CN108074158B

CN108074158B - User recommendation page display method and device of shared rental platform and server

Info

Publication number: CN108074158B
Application number: CN201611026185.9A
Authority: CN
Inventors: 户保田; 陈谦
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2016-11-18
Filing date: 2016-11-18
Publication date: 2021-12-21
Anticipated expiration: 2036-11-18
Also published as: CN108074158A

Abstract

The embodiment of the invention provides a method, a device and a server for displaying user recommended pages of a shared rental platform, wherein the method comprises the following steps: acquiring information which is sent by a client and requests a user recommendation page of a first type of user; calling historical scores of first-class users on a first application platform from an application database of the first application platform; determining accounts of related users corresponding to the first class of users on the second application platform; acquiring a credit score of the related user on a second application platform according to the account number of the related user on the second application platform; according to the credit score of the related user, adjusting the historical score of the first type of user on the first application platform to obtain the target score of the first type of user; determining a sequencing result of the first type of users on a user recommendation page according to the target score of the first type of users; and sending the user recommendation page with the sequencing result to the client. The embodiment of the invention can improve the recommendation accuracy of the user recommendation page.

Description

User recommendation page display method and device of shared rental platform and server

Technical Field

The invention relates to the technical field of data processing, in particular to a user recommendation page display method, device and server of a shared rental platform.

Background

The shared rental platforms such as shared rental cars and shared rental houses provide convenience for users in various aspects of life and work; shared rental platforms such as shared rental cars and shared rental houses can support users to publish services online and subscribe services provided by other users online. For example, a shared car rental platform is taken as an example, a user may issue car rental information on the shared car rental platform, and may also subscribe to cars rented by other users on the shared car rental platform.

When a user needs to subscribe the service provided by other users on the shared leasing platform, the shared leasing platform can show a corresponding user recommendation page to the user and recommend a candidate user for providing the service on the user recommendation page; as shown in fig. 1, after the user queries the vehicle rental information on the shared rental platform, the shared rental platform may display a recommendation page provided with the rental vehicle and the owner. When the user needs to select the user who subscribes the service on the shared rental platform, the shared rental platform can display the corresponding user recommendation page to the user, and recommend the candidate user who subscribes the service on the user recommendation page, for example, a car owner can inquire the tenant who subscribes the own car on the shared rental platform.

When the user selects the candidate user for publishing the service or selects the candidate user for subscribing the service, the user generally selects the candidate user ranked at the top in the user recommendation page, so that how to accurately rank the candidate users in the user recommendation page by the shared rental platform is very important.

Currently, the rank of a candidate user in a user recommendation page is generally determined according to the score of the candidate user on a shared rental platform; and the score of the candidate user on the shared rental platform is obtained by selecting other users of the candidate user to score according to the performance of the candidate user. However, scoring of candidate users involves subjective awareness of the scoring user, the scoring is less accurate, and may also involve the phenomenon of malicious scoring; therefore, the accuracy of the ranking result of the candidate user recommended by the current user recommendation page is low, and how to improve the recommendation accuracy of the user recommendation page becomes a problem to be considered by the technical personnel in the field.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method, an apparatus, and a server for displaying a user recommendation page of a shared rental platform, so as to display a user recommendation page with higher accuracy of a ranking result to a user, and improve recommendation accuracy of the user recommendation page.

In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:

a user recommendation page display method of a shared rental platform comprises the following steps:

acquiring information which is sent by a client and requests a user recommendation page of a first type of user; the user recommendation page displays at least one first type of user with a first application platform;

calling historical scores of the first type of users on the first application platform from an application database of the first application platform; determining the account number of the related user corresponding to the first class of user on a second application platform; the first application platform accesses an account of the second application platform; the related users are users influencing the rating credibility of the first class of users on the first application platform;

acquiring a credit score of the related user on the second application platform according to the account number of the related user on the second application platform; the credit score of the related user is the credit score which influences the rating credibility of the first class of users on the first application platform;

according to the credit score of the related user, adjusting the historical score of the first type of user on the first application platform to obtain the target score of the first type of user;

determining a ranking result of the first type of users on the user recommendation page according to the target scores of the first type of users;

and sending the user recommendation page with the sequencing result to the client.

The embodiment of the invention also provides a device for displaying the user recommendation page of the shared rental platform, which comprises:

the request acquisition module is used for acquiring information which is sent by a client and requests a user recommendation page of a first type of user; the user recommendation page displays at least one first type of user with a first application platform;

the score calling module is used for calling the historical scores of the first class of users on the first application platform from an application database of the first application platform;

the related user account determining module is used for determining the account of the related user corresponding to the first class of user on the second application platform; the first application platform accesses an account of the second application platform; the related users are users influencing the rating credibility of the first class of users on the first application platform;

the credit score acquisition module is used for acquiring the credit score of the related user on the second application platform according to the account number of the related user on the second application platform; the credit score of the related user is the credit score which influences the rating credibility of the first class of users on the first application platform;

the score adjusting module is used for adjusting the historical scores of the first type users on the first application platform according to the credit scores of the related users to obtain the target scores of the first type users;

the ranking determining module is used for determining a ranking result of the first type of users on the user recommendation page according to the target scores of the first type of users;

and the page feedback module is used for sending the user recommendation page with the sequencing result to the client.

