035547 A CN118035547 A CN 118035547A
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information
preference
category
user
sub
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詹江鑫
闫晓波
邹靖贇
赫兴华
郑洪晗
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Ant Fortune Shanghai Financial Information Service Co ltd
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Ant Fortune Shanghai Financial Information Service Co ltd
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Priority to CN202410182065.6A priority Critical patent/CN118035547A/en
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    • 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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The specification discloses an information recommendation method, an information recommendation device, a storage medium and electronic equipment, wherein the method comprises the following steps: determining information preference category label information of a target user by adopting a preference category query mode, determining an information recommendation card based on the information preference category label information, generating a transaction service page containing the information recommendation card, responding to page browsing operation of the target user, determining a reference sub-class label set under the reference information category target label by adopting the preference category query mode, displaying the reference sub-class label set on the transaction service page, responding to sub-class label selection operation of the target user for the reference sub-class label set, determining a user preference sub-class label, recalling the preference information recommendation card based on the user preference sub-class label, and updating recommendation information of the transaction service page.

Description

Information recommendation method and device, storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an information recommendation method, an information recommendation device, a storage medium, and an electronic device.
Background
Currently, electronic devices may recommend various types of information to current users to improve the life experience of each user.
In practical application, the electronic device will display information to the user in the form of a card, that is, the information is displayed to the user in the form of an information card, in daily life, the information is changeable and complicated, and quite huge data information can be generated each day, and in such complicated and huge data information, a fixed system recommendation algorithm is often adopted to recommend information to the user in the form of information distribution.
Disclosure of Invention
The specification provides an information recommendation method, an information recommendation device, a storage medium and electronic equipment, wherein the technical scheme is as follows:
In a first aspect, the present specification provides an information recommendation method, the method including:
Determining information preference category label information of a target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
Responding to page browsing operation of the target user for a transaction service page, determining a reference subclass tag set under a reference information class target sign through the preference class query mode, and displaying the reference subclass tag set on the transaction service page;
Determining at least one user preference sub-class label in response to sub-class label selection operation of the target user for the reference sub-class label set;
and recalling at least one preference information recommendation card based on the user preference subclass tag, and updating recommendation information of the transaction service page based on the preference information recommendation card.
In a second aspect, the present specification provides an information recommendation apparatus, the apparatus comprising:
The page processing module is used for determining information preference category label information of the target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
The set processing module is used for responding to the page browsing operation of the target user for the transaction service page, determining a reference sub-class label set under the reference information type target sign through the preference category query mode, and displaying the reference sub-class label set on the transaction service page;
The tag processing module is used for responding to the sub-class tag selection operation of the target user for the reference sub-class tag set and determining at least one user preference sub-class tag;
And the information updating module is used for recalling at least one preference information recommendation card based on the user preference subclass tag, and updating recommendation information of the transaction service page based on the preference information recommendation card.
In a third aspect, the present description provides a computer storage medium storing at least one instruction adapted to be loaded by a processor and to perform the method steps of one or more embodiments of the present description.
In a fourth aspect, the present description provides a computer program product storing at least one instruction adapted to be loaded by a processor and to perform the method steps of one or more embodiments of the present description.
In a fifth aspect, the present description provides an electronic device, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of one or more embodiments of the present description.
The technical scheme provided by some embodiments of the present specification has the following beneficial effects:
in one or more embodiments of the present disclosure, a service platform determines information preference category tag information of a target user by using a preference category query mode, determines an information recommendation card based on the information preference category tag information, generates a transaction service page including the information recommendation card, determines a reference sub-class tag set under a reference information category target tag by using the preference category query mode in response to page browsing operation of the target user, displays the reference sub-class tag set on the transaction service page, determines a user preference sub-class tag by using the target user in response to sub-class tag selection operation of the reference sub-class tag set, recalls the preference information recommendation card based on the user preference sub-class tag to update recommendation information of the transaction service page, realizes a customized information recommendation service centered on the user, and can continuously track user intention to maintain user information preference by using the preference category query mode, realizes accurate information recommendation, greatly improves satisfaction of the user to the transaction service of the platform, reflects custom feeling and proprietary feeling of the lead-type platform, and simultaneously helps the transaction service to stably increase.
Drawings
In order to more clearly illustrate the technical solutions of the present specification or the prior art, the following description will briefly introduce the drawings that are required to be used in the embodiments or the prior art descriptions, it is obvious that the drawings in the following description are only some embodiments of the present specification, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of an information recommendation system provided in the present specification;
FIG. 2 is a schematic flow chart of an information recommendation method provided in the present specification;
FIG. 3 is a schematic illustration of a transaction service page process provided herein;
FIG. 4 is a flow chart of another information recommendation method provided in the present specification;
FIG. 5 is a schematic illustration of an interface for a first preference category query mode provided herein;
FIG. 6 is a schematic illustration of a processing scenario for a first preference category query mode provided herein;
FIG. 7 is a flowchart of another information recommendation method provided in the present specification;
FIG. 8 is a schematic illustration of a scenario in which the present specification provides a preference category query mode;
FIG. 9 is a flow chart of another embodiment of an information recommendation method provided in the present specification;
FIG. 10 is a schematic diagram of a scenario in which a preference category query mode feedback mechanism is employed;
fig. 11 is a schematic structural view of an information recommendation device provided in the present specification;
fig. 12 is a schematic structural diagram of an electronic device provided in the present specification.
Detailed Description
The following description of the embodiments of the present invention will be made apparent from, and elucidated with reference to, the drawings of the present specification, in which embodiments described are only some, but not all, embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
In the description of the present specification, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present specification, it should be noted that, unless expressly specified and limited otherwise, "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus. The specific meaning of the terms in this specification will be understood by those of ordinary skill in the art in the light of the specific circumstances. In addition, in the description of the present specification, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
In the related art, a service platform adopts a fixed system recommendation algorithm to recommend information to a user in an information distribution mode, which is commonly called a push mode mainly recommending and distributing by the system algorithm, and a function of throwing information is concentrated on the recommendation scoring capability of the system recommendation algorithm, and the information is ranked according to the scoring level of the system recommendation algorithm, so that the information is used as the basis of which recommendation information cards are distributed to the user. By adopting the mode, on one hand, the service platform lacks media for dialogue with the user, and the user individual preference demand habit cannot be obtained actively or passively; on the other hand, the service platform recommendation flow is single, and a link combining personal preference of a user and recommendation of a system algorithm is not achieved; on the other hand, the lack of a continuous follow-up feedback mechanism in the traditional financial service platform causes that the platform recommendation strategy cannot be timely adjusted according to the change of personal preference of the user, and based on the fact, in the information recommendation practice, a large amount of user feedback often slides a service page and does not find user interest information for a long time, so that the information recommendation method in the related technology has certain limitation.
The present specification is described in detail below with reference to specific examples.
Referring to fig. 1, a schematic view of a scenario of an information recommendation system provided in the present specification is provided. As shown in fig. 1, the information recommendation system may include at least a client cluster and a service platform 100.
The client cluster may include at least one client, as shown in fig. 1, specifically including a client 1 corresponding to a user 1, a client 2 corresponding to a user 2, …, and a client n corresponding to a user n, where n is an integer greater than 0.
