CN116932891A - Resource object display method, device, equipment, storage medium and product - Google Patents
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Abstract
The application relates to a resource object display method, a resource object display device, a computer device, a storage medium and a computer program product. The method comprises the following steps: responding to a trigger event of the account for adjusting the display mode of the resource object in the financial client, and acquiring account portrait information of the account; inputting account portrait information into a resource object recommendation model corresponding to an area where an account is located, and determining a target resource object recommended to the account in a financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located; and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account. According to the application, the needed resource objects can be displayed for the accounts in different areas more accurately, frequent searching in a financial client is avoided, and the acquisition efficiency of the resource objects is effectively improved.
Description
Technical Field
The present application relates to the technical field of financial software, and in particular, to a resource object display method, a resource object display device, a computer device, a storage medium and a computer program product.
Background
With the development of financial software technology, in order to facilitate users in different areas to use financial clients more conveniently, different application versions can be provided for users in different areas.
In the related art, application versions are provided for users in different areas, mainly the change of regional languages, for example, chinese application versions are provided for domestic users, and for overseas areas, targeted version development can be performed according to the languages used in the corresponding regions.
However, in practice, there are still many inconveniences, and users in different regions still need to spend more time to acquire a suitable resource object in the application, so that the resource object acquisition efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a resource object display method, apparatus, computer device, computer readable storage medium, and computer program product that can improve the efficiency of resource object acquisition.
In a first aspect, the present application provides a resource object display method. The method comprises the following steps:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
Inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In one embodiment, before the account portrait information is input into the resource object recommendation model corresponding to the area where the account is located, the method further includes:
determining a target client version corresponding to the target area from a plurality of client versions provided in advance; the client versions respectively correspond to different areas, and the target area is a selected area in the areas;
and acquiring historical account portrait information of the historical account of which the target client version is used, training an initial model to be trained based on the historical account portrait information, and obtaining a resource object recommendation model corresponding to the target area.
In one embodiment, before the obtaining the historical account portrait information of the historical account using the target client version, the method further includes:
determining a candidate account that has used the target client version;
and determining a candidate account with account attribution matched with the target area from a plurality of candidate accounts based on the account attribution of each candidate account, and taking the candidate account with account attribution matched with the target area as a historical account corresponding to the target area.
In one embodiment, the historical account representation information includes operational data of the historical account on the resource object, and account characteristics of the historical account;
training the initial model to be trained based on the historical account portrait information to obtain a resource object recommendation model corresponding to the target area, wherein the training comprises the following steps:
and training the unsupervised model to be trained based on the operation data and account characteristics of the resource object by the historical account to obtain a resource object recommendation model corresponding to the target area.
In one embodiment, the history accounts are multiple;
the training the unsupervised model to be trained based on the operation data and account characteristics of the historical account on the resource object to obtain a resource object recommendation model corresponding to the target area, including:
Determining a clustering center account serving as a clustering center from a plurality of history accounts;
clustering a plurality of historical accounts based on the clustering center account to obtain a plurality of account sets; historical accounts belonging to the same account set have matched account characteristics and operation data;
updating the cluster center account of each account set, and returning to execute the clustering of the historical accounts based on the cluster centers until the clustering end condition is met, and taking the cluster center of each account set at present as a target cluster center;
determining a resource object recommendation model corresponding to the target area based on each target cluster center; the resource object recommendation model is used for determining an account set to which the account belongs based on the similarity between the account and each target clustering center, and obtaining a target resource object of the account based on the resource object associated with the account set.
In one embodiment, the determining, by the resource object recommendation model, the target resource object recommended to the account in the financial client includes:
determining target resource objects recommended to the account in the financial client through the resource object recommendation model, and paying attention to priority of each target resource object by the account;
The adjusting the display mode of the resource object in the financial client of the account according to the target resource object comprises the following steps:
and determining the display priority of each target resource object based on the attention priority of each target resource object, and adjusting the display mode of the resource object in the financial client of the account based on the display priority of each target resource object.