The embodiment of the invention also provides a server which comprises the user recommendation page display device of the shared rental platform.

Based on the technical scheme, the user recommendation page display method of the shared rental platform, provided by the embodiment of the invention, can acquire the credit score of the related user on the second application platform according to the account number of the related user influencing the rating credibility of the first user on the first application platform and the account number of the related user on the second application platform after acquiring the information of the user recommendation page of the first user, which is sent by the client and requests the first user; therefore, the historical scores determining the ranking of the first class users on the user recommended pages are corrected according to the credit scores of the related users, the target scores determining the ranking of the first class users on the user recommended pages are obtained, the credibility of the target scores of the first class users can be improved, the ranking of the first class users on the user recommended pages is determined according to the target scores, the ranking accuracy of the user recommended pages can be improved, and the recommendation accuracy of the user recommended pages is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

FIG. 1 is a schematic diagram of an owner recommendation page of a shared rental car platform;

FIG. 2 is a system architecture diagram provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of an SNS application embedded in a shared rental car platform link entry;

FIG. 4 is a flowchart of a method for displaying user recommendation pages of a shared rental platform according to an embodiment of the present invention;

FIG. 5 is a diagram of a second class of users and their scores for the first class of users;

FIG. 6 is a diagram illustrating an application of the present invention to a shared rental car platform;

FIG. 7 is a schematic diagram illustrating a comparison between a user recommendation page in the prior art and a user recommendation page in an embodiment of the present invention;

fig. 8 is a flowchart of a method for determining a target score of a first type of user according to an embodiment of the present invention;

FIG. 9 is another flowchart of a method for displaying user recommended pages of a shared rental platform according to an embodiment of the present invention;

fig. 10 is a schematic view of another application of the embodiment of the present invention in a shared rental car platform;

FIG. 11 is a schematic diagram illustrating another comparison of a user recommendation page according to the prior art and the embodiment of the present invention;

FIG. 12 is a schematic diagram illustrating a manner of requesting a user to recommend a page according to an embodiment of the present invention;

FIG. 13 is a block diagram of a user recommendation page presentation apparatus for a shared rental platform according to an embodiment of the present invention;

fig. 14 is a block diagram of a hardware structure of a server according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Fig. 2 is an architecture diagram of an implementation system of a user recommendation page presentation method for a shared rental platform according to an embodiment of the present invention, and referring to fig. 2, the system may include: server 10, application database 20, credit investigation database 30.

The server 10 and the application database 20 belong to a first application platform (e.g., a shared rental platform according to an embodiment of the present invention), and the credit investigation database 30 belongs to a second application platform; the first application platform and the second application platform belong to different application platforms, but the first application platform can access the account number of the second application platform, namely the account number of the second application platform can be used for logging in the first application platform.

Optionally, the second application platform may provide a portal for the user to link to the first application platform; as shown in fig. 3, the second application platform may be an SNS (Social Networking services) application platform, and the user may operate an interface of an SNS client to enter a page embedded with a link entry of the shared car rental platform, and request the page through the SNS client, and may link to the shared car rental platform to enter the page of the shared car rental platform.

Optionally, the server 10 is a service device in a server cluster to which the first application platform belongs, and is erected on a network side; in the embodiment of the present invention, the server 10 may be configured to process data, determine the ranking of candidate users, and display a user recommendation page with ranked candidate users to a user; the server 10 may be implemented as a group of a plurality of servers or may be implemented as an independent server.

The application database 20 is a database to which the first application platform belongs, and can record data generated by the user on the first application platform, and the server 10 can read and write data from the application database 20; in the embodiment of the present invention, the historical scores of each user on the first application platform, the scores of each user on other users, the service subscription times, service release times, and the like of each user may be recorded in the application database 20.

The credit investigation database 30 is a database of the second application platform in which credit scores of the respective users are recorded. The credit score is a score which is calculated according to information such as behavior data of the user and is used for judging the credit degree of the user; the credit score of the user can be calculated by training a model for predicting the credit of the user and importing the acquired behavior data of the user in the dimensionality of finance, communication, social activities and the like into the model.