Each client in the client cluster may be a communication-enabled electronic device including, but not limited to: wearable devices, handheld devices, personal computers, tablet computers, vehicle-mounted devices, smart phones, computing devices, or other processing devices connected to a wireless modem, etc. Electronic devices in different networks may be called different names, for example: a user equipment, an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent or user equipment, a cellular telephone, a cordless telephone, an electronic device in a Personal Digital Assistant (PDA), a 5G network, or a future evolution network, etc.
The service platform 100 may be a separate server device, such as: rack-mounted, blade, tower-type or cabinet-type server equipment or hardware equipment with stronger computing capacity such as workstations, mainframe computers and the like is adopted; the server cluster may also be a server cluster formed by a plurality of servers, and each server in the server cluster may be formed in a symmetrical manner, wherein each server is functionally equivalent and functionally equivalent in a transaction link, and each server may independently provide services to the outside, and the independent provision of services may be understood as no assistance of another server is needed.
In one or more embodiments of the present description, the service platform 100 may establish a communication connection with at least one client in the client cluster, and complete interaction of data in the information recommendation process based on the communication connection.
It should be noted that, the service platform 100 establishes a communication connection with at least one client in the client cluster through a network for interactive communication, where the network may be a wireless network, or may be a wired network, where the wireless network includes, but is not limited to, a cellular network, a wireless local area network, an infrared network, or a bluetooth network, and the wired network includes, but is not limited to, an ethernet network, a universal serial bus (universal serial bus, USB), or a controller area network. In one or more embodiments of the specification, techniques and/or formats including HyperText Mark-up Language (HTML), extensible markup Language (Extensible Markup Language, XML), and the like are used to represent data exchanged over a network (e.g., a target compression package). All or some of the links may also be encrypted using conventional encryption techniques such as secure sockets layer (Secure Socket Layer, SSL), transport layer security (Transport Layer Security, TLS), virtual private network (Virtual Private Network, VPN), internet protocol security (Internet Protocol Security, IPsec), etc. In other embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.
The embodiments of the information recommendation system provided in the present specification and the information recommendation methods in one or more embodiments belong to the same concept, and an execution subject corresponding to the information recommendation methods related in one or more embodiments in the present specification may be the service platform 100 described above; the execution subject corresponding to the information recommendation method in one or more embodiments of the present disclosure may also be an electronic device corresponding to a client, and specifically determined based on an actual application environment. The implementation process of the information recommendation system embodiment may be described in detail in the following method embodiments, which are not described herein.
Based on the schematic view of the scenario shown in fig. 1, the information recommendation method provided in one or more embodiments of the present disclosure is described in detail below.
Referring to fig. 2, a flow diagram of an information recommendation method, which may be implemented in a computer program and may be executed on a von neumann system-based information recommendation device, is provided for one or more embodiments of the present disclosure. The computer program may be integrated in the application or may run as a stand-alone tool class application. The information recommending device may be a service platform.
Specifically, the information recommendation method comprises the following steps:
S102: determining information preference category label information of a target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
the preference category query mode refers to a mode or mechanism for determining a preference category (which may be interest category or subclass under interest category) of a user through a human-computer interaction query mode, and can be understood as determining a browsing intention of the user through the human-computer interaction query mode to determine the preference category and recommending the preference category to a user related preference card.
The information preference category label information is one or more information preference categories determined by the pointer to the target user, and one or more sub-category labels can also be corresponding to the information category.
The interactive query related to the preference category query mode refers to the intention query interaction of the recommended user on the reference category item, and the interactive query mode includes but is not limited to clicking, reading, interacting and the like to determine the preference category (which can be interest categories, subclasses under interest categories) of the user, and the preference category query mode can be used for determining one or more information preference categories of the target user, so as to obtain the preference category label information.
The information recommendation card is a card container for carrying recommendation information, and the recommendation information is displayed to the user in the form of the information recommendation card.
In this specification, recommendation information in the information recommendation card includes, but is not limited to, types of information such as video, image, text, and voice.
The transaction service page is a functional page of transaction service provided by the service platform to the outside.
Optionally, the transaction services include, but are not limited to, financial transaction services, shopping transaction services, express transaction services, and the like;
Specifically, on one hand, the service platform firstly ranks the service supply information cards based on an information recommendation algorithm, initially determines ranked initial information cards, determines information preference category label information of a target user by adopting a preference category query mode, and then determines information recommendation cards for the target user by using the information preference category label information. And determining a transaction service page containing the information recommendation card, and displaying the transaction service page to the target user, wherein the service platform sends the transaction service page data to a user side used by the target user, and the user side displays the transaction service page based on the transaction service page data.
In a specific implementation scenario, as shown in fig. 3, fig. 3 is a schematic view of a transaction service page processing scenario, a user enters a transaction service application provided by a service platform to browse, a recommendation system of the service platform uses an information recommendation algorithm to score "service supply information cards" to obtain card recommendation scores, and performs overall recommendation ordering on the "service supply information cards" based on the card recommendation scores, and then recalls the "service supply information cards" (the service supply information cards contain transaction service information to recommend and refer to the user), wherein the "service supply information cards" are initial information cards preliminarily determined by the platform by adopting the information recommendation algorithm before; then carrying out algorithm coarse ranking pretreatment on the service supply information cards, namely calling an information recommendation algorithm to score and sort the information category labels through an algorithm, arranging the priority order of the information category labels among the information category labels, wherein the priority order of the information preference category labels is highest at the moment, and then distributing the initial information cards to the positions below the information category labels;
Further, the initial information cards under the information category labels are subjected to fine drainage pretreatment: inquiring preference category label information from a DB (database), filtering the rest of information recommendation cards which are interested in the initial information cards and are common system recommendation cards from the initial information cards according to user preference category labels in preference category labels selected by users, classifying the initial information cards into the information recommendation cards which are interested in the initial information cards and the common system recommendation cards at the moment, then, increasing the priority of the information recommendation cards under one or more information category labels so that the priority of the information recommendation cards under the information category labels is higher than that of the common system recommendation cards, arranging the common system recommendation cards behind the information recommendation cards according to card recommendation scores, and finally, assembling other information data of the full information cards after finishing the operation so as to finish updating a business service page, and returning the updated business service page to a user side used by a target user.
Further, if the preference type target label in the preference type label information does not contain the user preference sub-class label, the initial information cards under each information type label are ordered according to the card recommendation score, and finally other information data of the full information card are assembled to finish updating the transaction service page, and the updated transaction service page is returned to the user side used by the target user. In this case, typically, the user selects the information preference category label only through the preference category query mode and does not yet query for the selection of the user preference sub-category label, and the subsequent serviceable platform may make subsequent page updates and selections of the user preference information category based on the preference category query mode.