In one embodiment, the adjusting the display manner of the resource object in the financial client of the account based on the display priority of each target resource object includes:
determining the display priority of other resource objects in the resource objects, wherein the other resource objects are other resource objects except the target resource object, and the priority of the other resource objects is lower than the display priority of any target resource object;
determining a display form of each resource object based on the display priority of each target resource object and the display priority of each other resource object; the display form comprises at least one of the following: the display position of the resource object in the financial client function interface, and the ordering position of the resource object in a resource object list;
And displaying in the financial client of the account according to the display form of each resource object.
In a second aspect, the application further provides a resource object display device. The device comprises:
the portrait information acquisition module is used for responding to a trigger event of an account for adjusting the display mode of a resource object in a financial client to acquire account portrait information of the account;
the target resource object determining module is used for inputting the account portrait information into a resource object recommending model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommending model; the resource object recommendation model is trained based on historical account portrait information of a historical account, and the historical account belongs to the area;
and the display module is used for adjusting the display mode of the resource object in the financial client of the account according to the target resource object.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is trained based on historical account portrait information of a historical account, and the historical account belongs to the area;
and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is trained based on historical account portrait information of a historical account, and the historical account belongs to the area;
And according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is trained based on historical account portrait information of a historical account, and the historical account belongs to the area;
and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
According to the resource object display method, the device, the computer equipment, the storage medium and the computer program product, the account portrait information of the account can be acquired in response to the triggering event that the account adjusts the display mode of the resource object in the financial client, then the account portrait information can be input into the resource object recommendation model corresponding to the area where the account is located, the resource object recommendation model is used for determining the target resource object recommended to the account in the financial client, the resource object recommendation model is obtained based on the historical account portrait information training of the historical account, the historical account belongs to the area where the account is located, and furthermore, the display mode of the resource object in the financial client of the account can be adjusted according to the target resource object. According to the application, the account portrait information of the account is input into the resource object recommendation model obtained based on the history account portrait information training, so that the use condition of the history account in the area on the resource object in the financial client can be combined, the target resource object recommended to the account can be predicted, the needed resource object can be displayed for the accounts in different areas more accurately, frequent searching in the financial client is avoided, and the acquisition efficiency of the resource object is effectively improved.
Drawings
FIG. 1 is a flow chart of a method for displaying resource objects in one embodiment;
FIG. 2 is a flowchart illustrating steps for obtaining historical account representation information and training a resource object recommendation model in one embodiment;
FIG. 3 is a flow chart illustrating steps for training a cluster model in one embodiment;
FIG. 4 is a flowchart illustrating steps for adjusting a resource object presentation in one embodiment;
FIG. 5 is a block diagram of a resource object presentation device in one embodiment;
FIG. 6 is an internal block diagram of a computer device in one embodiment;
FIG. 7 is an internal block diagram of another computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In one embodiment, as shown in fig. 1, a resource object display method is provided, and this embodiment is illustrated by applying the method to a financial client, where the financial client may be deployed on a terminal. In this embodiment, the financial client may acquire account portrait information of the account in response to a trigger time for the account to adjust a display manner of a resource object in the financial client, and then the financial client may input the account portrait information into a resource object recommendation model corresponding to an area where the account is located, and determine a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, the historical account belongs to an area where the account is located, and then the financial client can adjust the display mode of the resource object in the financial client of the account according to the target resource object. By way of example, the terminal may be, but is not limited to, a personal computer, a notebook computer, a smartphone, a tablet computer, an internet of things device, and a portable wearable device.
It can be understood that the method can also be applied to a server, and can also be applied to a system comprising a terminal and a server, and the method is realized through interaction of the terminal and the server, for example, after a financial client detects a trigger event that an account adjusts the display mode of a resource object in the financial client, a resource object recommendation request for the account can be sent to the server, after receiving the resource object recommendation request, the server can acquire account portrait information of the account, input the account portrait information to a resource object recommendation model corresponding to an area where the account is located, determine a target resource object recommended to the account in the financial client by the resource object recommendation model, and return the target resource object to the financial client, and the financial client can adjust the display mode of the resource object in the financial client of the account according to the target resource object.