Optionally, the server 10 may obtain the credit score of the user from the credit standing database 30 through an open interface of the credit standing database 30 according to an account number of the user in the second application platform; namely, the server 10 can obtain the credit score of each user calculated in the credit investigation database 30 without specific calculation of the credit score of each user; accordingly, the credit investigation database 30 may be a bank credit investigation database, or other credit investigation database that is open to inquire the credit score of the user.

The method for displaying the user recommended page of the shared rental platform provided by the embodiment of the invention is mainly realized by the server in the system architecture shown in fig. 2, and the method for displaying the user recommended page of the shared rental platform provided by the embodiment of the invention is introduced from the perspective of the server.

Fig. 4 is a flowchart of a method for displaying user recommended pages of a shared rental platform, which is applicable to a server and includes, in reference to fig. 4:

and step S100, obtaining information which is sent by a client and requests a user recommendation page of a first type of user.

Optionally, before step S100 is executed, the user may log in the first application platform through the client by using an account of the user in the second application platform; correspondingly, the client can send a request for logging in the first application platform by the account of the user on the second application platform to the server of the first application platform, and after the server verifies that the request passes, the client logs in the first application platform by the account of the user on the second application platform.

Optionally, the first class of users may be candidate users for publishing services in the application platform, and accordingly, the embodiment of the present invention may determine the candidate users for publishing services as the first class of users, and adjust the ranking of the first class of users for publishing services in the user recommendation page based on the user recommendation page display method for sharing the rental platform provided by the embodiment of the present invention, so that the users subscribing to services can select the first class of users for publishing services with high quality.

Optionally, the first class of users may also be candidate users for subscribing to the service in the application platform, and accordingly, the embodiment of the present invention may determine the candidate users for subscribing to the service as the first class of users to be ranked, and adjust the ranking of the first class of users for subscribing to the service in the user recommendation page based on the user recommendation page presentation method for the shared rental platform provided by the embodiment of the present invention, so that the user who publishes the service can select the first class of users for subscribing to the service with high quality.

Optionally, the first type of user is a candidate user for publishing a service or a candidate user for subscribing a service, and may be determined according to a type of a user recommendation page requested by the client and a service type of the first application platform; if the first application platform supports the user to inquire the candidate user for subscribing the service and supports the user to inquire the candidate user for publishing the service, the first class of user can be the candidate user for publishing the service when the client requests the user for publishing the service to recommend the page, and the first class of user can be the candidate user for subscribing the service if the client requests the user for subscribing the service to recommend the page;

if the first application platform only supports the candidate users for the user query publishing service, the user recommendation page of the first type of user requested by the client may be the user recommendation page of the user publishing service.

After the client sends the information of requesting the user recommendation page of the first type of user to the server, the server needs to feed back the user recommendation page of the first type of user to the client, so that the ranking accuracy of the first type of user in the user recommendation page is higher, and the user recommendation page display method of the shared rental platform provided by the embodiment of the invention can be applied to processing.

Step S110, calling the scores of all the second-class users to the first-class users from the application database of the first application platform; determining accounts of the second type of users on the second application platform;

optionally, if the first type of user is a user who publishes a service, after the first type of user provides the service once, the second type of user who subscribes to the service may score the first type of user, and the score may be recorded in the application database;

alternatively, if the first type of user is a user subscribing to the service, after the first type of user subscribes to the service once, the second type of user publishing the service may score the first type of user, and the score may be recorded in the application database.

Correspondingly, each second type user scoring the first type user and the score of each second type user to the first type user can be recorded in the application database, and the server can call each second type user scoring the first type user and the score of each second type user to the first type user from the application database;

optionally, if a second type user scores the first type user multiple times (for example, if a second type user subscribes multiple services of the same first type user, the second type user may score the first type user after each service subscription is completed, so that there are multiple scores for the first type user), taking a mean value of the multiple scores as the score of the second type user for the first type user; optionally, fig. 5 shows a plurality of second users who score a certain first user, and a schematic diagram of the scores of the second users on the first user, which can be referred to.

Optionally, a certain user may both publish services and subscribe services of other users, and the user type of a user may be adjusted according to the behavior type of the user on the application platform; for example, a user may be a user of a published service under the behavior type of the published service, and a user of the published service may also subscribe to services of other users to become a user of a subscribed service.

Optionally, a historical scoring record of the first type of user may be recorded in the application database, where the historical scoring record includes user identifiers of the second type of users scoring the first type of user, and scores of the first type of user by the second type of users;

therefore, the server can call the historical scoring records of the first type of users from the application database according to the accounts of the first type of users on the second application platform; the historical scoring records of the first type of users correspond to the accounts of the first type of users on the second application platform;

correspondingly, after the historical scoring records of the first class of users are called, the embodiment of the invention can determine the scoring of each second class of users on the first class of users.