S104: responding to page browsing operation of the target user for a transaction service page, determining a reference subclass tag set under a reference information class target sign through the preference class query mode, and displaying the reference subclass tag set on the transaction service page;
the page browsing operation is an operation of browsing page information, which is made after a target user performs a business service page through a user terminal, the user terminal generates the page browsing operation and sends the page browsing operation to a service platform, and the service platform can receive the page browsing operation;
The preference category query mode may also be referred to as KYC (Know Your Compensation) mode, and the preference category query mode may be understood as a time for determining a preference category (may be an interest category, a sub-category under an interest category) of the user by a man-machine interaction query mode according to a user query time, for example, may be referred to as a first preference category query mode, a second preference category query mode, and a third preference category query mode. It is readily understood that the first preference category query mode may be referred to simply as a pre-KYC mode, the second preference category query mode may be referred to simply as an in-matter KYC mode, and the third preference category query mode may be referred to simply as a post-KYC mode. Each KYC mode appears at different occasions, complement each other and perfect the KYC interest preference tag selection of the user.
The method is characterized in that a preference category query mode is used for monitoring page browsing operation of a target user on a transaction service page, a reference sub-class label set under a reference information category target label of the interactive query user can be determined through the preference category query mode in the page browsing process, a service platform displays and displays the reference sub-class label set under the reference information category target label on the transaction service page of a user side, so that the user can click the pushed reference sub-class label to continuously update or maintain personal interest preference labels (also called user preference sub-class information labels) or information preference category labels of the user in the page browsing process, customized information recommendation service centered on the user is realized, and the user intention can be continuously tracked by using the preference category query mode to maintain user information preferences, so that accurate information recommendation is realized. Each user has own exclusive counter type leading service, so that satisfaction degree of the user to business service of the platform is greatly improved, custom feeling and exclusive feeling of the leading platform are reflected, and meanwhile, the assistance business service is stably increased.
The information category label is a root information category divided according to information characteristics, one or more sub-information categories are corresponding to the information category label, and the sub-information categories can be called as information sub-category labels;
Information subclass tag: the attribute under a specific information category label (which can be called as a KYC major class label) corresponding to each recommended information card (such as a service information card), wherein a plurality of information category labels (which can be called as KYC sub class labels) belong to higher information category labels (which can be called as KYC parent class labels) at the same time;
The reference information category label (which may be referred to as kyc general category label) is an information category label determined using a preference category query mode in which the reference information category label is not directly presented, but rather a reference sub-category label set under the reference information category target label is presented, the reference sub-category label set including one or more reference sub-category labels. The reference information category label may be determined according to a category label determination rule of a preset preference category query mode, and the category label determination rule is not limited herein.
S106: determining at least one user preference sub-class label in response to sub-class label selection operation of the target user for the reference sub-class label set;
The sub-class label selection operation refers to a selection operation made by a target user from a reference sub-class label set aiming at a user preference sub-class label;
the user preference sub-class label refers to an interest information sub-class label of the target user determined based on the sub-class label selection operation.
The preference sub-category label information comprises one or more user preference sub-category labels;
the information preference category label information comprises one or more information preference category labels;
Illustratively, a target user browses a transaction service page through a user terminal, the transaction service page displays a reference sub-class label set, the target user inputs sub-class label selection operation aiming at a user preference sub-class label on the user terminal, the user terminal sends the sub-class label selection operation to a service platform, and the service platform responds to the sub-class label selection operation aiming at the reference sub-class label set by the target user at the moment, determines at least one user preference sub-class label;
Alternatively, the user preference subclass tag information may be updated based on the user preference subclass tag, and the information preference category tag to which the user preference subclass tag belongs may be determined and updated into the information preference category tag information.
S108: and recalling at least one preference information recommendation card based on the user preference subclass tag, and updating recommendation information of the transaction service page based on the preference information recommendation card.
In a specific implementation scenario, when a target user browses a user transaction page in daily, a business center kyc mode or a post kyc mode in a preference category query mode is triggered, sorting information category labels (information category labels and information sub-category labels under the information category labels) are scored through an algorithm system of a service platform, kyc sub-category labels under kyc large-category labels which are not selected by the target user are determined, the target user is presented through a business center kyc mode or a post kyc mode in the preference category query mode, meanwhile, the target user determines user preference sub-category labels immediately after inputting sub-category label selection operation, recalls preference information recommendation cards corresponding to the user preference sub-category labels, and adjusts the display sequence of the information recommendation cards in the transaction service page based on the preference information recommendation cards, so that recommendation information updating is completed.
In one or more embodiments of the present disclosure, a service platform determines information preference category tag information of a target user by using a preference category query mode, determines an information recommendation card based on the information preference category tag information, generates a transaction service page including the information recommendation card, determines a reference sub-class tag set under a reference information category target tag by using the preference category query mode in response to page browsing operation of the target user, displays the reference sub-class tag set on the transaction service page, determines a user preference sub-class tag by using the target user in response to sub-class tag selection operation of the reference sub-class tag set, recalls the preference information recommendation card based on the user preference sub-class tag to update recommendation information of the transaction service page, realizes a customized information recommendation service centered on the user, and can continuously track user intention to maintain user information preference by using the preference category query mode, realizes accurate information recommendation, greatly improves satisfaction of the user to the transaction service of the platform, reflects custom feeling and proprietary feeling of the lead-type platform, and simultaneously helps the transaction service to stably increase.
Referring to fig. 4, fig. 4 is a flow chart illustrating another embodiment of an information recommendation method according to one or more embodiments of the present disclosure. Specific:
s202: responding to the initial opening operation of a target user on a transaction service page, starting a first preference category query mode aiming at the target user, and determining a preference category query area on the transaction service page through the first preference category query mode;
According to some embodiments, the first preference category query mode may be simply referred to as a pre-KYC mode, and the pre-KYC mode, when the user first enters a transaction service page, displays a recommendation reference information category label in a preference category query area in the transaction service page, and the reference information category label is a KYC category label form (which the user may check);
Illustratively, a preference category query area can be set for the transaction service page when the first preference category query mode is configured, and the preference category query area is used for determining a preference category-KYC major class of a user in a man-machine interaction query mode;
S204: displaying at least one reference information category label in the preference category query area, and determining information preference category label information of the target user in response to a category label selection operation of the target user for the reference information category label.
By way of example, as shown in fig. 5, fig. 5 is an interface schematic diagram of a preference category query mode, as shown in fig. 5, taking a transaction service page as an example of a financial transaction service page, a user first enters the financial transaction service page to initiate a first preference category query mode (a priori KYC mode) for the target user, the first preference category query mode associates a preference category query area with the transaction service page, the preference category query area performs a preference category interactive query with the target user, the preference category query area may display a KYC major category tag (i.e., a reference information category tag) selectable by the user, as shown in fig. 5, the preference category query area displays "pick financial good," "read market quotation," "customize configuration scheme," "self-holding bin suggestion," "pick wonderful welfare," "pick popular content," and so on.
The target user can select one or more information preference category labels from the provided reference information category labels, the one or more information preference category labels form information of the information preference category labels, and then when the target user browses a transaction service page of the service platform by using the user side, only the floors of the large category labels which are interested in kyc and selected by the user are shown.