In this embodiment, the method comprises the steps of:
s101, responding to a trigger event of the account for adjusting the display mode of the resource object in the financial client, and acquiring account portrait information of the account.
Wherein, the users may have corresponding accounts, in some alternative embodiments, each user may obtain one account corresponding to each user based on the identity of the user, or may obtain one or more accounts of each user based on one or more communication identities (such as a mobile phone number) of each user.
The account portrait information of an account may be used to characterize the account, such as the inherent properties of the account itself, as well as the manner in which the account uses the financial client. It should be emphasized that the account portrait information in the present application is information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data all comply with the related laws and regulations and standards of the related country and region, and the account portrait information has been desensitized during the use.
The financial client may be a client developed for a financial business in which a variety of resource objects may be provided, which in some alternative embodiments may include at least one of: virtual resources (e.g., financial products, mementos, etc.), resource processing services (e.g., virtual resource balance queries, virtual resource transfers, etc.), client functionality configuration settings for financial clients. The user may perform a variety of transactions for the virtual resource through one or more resource objects provided by the financial client.
In a specific implementation, a user can log in to a financial client through a corresponding account of the user, the financial client can judge whether the current account has a trigger corresponding to a trigger event, and the trigger event can indicate that the display mode of a resource object in the financial client is to be adjusted.
In some embodiments, the triggering event may include at least one of: and starting the financial client, entering a specified function page in the financial client, and displaying a plurality of resource objects. The designated function in the financial client may be configured in advance by a developer or a user, for example, if the financial client includes a first function page for a credit card and a second function page for a life service, at least one of the first function page and the second function page may be used as the designated function page.
In the event that the financial client detects a trigger event, it may be determined that a plurality of resource objects provided by the financial client are to be exposed. In the related art, the display manners of the plurality of resource objects in the financial client may be consistent for accounts of different areas, however, there may be differences in the operation manners or usage habits of different accounts. In this regard, account profile information for an account may be obtained in response to a detected trigger event.
S102, inputting account portrait information into a resource object recommendation model corresponding to an area where an account is located, and determining a target resource object recommended to the account in a financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located.
As an example, the area where the account is located may be an area obtained by dividing according to a relationship or a national context; individual financial institutions within the same area may provide resource objects conforming to financial regulatory rules to users within the area via financial clients based on the same financial regulatory rules.
In practical application, financial supervision rules set in different regions or countries will be different, so that users in different regions will have different preference degrees for the same resource objects in financial clients. The application can train corresponding resource object recommendation models for different areas in advance, the resource object recommendation models are based on account portrait information of the historical account, namely, the historical account portrait information is trained, because the historical account and the account belong to the same area, the historical account and the account select resource objects provided by a financial institution in a financial client under the same financial supervision rule, the resource objects selected by the historical account are associated with the resource objects possibly selected by the account, and the resource object recommendation models obtained through the historical account portrait information training can predict the resource objects possibly concerned by the account more accurately.
In this step, after the account image information of the account is acquired, the account image information may be input into a resource object recommendation model corresponding to the area where the account is located, and the resource object recommended to the account may be determined as a target resource object from among the resource objects provided by the financial client by the model, where the target resource object may be one or a plurality of target resource objects.
S103, according to the target resource object, the display mode of the resource object in the financial client of the account is adjusted.
Specifically, the target resource object may be a predicted common resource object (i.e. a resource object that may be frequently used by an account, where the frequency of use of the common resource object is higher than a threshold value), so that, in order to facilitate a user to obtain a resource object that needs to be used more conveniently and timely, the financial client may adjust, according to the target resource object, a display manner of the resource object in the financial client of the account.