S206: determining at least one information recommendation card for the target user based on the information preference category label information;
Exemplary, as shown in fig. 6, which is a schematic view of a processing scenario of a first preference category query mode, a user enters a transaction service page for the first time to initiate the first preference category query mode for the target user, provides a user selection reference information category tag, and then when the user browses the transaction service page, the user selects kyc category tag options in the previous kyc mode, and determines information preference category tag information including one or more kyc category tag options; at this time, the service platform may save the record information preference category tag information (such as the user kyc general category tag preference information shown in fig. 6), and determine at least one information recommendation card for the target user based on the information preference category tag information;
The recommendation system of the service platform uses an information recommendation algorithm to score the service supply information cards to obtain card recommendation scores, performs overall recommendation ranking on the service supply information cards based on the card recommendation scores, and recalls the service supply information cards (the service supply information cards contain transaction service information for recommending and consulting to a user), wherein the service supply information cards are initial information cards preliminarily determined by the platform by adopting the information recommendation algorithm; then carrying out algorithm coarse ranking pretreatment on the service supply information cards, namely calling an information recommendation algorithm to score and sort the information category labels through an algorithm, arranging the priority order of the information category labels among the information category labels, wherein the priority order of the information preference category labels is highest at the moment, and then distributing the initial information cards to the positions below the information category labels;
Further, the initial information cards under the information category labels are subjected to fine drainage pretreatment: inquiring preference category label information from a DB (database), and filtering information recommendation cards interested in the initial information card from the initial information card according to user preference category labels in preference category labels selected by a user, wherein the rest of the information recommendation cards are recommendation cards of a common system;
S208: loading an information preference category area and an information recommendation card area on the transaction service page, displaying information preference category labels in information preference category label information in the information preference category area, and displaying the information recommendation card in the information recommendation card area;
Illustratively, at this time, the initial information card is classified into an interested information recommendation card and a common system recommendation card based on the information preference category label information, and the transaction service page can configure an information preference category area and an information recommendation card area; displaying one or more information preference category labels in the information preference category label information in the information preference category area, and displaying an information recommendation card in the information recommendation card area;
Alternatively, the information recommendation card area may set the information recommendation cards corresponding to the information preference category labels to be displayed in a column, and the initial information cards are allocated to the sub-card areas corresponding to the respective information category labels in the information recommendation card area.
Optionally, the priority of the information recommendation card under one or more information category labels is increased, so that the priority of the information recommendation card under the information category labels is higher than that of the information recommendation card of the common system, the information recommendation card is arranged behind the information recommendation card according to the card recommendation score, after the operation is finished, other information data of the full information card are assembled finally to finish updating the transaction service page, and the updated transaction service page is returned to the user side used by the target user.
S210: determining a modified information preference category label in response to a category label modification operation of the target user for the information preference category label in the information preference category region, and updating the information preference category label information based on the modified information preference category label;
Specifically, as shown in fig. 6, when the target user enters the page for browsing, the information preference category label (which may be referred to as kyc general label floors) to be displayed can be modified according to the preference of the target user, specifically, the modification information preference category label is determined in response to the category label modification operation of the target user for the information preference category label in the information preference category area, and the information preference category label information is updated based on the modification information preference category label.
Illustratively, while the user is in daily browsing pages, if the information preference category Tab (kyc large category interest preference Tab) first selected at that time is not satisfactory, and wants to modify (add or delete) kyc Tab, the Tab list option can be sorted by selecting kyc, and the personal interest preference Tab can be re-checked kyc by modifying kyc the sorted Tab list. That is, the target user triggers a category label modification operation for the information preference category label aiming at the information preference category list option in the information preference category area, determines a modified information preference category label, and updates the information preference category label information based on the modified information preference category label.
S212: responding to target card operation of the target user on a reference information recommendation card in the transaction service page, determining a reference information sub-class label corresponding to the reference information recommendation card, determining that the reference information sub-class label is of a non-user preference type, and deleting the reference information sub-class label in the information preference class label information based on the non-user preference type;
The reference information recommendation card can be understood as an information recommendation card which is not interested by the target user;
The target card operation can be understood as uninteresting operation of a target user on the reference information recommendation card, at this time, the service platform can determine the reference information sub-class label corresponding to the reference information recommendation card, determine that the reference information sub-class label is of a non-user preference type, and delete the reference information sub-class label in the information preference class label information based on the non-user preference type;
In one or more embodiments of the present disclosure, a service platform determines information preference category tag information corresponding to a first opening operation of a target user by using a preference category query mode, determines an information recommendation card based on the information preference category tag information to generate a transaction service page, determines a reference sub-category tag set under a reference information category target tag by using the preference category query mode after a target user inputs a page browsing operation, displays the reference sub-category tag set on the transaction service page, determines a user preference sub-category tag in response to a sub-category tag selection operation of the target user for the reference sub-category tag set, recalls the preference information recommendation card based on the user preference sub-category tag to update recommendation information on the transaction service page, and guides the target user to implement a customized information recommendation service centered on the user by using the preference category tag modification operation, the target card operation, and the like. Each user has own exclusive counter type leading service, so that satisfaction degree of the user to business service of the platform is greatly improved, custom feeling and exclusive feeling of the leading platform are reflected, and meanwhile, the assistance business service is stably increased.
Referring to fig. 7, fig. 7 is a flow chart illustrating another embodiment of an information recommendation method according to one or more embodiments of the present disclosure. Specific:
S302: displaying a business service page containing the information recommendation card;
reference may be made specifically to the method steps of other embodiments of the present disclosure, and details are not repeated here.
S304: starting a second preference category query mode aiming at the target user, determining a first sub-class label set under a first information category target sign, and displaying the first sub-class label set on the transaction service page, wherein the first information category label is different from the information preference category label in the information preference category region;
According to some embodiments, the second preference category query mode may be simply referred to as a in-transaction KYC mode, wherein the in-transaction KYC mode is used for displaying a first sub-category tag set under a first information category target tag in a transaction service page when a user does not browse the transaction service page for the first time, and the first information category tag is different from the information preference category tag in the information preference category area; it may be understood that the second preference category query mode may be presented in the form of a KYC subclass target signature form by presenting a first subclass signature set that does not fall under the user preference (non-click selected) KYC broad category (i.e., information preference category signature);
The in-the-question kcy mode only shows kyc sub-category labels under the non-selected kyc large-category label, the in-the-question kcy mode helps recommend more potentially interesting kyc sub-category labels (i.e., first sub-category labels) to the user, once the user has hooked kyc sub-category labels under the non-preferred kyc large-category label for the first sub-category label set, the hooked kyc sub-category labels under the non-preferred kyc large-category label are now the user preference sub-category labels,
Updating user preference subclass tag information based on the user preference subclass tag, and updating information preference class tag information based on the information class tag corresponding to the user preference subclass tag, wherein the fact that the kyc subclass tag and the kyc large class tag to which the kyc subclass tag belong are stored and recorded by a platform can be understood, and a follow-up expandable transaction service page is immediately presented to an information card associated with the kyc subclass tag;
S306: and starting a third preference category query mode aiming at the target user, determining a second sub-class label set of information preference category target labels, and displaying the second sub-class label set on the transaction service page, wherein the second sub-class label set comprises at least one information preference sub-class label which is not selected by the target user.
According to some embodiments, the third preference category query mode may be simply referred to as a post KYC mode, wherein the post KYC mode displays a second sub-category tag set under the information preference category target tab in a transaction service page when the user is not browsing the transaction service page for the first time; it can be understood that the prior KYC mode user only selects the information preference category label, and the query of the sub-category label under the information preference category target label is not performed in detail for efficient and convenient information recommendation.
The third preference category query mode may be presented in the form of a KYC subclass target tab form by presenting a second subclass tab set belonging to the user's preferred (non-click selected) KYC class (i.e., information preference category tab); the third preference category query mode is to assist the user in determining kyc sub-category tab sets under the known preferences kyc major category tab, ensuring that each platform recall recommendation card contains preferentially user preferences and kyc sub-category tab attributes for the cardiometer.
As shown in fig. 8, fig. 8 is a schematic view of a scenario of a preference category query mode provided in the present specification, where a target user does not browse a transaction service page for the first time, and one way may be to show a first sub-category tag set under a first information category target tag in the transaction service page, where the first information category tag is different from an information preference category tag in an information preference category area; it may be understood that the second preference category query mode may be one way to present the second set of sub-category tags under the information preference category target tab in the transaction service page by presenting the first set of sub-category tags not under the user preference (non-click-selected) KYC category (i.e., information preference category tags);
The target user selects one or more target KYC sub-class label options from the first/second sub-class label set recommended by kcy mode in the event, the target KYC sub-class label options are used as user preference sub-class labels at the moment, the service platform stores or modifies and records user preference sub-class label information, and can also modify information preference category label information.
S308: and responding to sub-class label selection operation of the target user for the reference sub-class label set, determining at least one user preference sub-class label, recalling at least one preference information recommendation card based on the user preference sub-class label, and updating recommendation information of the transaction service page based on the preference information recommendation card.
Updating user preference subclass tag information and information preference class tag information based on the user preference subclass tag, wherein the reference subclass tag set comprises at least one of a first subclass tag set and a second subclass tag set;
In a specific implementation scenario, when a target user browses a user transaction page in daily, triggering a business kyc mode or a post kyc mode in a preference category query mode, marking and sorting information category labels (information category labels and information subclass labels under the information category labels) through an algorithm system of a service platform, deciding kyc subclass labels under kyc large class labels which are not selected by the target user, immediately determining user preference subclass labels after the target user inputs subclass label selection operation, updating preference subclass label information, recalling service information cards of the transaction service page, and determining whether the service information cards are provided with preference subclass labels or not based on the preference subclass label information, namely screening out user preference information cards and non-user preference information cards;
Before arranging and configuring the user preference information cards to the non-user preference information cards in the transaction service page, carrying out top-setting processing on the personal preference cards corresponding to the user preference sub-class labels to improve the priority, specifically, the user preference information cards can be a plurality of sub-class preference labels corresponding to each user preference information card, arranging the user preference information cards according to the preference label recording date of the sub-class preference label corresponding to the user preference information card to obtain a user preference information card sequence, and carrying out card top-setting processing on the user preference information card sequence to improve the priority (first sorting processing); meanwhile, aiming at the non-user preference information cards, an original information recommendation algorithm is adopted to determine information recommendation scores of the non-user preference information cards, a plurality of non-user preference information cards are sequenced according to the information recommendation scores to obtain a non-user preference information card sequence (second sequencing processing), and after the non-user preference information card sequence is arranged to the user preference information card sequence, a page updating process of the transaction service page after user input sub-class label selection operation is completed.
In a possible embodiment, after executing the determining the at least one user preference sub-category label, the service platform may execute the following manner:
a2: the service platform writes the user preference subclass tag into preference subclass tag information;
A4: the service platform determines a target information category label corresponding to the user preference sub-category label, and if the target information category label does not exist in the information preference category label information, the target information category label is written into the information preference category label information.
The above procedure completes the procedure of the preference subclass tag information and the information preference class tag information based on the user preference subclass tag.
S310: and in response to page refreshing operation of the target user for the transaction service page, recalling service information cards in the transaction service page, determining user preference information cards and non-user preference information cards based on preference subclass tag information, arranging and configuring the user preference information cards to be before the non-user preference information cards in the transaction service page, performing first sorting processing on the user preference information cards in the transaction service page based on preference tag record dates, and performing second sorting processing on the non-user preference information cards in the transaction service page based on information recommendation scores.
The second preference category query mode and the third preference category query mode both support page refresh logic, and the target user is dissatisfied with service information cards recommended by the transaction service page after browsing the transaction service page. The target user can input a page refreshing operation for a transaction service page at a user end and send the page refreshing operation to a service platform, as shown in fig. 8, the service platform recalls service information cards in the transaction service page in response to the page refreshing operation of the target user for the transaction service page, determines user preference information cards and non-user preference information cards based on preference subclass tag information, arranges and configures the user preference information cards to be before the non-user preference information cards in the transaction service page, and performs first sorting processing on the user preference information cards in the transaction service page based on preference tag record date and second sorting processing on the non-user preference information cards in the transaction service page based on information recommendation score.
Specifically, after the page refreshing operation, the service platform recalls the service information card of the business service page, and inquires the preference subclass tag information to determine whether the service information card is provided with the preference subclass tag, namely screening out the user preference information card and the non-user preference information card in the page;
Before arranging and configuring the user preference information cards to the non-user preference information cards in the transaction service page, carrying out top-setting processing on the personal preference cards corresponding to the user preference sub-class labels to improve the priority, specifically, the user preference information cards can be a plurality of sub-class preference labels corresponding to each user preference information card, arranging the user preference information cards according to the preference label recording date of the sub-class preference label corresponding to the user preference information card to obtain a user preference information card sequence, and carrying out card top-setting processing on the user preference information card sequence to improve the priority (first sorting processing); meanwhile, aiming at the non-user preference information cards, an original information recommendation algorithm is adopted to determine information recommendation scores of the non-user preference information cards, a plurality of non-user preference information cards are sequenced according to the information recommendation scores to obtain a non-user preference information card sequence (second sequencing processing), and after the non-user preference information card sequence is arranged to the user preference information card sequence, a page updating process of the transaction service page after the user input page refreshing operation is completed.
In one or more embodiments of the present disclosure, a service platform determines information preference category tag information corresponding to a first opening operation of a target user by using a first preference category query mode, determines an information recommendation card based on the information preference category tag information to generate a transaction service page, determines a reference sub-category tag set under a reference information category target tag through a second or third preference category query mode after the target user inputs a page browsing operation, displays the reference sub-category tag set on the transaction service page, determines a user preference sub-category tag in response to a sub-category tag selection operation of the target user for the reference sub-category tag set, recalls the preference information recommendation card based on the user preference sub-category tag to recommend information update the transaction service page, and can implement a customized information recommendation service centered on the user. Each user has own exclusive counter type leading service, so that satisfaction degree of the user to business service of the platform is greatly improved, custom feeling and exclusive feeling of the leading platform are reflected, and meanwhile, the assistance business service is stably increased.