In this embodiment, in response to a trigger event that an account adjusts a display manner of a resource object in a financial client, account portrait information of the account may be obtained, then the account portrait information may be input into a resource object recommendation model corresponding to an area where the account is located, a target resource object recommended to the account in the financial client is determined by the resource object recommendation model, the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account is attributed to the area where the account is located, and further, the display manner of the resource object in the financial client of the account may be adjusted according to the target resource object. According to the application, the account portrait information of the account is input into the resource object recommendation model obtained based on the history account portrait information training, so that the use condition of the history account in the area on the resource object in the financial client can be combined, the target resource object recommended to the account can be predicted, the needed resource object can be displayed for the accounts in different areas more accurately, frequent searching in the financial client is avoided, and the acquisition efficiency of the resource object is effectively improved.
In one embodiment, as shown in fig. 2, before the account portrait information is input into the resource object recommendation model corresponding to the area where the account is located, the present application may further include the following steps:
s201, determining a target client version corresponding to a target area from a plurality of client versions provided in advance; the plurality of client versions respectively correspond to different areas, and the target area is a selected area of the plurality of areas.
In a specific implementation, when developing a financial client, a developer may configure different client versions for different areas in advance, so as to obtain multiple client versions of the financial client.
Then, a target area of the corresponding resource object recommendation model to be trained can be determined, the target area is a selected area in the plurality of areas, and if the plurality of areas exist and the corresponding resource object recommendation model needs to be trained, each area in the plurality of areas can be used as an independent target area respectively.
After the target area is determined, the client version corresponding to the target area can be obtained from the plurality of client versions and used as the target client version.
S202, acquiring historical account portrait information of a historical account using a target client version, and training an initial model to be trained based on the historical account portrait information to obtain a resource object recommendation model corresponding to a target area.
In this step, account portrait information of a history account using a target client version may be acquired, then an initial model is trained based on the history account portrait information, and when a training end condition is satisfied, a current model is used as a resource object recommendation model corresponding to a target area. In some alternative embodiments, the initial model to be trained may include an unsupervised model, or may include a supervised model.
In the embodiment, by determining the target client version corresponding to the area, the historical account portrait information of the historical account associated with the area can be rapidly and accurately obtained from the massive account information of the financial client, and the screening efficiency of the historical account portrait information is effectively improved.
In one embodiment, prior to S202, the present application may further include the steps of:
determining a candidate account using the target client version; based on the account attribution of each candidate account, a candidate account whose account attribution matches the target area is determined from among the plurality of candidate accounts as a history account corresponding to the target area.
As an example, the account home may be an account livephone, which may be determined based on an account pre-filled livephone address, for example.
Specifically, individual accounts using the target client version may be determined as a plurality of candidate accounts. In practice, there are situations where an account using a target client version is not in the target area, for example, domestic users use overseas versions of financial clients.
Based on this, after obtaining a plurality of candidate accounts, the account attribution of each candidate account may be determined, and the candidate account whose account attribution matches the target area (e.g., the account attribution is within the range of the target area) may be used as the history account.
In this embodiment, the candidate account using the target client version may be further screened through the account attribution, so as to effectively improve reliability and accuracy of the finally obtained historical account.
In other embodiments, if a client version provided by a financial client is used by multiple different regions simultaneously, such as a financial client developed by a financial institution in China, and two client versions are provided simultaneously, the overseas version will be used by users of multiple different regions; for this case, a client version associated with the target area may be determined, which may be used by candidate accounts in other areas in addition to candidate accounts in the target area, where the account attribution of each candidate account may be used for screening to obtain a history account.
In one embodiment, the historical account representation information may include operational data of the historical account on the resource object, as well as account characteristics of the historical account. Illustratively, the historical account-to-resource object operational data may include at least one of: the number of clicks, the frequency of clicks, and the number of uses; the account characteristics may include at least one of: the desensitized identity, the desensitized user name and the desensitized contact mode.
It may be appreciated that the account portrait information of the account related in steps S101 to S103 may include part or all of the types of the historical account portrait information, and specific account portrait information may be described above, which is not described herein.
Correspondingly, the step S202 of training the initial model to be trained based on the historical account portrait information to obtain a resource object recommendation model corresponding to the target area can comprise the following steps:
and training the unsupervised model to be trained based on the operation data and account characteristics of the resource object by the historical account to obtain a resource object recommendation model corresponding to the target area.
In this step, the unsupervised model to be trained may be trained based on the operation data of the historical account on the resource object and the account characteristics of the historical account. By using the operation data of the historical account and the account characteristics to perform unsupervised training, the manual annotation time can be effectively saved, and the corresponding resource object recommendation model can be trained for different areas efficiently and quickly.
In one embodiment, the plurality of history accounts may be the cluster model, as shown in fig. 3, and training the to-be-trained unsupervised model based on the operation data and the account characteristics of the history accounts on the resource object to obtain a resource object recommendation model corresponding to the target area may include the following steps:
s301, determining a clustering center account serving as a clustering center from a plurality of history accounts.
Specifically, after a plurality of history accounts are acquired, a plurality of history accounts can be randomly determined from the history accounts, and the randomly determined plurality of history accounts are used as a clustering center, so that a plurality of clustering center accounts can be obtained.
S302, clustering a plurality of historical accounts based on a clustering center account to obtain a plurality of account sets; historical accounts belonging to the same account set have matching account characteristics and operational data.
After determining the plurality of cluster center accounts, the plurality of history accounts may be clustered, specifically, for example, a distance between each history account and each cluster center account may be determined, and each history account may be divided into account sets corresponding to cluster center accounts with the smallest distance, so that a plurality of account sets may be obtained, each account set includes at least one history account, and each history account in each account set may have matched (same or similar) account features and operation data.
S303, updating the cluster center account of each account set, and returning to execute clustering on a plurality of historical accounts based on the cluster centers until the clustering end condition is met, and taking the cluster center of each account set at present as a target cluster center.
Then, for each account set, based on the account characteristics and the operation data of each historical account in the account set, the cluster center account of the account set may be redetermined, so as to obtain an updated cluster center account, and further, the execution step S302 may be returned to be executed until the cluster end condition is met, for example, the cluster center account is not changed any more or the iteration number meets the preset condition. The cluster center of each account set may be the target cluster center at this time.
S304, determining a resource object recommendation model corresponding to the target area based on each target cluster center; the resource object recommendation model is used for determining an account set to which the account belongs based on the similarity between the account and each target clustering center, and obtaining a target resource object of the account based on the resource object associated with the account set.
In practical application, after the target cluster center combined by each account is obtained, a resource object recommendation model can be obtained based on each target cluster center. Specifically, for multiple account sets obtained by clustering in the training process, a corresponding resource object may be associated with each account set, in an optional embodiment, a resource object associated with the account set may be determined according to operation data of each historical account in the account set for the resource object, and in some embodiments, a priority of interest of each resource object associated with the account set may also be determined according to operation data of the historical account.
When the resource object recommendation model obtains account portrait information of a new account, the similarity between the account and each target clustering center can be determined based on operation data and account characteristics in the account portrait information, an account set to which the account belongs is determined based on each similarity, for example, an account set corresponding to the target clustering center with the highest similarity can be used as the account set to which the account belongs, and then a target resource object of the account can be obtained based on a resource object associated with the account set and is output as a prediction result of the resource object recommendation model.
In the embodiment, the cluster model can be subjected to unsupervised training by using the historical account portrait information and account characteristics of the historical account, so that the resource object recommendation model can be rapidly obtained.
In one embodiment, determining, by the resource object recommendation model, a target resource object recommended to an account in a financial client may include the steps of:
determining target resource objects recommended to the account in the financial client through a resource object recommendation model, and paying attention to the attention priority of each target resource object by the account.
Wherein the attention priority may characterize the amount of likelihood of using or acquiring the corresponding target resource object, the higher the attention priority, the greater the likelihood of using or acquiring the corresponding target resource object by the account.
In step S103, according to the target resource object, the method for adjusting the display mode of the resource object in the financial client of the account may include the following steps:
and determining the display priority of each target resource object based on the attention priority of each target resource object, and adjusting the display mode of the resource object in the financial client of the account based on the display priority of each target resource object.
Wherein the presentation priority may characterize a degree of prominence or emphasis when presenting the corresponding resource object, the higher the presentation priority, the higher the degree of prominence of the resource object.