Referring to fig. 9, fig. 9 is a flow chart illustrating another embodiment of an information recommendation method according to one or more embodiments of the present disclosure. Specific:
S402: determining at least one user preference sub-class label in response to sub-class label selection operation of the target user for the reference sub-class label set;
Optionally, in response to a target card operation of the target user on the reference information recommendation card in the transaction service page, determining a reference information sub-class label corresponding to the reference information recommendation card, determining that the reference information sub-class label is of a non-user preference type, and setting a preference sub-class label state to be a preference sub-class label failure state when the reference information sub-class label is of a preference sub-class label;
s404: and configuring a preference tag validity period for the user preference sub-category tag, and managing the preference sub-category tag based on the preference tag validity period.
In the specification, after determining the user preference sub-class label according to the sub-class label selection operation of the target user, configuring a preference label validity period for the user preference sub-class label, and then managing the preference sub-class label based on the preference label validity period;
Information sub-class tags within the preferred tag validity period may be considered to be preferred sub-class tag valid states, and kyc sub-class tags outside the preferred tag validity period may be considered to be preferred sub-class tag invalid states.
Alternatively, to accommodate changes in preference kyc subclass tags that users may produce over time, the kyc subclass tags may configure a continuous positive/negative feedback mechanism, as shown in FIG. 10, FIG. 10 is a schematic diagram of a scenario of a preference category query mode feedback mechanism. By way of example, the following may be employed:
b2: based on the state of the preference subclass label corresponding to the detected user preference subclass label;
the preference subclass tag states include a preference subclass tag valid state and a preference subclass tag invalid state;
as shown in fig. 10, the validity period of the preference tag is schematically shown as a fresh-keeping period in fig. 10, and further verification is performed assuming that the validity period of the preference tag is x days; the preferred sub-class label state is the preferred sub-class label valid state within the preservation period of x days, and the preferred sub-class label state is the preferred sub-class label invalid state after the preservation period of x days;
B4: if the preference subclass tag state is the preference subclass tag valid state, performing priority information recommendation processing on preference information recommendation cards corresponding to the user preference subclass tags, starting a preference category query mode aiming at the target user, recommending a recommendation preference subclass tag set associated with the user preference subclass tag to the target user, taking the recommendation preference subclass tag set as the reference subclass tag set, and executing the step of displaying the reference subclass tag set on the transaction service page;
Positive feedback mechanism: the user clicks select kyc the sub-category label as a preference-like label followed by a preference label expiration date (freshness date in fig. 10) of x days. And in the fresh-keeping period, carrying out priority information recommendation processing on preference information recommendation cards corresponding to the user preference sub-class labels, for example, carrying out strong top processing on kyc sub-class label cards selected by the user, and simultaneously recommending a recommendation preference sub-class label set associated with the user preference sub-class labels (kyc sub-class labels) to provide more choices for the user. Namely, the step of taking the recommended preference subclass tag set as the reference subclass tag set and displaying the reference subclass tag set on the transaction service page is executed;
Further, after the validity period of the preference tag, the preference category query mode can be used as a kyc sub-category tag in the reference sub-category tag set, if the user clicks the kyc sub-category tag information card, the user can be considered to be interested in the kyc sub-category tag, and the kyc information card under the kyc sub-category tag can be kept for top-setting processing;
B6: if the preference sub-class label state is the preference sub-class label failure state, monitoring the information card operation frequency of the target user on the preference information recommendation card corresponding to the user preference sub-class label in a preset period, and carrying out preference sub-class label state delay management on the user preference sub-class label based on the information card operation frequency.
Negative feedback mechanism: when the user selects the preferred kyc sub-class label and the preservation period passes, the preferred sub-class label state is the preferred sub-class label invalid state, if the operation frequency of the information card of the kyc sub-class label information card under the preferred kyc sub-class label displayed by the service platform is always less, the service platform determines that the user is not interested in the kyc sub-class label, the kyc classification label is set to the conventional sub-class label state again, and meanwhile, the kyc sub-class label can appear in a user browsing page for the user to reselect. In addition, when browsing the page, the user can actively press the information card displayed at present for a long time and click the ejected uninteresting button, so that the user is ensured not to receive the information card with the kyc subclass tag attribute later.
Optionally, the performing, based on the information card operation frequency, preference subclass tag status deferred management on the user preference subclass tag may be performed by the following manner:
1. If the operation frequency of the information card is larger than an operation frequency threshold, carrying out preference subclass tag state delay processing on the user preference subclass tag;
the operation frequency threshold value is a threshold value for the operation frequency of the information card;
2. If the operation frequency of the information card is smaller than or equal to an operation frequency threshold value, setting a preference sub-class label state of the user preference sub-class label to be a normal sub-class label state, and adding a normal sub-class label which is the normal sub-class label state into the reference sub-class label set.
If the information card operation frequency of the kyc sub-class tag information card is less under the preference kyc sub-class tag displayed by the service platform all the time, the service platform determines that the user is not interested in the kyc sub-class tag, resets the kyc classification tag to a common state, adds a conventional sub-class tag in the conventional sub-class tag state into the reference sub-class tag set, and when the kyc sub-class tag can appear in a user browsing page for the user to reselect.
In one or more embodiments of the present disclosure, a service platform determines information preference category tag information corresponding to a first opening operation of a target user by using a first preference category query mode, determines an information recommendation card based on the information preference category tag information to generate a transaction service page, determines a reference sub-category tag set under a reference information category target tag through a second or third preference category query mode after the target user inputs a page browsing operation, displays the reference sub-category tag set on the transaction service page, determines a user preference sub-category tag in response to a sub-category tag selection operation of the target user for the reference sub-category tag set, recalls the preference information recommendation card based on the user preference sub-category tag to recommend information update the transaction service page, and can implement a customized information recommendation service centered on the user. Each user has own exclusive counter type leading service, so that satisfaction degree of the user to business service of the platform is greatly improved, custom feeling and exclusive feeling of the leading platform are reflected, and meanwhile, the assistance business service is stably increased.
The information recommendation apparatus provided in the present specification will be described in detail with reference to fig. 11. The information recommendation device shown in fig. 11 is used to execute the method of the embodiment shown in fig. 1 to 10 of the present specification, and for convenience of explanation, only the portion relevant to the present specification is shown, and specific technical details are not disclosed, please refer to the embodiment shown in fig. 1 to 10 of the present specification.
Referring to fig. 11, a schematic structural diagram of an information recommendation device of the present specification is shown. The information recommendation device 1 may be implemented as all or part of a device by software, hardware or a combination of both. According to some embodiments, the information recommendation device 1 includes a page processing module 11, a collection processing module 12, a tag processing module 13, and an information updating module 14, specifically configured to:
The page processing module 11 is used for determining information preference category label information of the target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
the set processing module 12 is configured to determine, in response to a page browsing operation of the target user on a transaction service page, a reference sub-class tag set under a reference information class target tag according to the preference class query mode, and display the reference sub-class tag set on the transaction service page;
A tag processing module 13, configured to determine at least one user preference sub-class tag in response to a sub-class tag selection operation of the target user for the reference sub-class tag set;
And the information updating module 14 is used for recalling at least one preference information recommendation card based on the user preference subclass label information, and updating recommendation information of the transaction service page based on the preference information recommendation card.