In a specific implementation, the attention priority of each target resource object can be determined as the display priority of each target resource object, and the display modes of a plurality of resource objects in the financial client can be adjusted according to the display priorities of the target resource objects because the target resource objects are included in the plurality of resource objects provided by the financial client.
In this embodiment, the display priority of each target resource object may be determined, and the display modes of different resource objects in the financial client may be adjusted in combination with the display priority, so that when a user browses a plurality of resource objects displayed by the financial client, the target resource object may be more quickly and rapidly located in a large number of resource objects through the adjusted display modes.
In one embodiment, as shown in fig. 4, adjusting the display manner of the resource object in the financial client of the account based on the display priority of each target resource object may include:
s401, determining the display priority of other resource objects in the resource objects, wherein the other resource objects are other resource objects except the target resource object, and the priority of the other resource objects is lower than the display priority of any target resource object.
In particular, when the target resource object is obtained, a plurality of resource objects provided by the financial client may be divided into the target resource object and other resource objects. After determining the display priority of each target resource object, the display priority of each other resource object can be configured based on the display priority of other resource objects, so that the display priority of each other resource object is smaller than the priority of each target resource object, and the display priority among a plurality of other resource objects can be determined according to the use times of each other resource object in the financial client, can be determined according to the service requirement, and can be determined randomly.
S402, determining the display form of each resource object based on the display priority of each target resource object and the display priority of each other resource object.
Wherein the display form comprises at least one of the following: and the display position of the resource object in the financial client function interface, and the ordering position of the resource object in the resource object list.
After the display priorities of the target resource object and other resource objects are obtained, the display form of each resource object can be determined according to the display priorities.
Specifically, for example, if the display form includes display positions, the attention degree of each display position may be determined, and the higher the display priority of the resource object, the higher the attention degree of the resource object may be configured to display at the display position. If the presentation form includes the sorting position of the resource object in the resource object list, the higher the presentation priority, the earlier the sorting position of the resource object.
S403, displaying in the financial client of the account according to the display form of each resource object.
After determining the presentation form of each resource object, each resource object may be presented in the financial client of the account according to the adjusted presentation form.
In this embodiment, the display form of the resource object in the financial client may be adaptively adjusted according to the display priority, so that the user may browse the resource object that may be used or focused by the user more quickly.
In order that those skilled in the art may better understand the above steps, an embodiment of the present application will be described below by way of an example, but it should be understood that the embodiment of the present application is not limited thereto.
In practical applications, a financial client developed by a financial institution may be used by accounts belonging to different areas, for example, an area a, an area B, and an area C obtained by dividing according to a relationship, and accounts belonging to the area a, the area B, and the area C may all use the financial client. A plurality of resource objects are provided in the financial client, which may include, for example, resource objects for the following categories: credit card, bank account, transfer of money, personal settings.
For each area, training a corresponding resource object recommendation model for the area in advance, and acquiring historical account portrait information of a plurality of historical accounts belonging to the area, such as click behavior data of the historical accounts on different resource objects in a financial client, use data of the resource objects and account attribute information of the historical accounts, when training the resource object recommendation model corresponding to the area; and then training the clustering model by using the historical account portrait information of the area, and obtaining a resource object recommendation model after training is completed.
When the account M logs in the financial client, the financial client can identify that the account M is a user of the area A, then the account portrait information of the account M can be acquired and input into a resource object recommendation model corresponding to the area A, and the display priorities of a plurality of resource objects output by the model can be obtained, for example, the display priorities can be sequentially from high to low: credit card, transfer of money, personal settings, bank account. Of course, in other embodiments, the resource object recommendation model may also be embedded into the list query of the resource objects, so that when the account queries the resource objects, the resource objects focused on by the account are preferentially displayed, and personalized recommendation is realized.
By the method, the user can quickly acquire the resource object which is concerned or possibly needed to be used in the financial client, the resource object acquisition efficiency is improved, and the viscosity between the user and the financial client is also improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a resource object display device for realizing the above related resource object display method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the resource object display device or devices provided below may refer to the limitation of the resource object display method hereinabove, and will not be repeated herein.
In one embodiment, as shown in fig. 5, there is provided a resource object exhibiting apparatus, including:
the portrait information acquisition module 501 is configured to acquire account portrait information of an account in response to a trigger event that the account adjusts a display manner of a resource object in a financial client;
a target resource object determining module 502, configured to input the account portrait information into a resource object recommendation model corresponding to an area where the account is located, and determine, by using the resource object recommendation model, a target resource object recommended to the account in the financial client; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
And the display module 503 is configured to adjust a display manner of the resource object in the financial client of the account according to the target resource object.
In one embodiment, the apparatus further comprises:
the target version determining module is used for determining a target client version corresponding to the target area from a plurality of client versions provided in advance; the client versions respectively correspond to different areas, and the target area is a selected area in the areas;
the model training module is used for acquiring historical account portrait information of the historical account of the target client version, training an initial model to be trained based on the historical account portrait information, and obtaining a resource object recommendation model corresponding to the target area.
In one embodiment, the apparatus further comprises:
a candidate account determination module for determining a candidate account for which the target client version has been used;
and the historical account screening module is used for determining candidate accounts with account attributions matched with the target area from a plurality of candidate accounts based on the account attributions of each candidate account, and taking the candidate accounts as historical accounts corresponding to the target area.
In one embodiment, the historical account representation information includes operational data of the historical account on the resource object, and account characteristics of the historical account;
the model training module is used for:
and training the unsupervised model to be trained based on the operation data and account characteristics of the resource object by the historical account to obtain a resource object recommendation model corresponding to the target area.
In one embodiment, the history account is a plurality of;
the model training module is used for:
determining a clustering center account serving as a clustering center from a plurality of history accounts;
clustering a plurality of historical accounts based on the clustering center account to obtain a plurality of account sets; historical accounts belonging to the same account set have matched account characteristics and operation data;
updating the cluster center account of each account set, and returning to execute the clustering of the historical accounts based on the cluster centers until the clustering end condition is met, and taking the cluster center of each account set at present as a target cluster center;
determining a resource object recommendation model corresponding to the target area based on each target cluster center; the resource object recommendation model is used for determining an account set to which the account belongs based on the similarity between the account and each target clustering center, and obtaining a target resource object of the account based on the resource object associated with the account set.
In one embodiment, the target resource object determining module 502 is configured to:
determining target resource objects recommended to the account in the financial client through the resource object recommendation model, and paying attention to priority of each target resource object by the account;
the display module 503 is configured to:
and determining the display priority of each target resource object based on the attention priority of each target resource object, and adjusting the display mode of the resource object in the financial client of the account based on the display priority of each target resource object.
In one embodiment, the display module 503 is configured to:
determining the display priority of other resource objects in the resource objects, wherein the other resource objects are other resource objects except the target resource object, and the priority of the other resource objects is lower than the display priority of any target resource object;
determining a display form of each resource object based on the display priority of each target resource object and the display priority of each other resource object; the display form comprises at least one of the following: the display position of the resource object in the financial client function interface, and the ordering position of the resource object in a resource object list;
And displaying in the financial client of the account according to the display form of each resource object.
The various modules in the resource object presentation apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a resource object presentation method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing account portrait information. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a resource object presentation method.
It will be appreciated by persons skilled in the art that the structures shown in fig. 6 and 7 are block diagrams of only portions of structures associated with the present inventive arrangements and are not limiting of the computer device to which the present inventive arrangements are applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
And according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In one embodiment, the steps of the other embodiments described above are also implemented when the processor executes a computer program.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In one embodiment, the computer program, when executed by a processor, also implements the steps of the other embodiments described above.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
and according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
In one embodiment, the computer program, when executed by a processor, also implements the steps of the other embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (11)
1. A method for displaying a resource object, the method comprising:
responding to a trigger event of an account for adjusting a display mode of a resource object in a financial client, and acquiring account portrait information of the account;
inputting the account portrait information into a resource object recommendation model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommendation model; the resource object recommendation model is obtained based on historical account portrait information training of a historical account, and the historical account belongs to an area where the account is located;
And according to the target resource object, adjusting the display mode of the resource object in the financial client of the account.