Optionally, the page processing module 11 is configured to:
Responding to the initial opening operation of a target user on a transaction service page, starting a first preference category query mode aiming at the target user, and determining a preference category query area on the transaction service page through the first preference category query mode;
Displaying at least one reference information category label in the preference category query area, and determining information preference category label information of the target user in response to a category label selection operation of the target user for the reference information category label.
Optionally, the page processing module 11 is configured to: loading an information preference category area and an information recommendation card area on the transaction service page, displaying information preference category labels in information preference category label information in the information preference category area, and displaying the information recommendation card in the information recommendation card area;
After the transaction service page containing the information recommendation card is displayed, the method further comprises the following steps:
And in response to a category label modification operation of the target user for the information preference category label in the information preference category region, determining a modified information preference category label, and updating the information preference category label information based on the modified information preference category label.
Optionally, the set processing module 12 is configured to:
Starting a second preference category query mode aiming at the target user, determining a first sub-class label set under a first information category target sign, and displaying the first sub-class label set on the transaction service page, wherein the first information category label is different from the information preference category label in the information preference category region; and/or
And starting a third preference category query mode aiming at the target user, determining a second sub-class label set of information preference category target labels, and displaying the second sub-class label set on the transaction service page, wherein the second sub-class label set comprises at least one information preference sub-class label which is not selected by the target user.
Optionally, the set processing module 12 is configured to:
Writing the user preference subclass label into preference subclass label information;
And determining a target information category label corresponding to the user preference subclass label, and if the information preference category label information does not exist the target information category label, writing the target information category label into the information preference category label information.
Optionally, the set processing module 12 is configured to:
Responding to target card operation of the target user on a reference information recommendation card in the transaction service page, determining a reference information sub-class label corresponding to the reference information recommendation card, determining that the reference information sub-class label is of a non-user preference type, and deleting the reference information sub-class label in the information preference class label information based on the non-user preference type; and/or the number of the groups of groups,
And in response to page refreshing operation of the target user for the transaction service page, recalling service information cards in the transaction service page, determining user preference information cards and non-user preference information cards based on preference subclass tag information, arranging and configuring the user preference information cards to be before the non-user preference information cards in the transaction service page, performing first sorting processing on the user preference information cards in the transaction service page based on preference tag record dates, and performing second sorting processing on the non-user preference information cards in the transaction service page based on information recommendation scores.
Optionally, the tag processing module 13 is configured to:
And configuring a preference tag validity period for the user preference sub-category tag, and managing the preference sub-category tag based on the preference tag validity period.
Optionally, the tag processing module 13 is configured to:
Detecting a preference subclass tag state corresponding to the user preference subclass tag based on the preference tag validity period;
If the preference subclass tag state is the preference subclass tag valid state, performing priority information recommendation processing on preference information recommendation cards corresponding to the user preference subclass tags, starting a preference category query mode aiming at the target user, recommending a recommendation preference subclass tag set associated with the user preference subclass tag to the target user, taking the recommendation preference subclass tag set as the reference subclass tag set, and executing the step of displaying the reference subclass tag set on the transaction service page;
If the preference sub-class label state is the preference sub-class label failure state, monitoring the information card operation frequency of the target user on the preference information recommendation card corresponding to the user preference sub-class label in a preset period, and carrying out preference sub-class label state delay management on the user preference sub-class label based on the information card operation frequency.
Optionally, the tag processing module 13 is configured to:
If the operation frequency of the information card is larger than an operation frequency threshold, carrying out preference subclass tag state delay processing on the user preference subclass tag;
If the operation frequency of the information card is smaller than or equal to an operation frequency threshold value, setting a preference sub-class label state of the user preference sub-class label to be a normal sub-class label state, and adding a normal sub-class label which is the normal sub-class label state into the reference sub-class label set.
It should be noted that, when the information recommending apparatus provided in the foregoing embodiment performs the information recommending method, only the division of the foregoing functional modules is used as an example, and in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the information recommending apparatus provided in the above embodiment and the information recommending method embodiment belong to the same concept, which embody the detailed implementation process in the method embodiment, and are not described herein again.
The foregoing description is provided for the purpose of illustration only and does not represent the advantages or disadvantages of the embodiments.
In one or more embodiments of the present disclosure, a service platform determines information preference category tag information of a target user by using a preference category query mode, determines an information recommendation card based on the information preference category tag information, generates a transaction service page including the information recommendation card, determines a reference sub-class tag set under a reference information category target tag by using the preference category query mode in response to page browsing operation of the target user, displays the reference sub-class tag set on the transaction service page, determines a user preference sub-class tag by using the target user in response to sub-class tag selection operation of the reference sub-class tag set, recalls the preference information recommendation card based on the user preference sub-class tag to update recommendation information of the transaction service page, realizes a customized information recommendation service centered on the user, and can continuously track user intention to maintain user information preference by using the preference category query mode, realizes accurate information recommendation, greatly improves satisfaction of the user to the transaction service of the platform, reflects custom feeling and proprietary feeling of the lead-type platform, and simultaneously helps the transaction service to stably increase.
The present disclosure further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are adapted to be loaded by a processor and execute the information recommendation method according to the embodiment shown in fig. 1 to 10, and the specific execution process may refer to the specific description of the embodiment shown in fig. 1 to 10, which is not repeated herein.
The present disclosure further provides a computer program product, where at least one instruction is stored, where the at least one instruction is loaded by the processor and executed by the processor to perform the information recommendation method according to the embodiment shown in fig. 1 to 10, and the specific execution process may refer to the specific description of the embodiment shown in fig. 1 to 10, which is not repeated herein.
Referring to fig. 12, a block diagram of an electronic device according to an embodiment of the present disclosure is provided. The electronic device in this specification may include one or more of the following: processor 110, memory 120, input device 130, output device 140, and bus 150. The processor 110, the memory 120, the input device 130, and the output device 140 may be connected by a bus 150.
Processor 110 may include one or more processing cores. The processor 110 connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal 100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and invoking data stored in the memory 120. Alternatively, the processor 110 may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-programmable gate array (FPGA), programmable logic array (programmable logic Array, PLA). The processor 110 may integrate one or a combination of several of a central processor (central processing unit, CPU), an image processor (graphics processing unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 110 and may be implemented solely by a single communication chip.
The memory 120 may include a random access memory (random Access Memory, RAM) or a read-only memory (ROM). Optionally, the memory 120 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 120 may be used to store instructions, programs, code, sets of codes, or sets of instructions.
The input device 130 is configured to receive input instructions or data, and the input device 130 includes, but is not limited to, a keyboard, a mouse, a camera, a microphone, or a touch device. The output device 140 is used to output instructions or data, and the output device 140 includes, but is not limited to, a display device, a speaker, and the like. In the embodiment of the present disclosure, the input device 130 may be a temperature sensor for acquiring an operation temperature of the terminal. The output device 140 may be a speaker for outputting audio signals.
In addition, those skilled in the art will appreciate that the configuration of the terminal illustrated in the above-described figures does not constitute a limitation of the terminal, and the terminal may include more or less components than illustrated, or may combine certain components, or may have a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a wireless fidelity (WIRELESS FIDELITY, WIFI) module, a power supply, a bluetooth module, and the like, which are not described herein.