2. The method of claim 1, wherein prior to the entering the account representation information into a resource object recommendation model corresponding to an area in which the account is located, the method further comprises:
determining a target client version corresponding to the target area from a plurality of client versions provided in advance; the client versions respectively correspond to different areas, and the target area is a selected area in the areas;
and acquiring historical account portrait information of the historical account of which the target client version is used, training an initial model to be trained based on the historical account portrait information, and obtaining a resource object recommendation model corresponding to the target area.
3. The method of claim 2, further comprising, prior to the obtaining historical account representation information for the historical account for which the target client version was used:
determining a candidate account that has used the target client version;
and determining a candidate account with account attribution matched with the target area from a plurality of candidate accounts based on the account attribution of each candidate account, and taking the candidate account with account attribution matched with the target area as a historical account corresponding to the target area.
4. The method of claim 2, wherein the historical account representation information includes operational data of the historical account on the resource object, and account characteristics of the historical account;
training the initial model to be trained based on the historical account portrait information to obtain a resource object recommendation model corresponding to the target area, wherein the training comprises the following steps:
and training the unsupervised model to be trained based on the operation data and account characteristics of the resource object by the historical account to obtain a resource object recommendation model corresponding to the target area.
5. The method of claim 4, wherein the historical account is a plurality of;
the training the unsupervised model to be trained based on the operation data and account characteristics of the historical account on the resource object to obtain a resource object recommendation model corresponding to the target area, including:
determining a clustering center account serving as a clustering center from a plurality of history accounts;
clustering a plurality of historical accounts based on the clustering center account to obtain a plurality of account sets; historical accounts belonging to the same account set have matched account characteristics and operation data;
Updating the cluster center account of each account set, and returning to execute the clustering of the historical accounts based on the cluster centers until the clustering end condition is met, and taking the cluster center of each account set at present as a target cluster center;
determining a resource object recommendation model corresponding to the target area based on each target cluster center; the resource object recommendation model is used for determining an account set to which the account belongs based on the similarity between the account and each target clustering center, and obtaining a target resource object of the account based on the resource object associated with the account set.
6. The method of any of claims 1-5, wherein the determining, by the resource object recommendation model, a target resource object in the financial client recommended to the account comprises:
determining target resource objects recommended to the account in the financial client through the resource object recommendation model, and paying attention to priority of each target resource object by the account;
the adjusting the display mode of the resource object in the financial client of the account according to the target resource object comprises the following steps:
And determining the display priority of each target resource object based on the attention priority of each target resource object, and adjusting the display mode of the resource object in the financial client of the account based on the display priority of each target resource object.
7. The method of claim 6, wherein adjusting the manner in which the resource objects are presented in the financial client of the account based on the presentation priority of each of the target resource objects comprises:
determining the display priority of other resource objects in the resource objects, wherein the other resource objects are other resource objects except the target resource object, and the priority of the other resource objects is lower than the display priority of any target resource object;
determining a display form of each resource object based on the display priority of each target resource object and the display priority of each other resource object; the display form comprises at least one of the following: the display position of the resource object in the financial client function interface, and the ordering position of the resource object in a resource object list;
And displaying in the financial client of the account according to the display form of each resource object.
8. A resource object display device, the device comprising:
the portrait information acquisition module is used for responding to a trigger event of an account for adjusting the display mode of a resource object in a financial client to acquire account portrait information of the account;
the target resource object determining module is used for inputting the account portrait information into a resource object recommending model corresponding to the area where the account is located, and determining a target resource object recommended to the account in the financial client by the resource object recommending model; the resource object recommendation model is trained based on historical account portrait information of a historical account, and the historical account belongs to the area;
and the display module is used for adjusting the display mode of the resource object in the financial client of the account according to the target resource object.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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