In the embodiment of the present specification, the execution subject of each step may be the terminal described above. Optionally, the execution subject of each step is an operating system of the terminal. The operating system may be an android system, an IOS system, or other operating systems, which embodiments of the present specification are not limited to.
In the electronic device of fig. 12, the processor 110 may be configured to invoke the program stored in the memory 120 and execute to implement the information recommendation method as described in the various method embodiments of the present specification.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, or the like.
It should be noted that, information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, presented data, etc.), and signals according to the embodiments of the present disclosure are all authorized by the user or are fully authorized by the parties, and the collection, use, and processing of relevant data is required to comply with relevant laws and regulations and standards of relevant countries and regions. For example, information preference category label information, information recommendation cards, user preference category labels, and the like referred to in this specification are all acquired with sufficient authorization.
The foregoing disclosure is only illustrative of the preferred embodiments of the present invention and is not to be construed as limiting the scope of the claims, which follow the meaning of the claims of the present invention.

Claims (13)

1. An information recommendation method, the method comprising:
Determining information preference category label information of a target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
Responding to page browsing operation of the target user for a transaction service page, determining a reference subclass tag set under a reference information class target sign through the preference class query mode, and displaying the reference subclass tag set on the transaction service page;
Determining at least one user preference sub-class label in response to sub-class label selection operation of the target user for the reference sub-class label set;
and recalling at least one preference information recommendation card based on the user preference subclass tag, and updating recommendation information of the transaction service page based on the preference information recommendation card.
2. The method of claim 1, wherein the determining information preference category label information of the target user using the preference category query mode comprises:
Responding to the initial opening operation of a target user on a transaction service page, starting a first preference category query mode aiming at the target user, and determining a preference category query area on the transaction service page through the first preference category query mode;
Displaying at least one reference information category label in the preference category query area, and determining information preference category label information of the target user in response to a category label selection operation of the target user for the reference information category label.
3. The method of claim 2, the displaying a transaction service page containing the information recommendation card, comprising:
Loading an information preference category area and an information recommendation card area on the transaction service page, displaying information preference category labels in information preference category label information in the information preference category area, and displaying the information recommendation card in the information recommendation card area;
After the transaction service page containing the information recommendation card is displayed, the method further comprises the following steps:
And in response to a category label modification operation of the target user for the information preference category label in the information preference category region, determining a modified information preference category label, and updating the information preference category label information based on the modified information preference category label.
4. The method of claim 1, wherein the determining the reference subclass tag set under the reference information class target tag by the preference category query mode and displaying the reference subclass tag set on the transaction service page comprises:
Starting a second preference category query mode aiming at the target user, determining a first sub-class label set under a first information category target sign, and displaying the first sub-class label set on the transaction service page, wherein the first information category label is different from the information preference category label in the information preference category region; and/or
And starting a third preference category query mode aiming at the target user, determining a second sub-class label set of information preference category target labels, and displaying the second sub-class label set on the transaction service page, wherein the second sub-class label set comprises at least one information preference sub-class label which is not selected by the target user.
5. The method according to claim 1 or 4, further comprising, after said determining at least one user preference sub-category label:
Writing the user preference subclass label into preference subclass label information;
And determining a target information category label corresponding to the user preference subclass label, and if the information preference category label information does not exist the target information category label, writing the target information category label into the information preference category label information.
6. The method of claim 4, the method further comprising:
Responding to target card operation of the target user on a reference information recommendation card in the transaction service page, determining a reference information sub-class label corresponding to the reference information recommendation card, determining that the reference information sub-class label is of a non-user preference type, and deleting the reference information sub-class label in the information preference class label information based on the non-user preference type; and/or the number of the groups of groups,
And in response to page refreshing operation of the target user for the transaction service page, recalling service information cards in the transaction service page, determining user preference information cards and non-user preference information cards based on preference subclass tag information, arranging and configuring the user preference information cards to be before the non-user preference information cards in the transaction service page, performing first sorting processing on the user preference information cards in the transaction service page based on preference tag record dates, and performing second sorting processing on the non-user preference information cards in the transaction service page based on information recommendation scores.
7. The method of claim 1, further comprising, after said determining at least one user preference subclass label:
And configuring a preference tag validity period for the user preference sub-category tag, and managing the preference sub-category tag based on the preference tag validity period.
8. The method of claim 7, the managing the preference subclass label based on the preference label validity period comprises:
Detecting a preference subclass tag state corresponding to the user preference subclass tag based on the preference tag validity period;
If the preference subclass tag state is the preference subclass tag valid state, performing priority information recommendation processing on preference information recommendation cards corresponding to the user preference subclass tags, starting a preference category query mode aiming at the target user, recommending a recommendation preference subclass tag set associated with the user preference subclass tag to the target user, taking the recommendation preference subclass tag set as the reference subclass tag set, and executing the step of displaying the reference subclass tag set on the transaction service page;
If the preference sub-class label state is the preference sub-class label failure state, monitoring the information card operation frequency of the target user on the preference information recommendation card corresponding to the user preference sub-class label in a preset period, and carrying out preference sub-class label state delay management on the user preference sub-class label based on the information card operation frequency.
9. The method of claim 8, the preference subclass tag status deferred management of the user preference subclass tag based on the information card operating frequency, comprising:
If the operation frequency of the information card is larger than an operation frequency threshold, carrying out preference subclass tag state delay processing on the user preference subclass tag;
If the operation frequency of the information card is smaller than or equal to an operation frequency threshold value, setting a preference sub-class label state of the user preference sub-class label to be a normal sub-class label state, and adding a normal sub-class label which is the normal sub-class label state into the reference sub-class label set.
10. An information recommendation apparatus, the apparatus comprising:
The page processing module is used for determining information preference category label information of the target user by adopting a preference category query mode, determining at least one information recommendation card aiming at the target user based on the information preference category label information, and displaying a transaction service page containing the information recommendation card;
The set processing module is used for responding to the page browsing operation of the target user for the transaction service page, determining a reference sub-class label set under the reference information type target sign through the preference category query mode, and displaying the reference sub-class label set on the transaction service page;
The tag processing module is used for responding to the sub-class tag selection operation of the target user for the reference sub-class tag set and determining at least one user preference sub-class tag;
And the information updating module is used for recalling at least one preference information recommendation card based on the user preference subclass tag information, and updating recommendation information of the transaction service page based on the preference information recommendation card.
11. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the method steps of any one of claims 1 to 9.
12. A computer program product storing at least one instruction for loading by a processor and performing the method steps of any one of claims 1 to 9.
13. An electronic device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1-9.
CN202410182065.6A 2024-02-18 2024-02-18 Information recommendation method and device, storage medium and electronic equipment Pending CN118035547A (en)

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CN202410182065.6A CN118035547A (en) 2024-02-18 2024-02-18 Information recommendation method and device, storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410182065.6A CN118035547A (en) 2024-02-18 2024-02-18 Information recommendation method and device, storage medium and electronic equipment

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