Optionally, because the historical rating record of the first type of user may record a user identifier of each second type of user rating the first type of user, if the user identifier of the second type of user is an account of the second type of user on a second application platform, the embodiment of the present invention may determine the account of each second type of user on the second application platform directly according to the historical rating record of the first type of user and the recorded user identifier of each second type of user;

if the user identification of the second type of user is the name of the second type of user on the first application platform, the account of the second type of user on the second application platform is called from the application database according to the name of the second type of user on the first application platform and the relationship between the name of the user bound by the application database on the first application platform and the account of the user bound by the application database on the second application platform.

Optionally, in step S110, the score of each second type user on the first type user is retrieved from the application database, which is only one optional representation of the historical score of the first type user on the application platform, except that the score of each second type user on the first type user is retrieved from the application database, which may also be implemented by retrieving the historical score average of the first type user from the application database, where the historical score average of the first type user may be the average of the historical scores of all second type users on the first type user.

Optionally, in step S110, determining an account of a second type of user on a second application platform, which is only an optional form of determining an account of a related user corresponding to the first type of user on the second application platform, where the related user may be a user that affects a rating credibility of the first type of user on the first application platform;

it should be noted that the credit of the second type user scoring the first type user may affect the accuracy of the historical score of the first type user, and the credit of the first type user may also affect the accuracy of the historical score of the first type user, so the related users may include: a second type of user that scores the first type of user, or the first type of user.

The method shown in fig. 4 is a case where the relevant user corresponding to the first-class user is the second-class user who scores the first-class user.

Step S120, inquiring credit scores corresponding to the account numbers of the second type users on the second application platform through an open interface of a credit investigation database of the second application platform.

After determining the account numbers of the second type users scored for the first type users in the second application, the server can inquire credit points corresponding to the account numbers of the second type users in the second application platform through an open interface of a credit investigation database of the second application platform.

Optionally, the credit score of the second type of user scoring the first type of user is only an optional form of the credit score of the related user corresponding to the first type of user; step S120 is only that, after determining the account number of the relevant user corresponding to the first class user on the second application platform, the server obtains the selectable form of the credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform;

the credit score of the related user can be the credit score which influences the credibility of the scoring of the first type user on the first application platform; the credit of the scored first type user affects the creditability of the score of the first type user, besides the credit of the scored second type user affects the creditability of the score of the scored first type user; optionally, except for implementing step S120, in the embodiment of the present invention, the credit score of the first type user on the second application platform may be obtained according to the account number of the first type user on the second application platform, so as to achieve the obtaining of the credit score of the relevant user on the second application platform.

Step S130, according to the credit scores of the second-class users, the historical scores of the second-class users on the first-class users are corrected, and the corrected scores of the first-class users corresponding to the second-class users are obtained; and the credit score of the second type of user is in positive correlation with the score of the second type of user after the second type of user corrects the first type of user.

After the credit score of each second type user is obtained, the embodiment of the invention can be corrected for the historical score of each second type user to the first type user; specifically, for each second type user, the historical score of the second type user on the first type user is corrected according to the credit score of the second type user, and the corrected score of the first type user corresponding to the second type user is obtained; therefore, the grade of each second type user to the first type user is corrected in such a way, and the corrected grade of the first type user corresponding to each second type user can be obtained.

Optionally, let r_jHistorical rating of first class users for jth second class users, C_jCredit score for jth second class user, C_maxIf the credit score is the upper limit value of the credit score range, the method for modifying the history score of the jth second-class user to the first-class user according to the credit score of the jth second-class user may be:

optionally, the above modification manner is only optional, and as long as the modification manner that the credit score of the second type of user is in a positive correlation with the score of the second type of user after modification of the first type of user, is satisfied, the embodiments of the present invention are all allowed.

The historical scores of the second type users for the first type users are corrected according to the credit scores of the second type users, the correction meets the credit score of the second type users, the score is in positive correlation with the score of the second type users for the first type users after correction, the higher the credit of the second type users is, the higher the score of the second type users for the first type users after correction is, and on the contrary, the lower the credit of the second type users is, the lower the score of the second type users for the first type users after correction is;

the credit score of the second type of user scoring the first type of user is introduced, so that the confidence level of the score of the first type of user is higher for the second type of user with higher credit score, and the confidence level of the score of the first type of user is lower for the second type of user with lower credit score, thereby improving the accuracy of the modified score of the first type of user by the second type of user, and reducing the influence of malicious score on the score of the first type of user.

Step S140, determining the target score of the first class user according to the modified score of the first class user corresponding to each second class user.

Optionally, the target score of the first type of user may be a score average value of the first type of user after correction; or the calculated numerical value may reflect the final score of the first class user on the application platform based on the modified score of the first class user corresponding to each second class user.

The credit score of the second type of users is introduced into the target score of the first type of users, so that the calculated target score of the first type of users can reflect that the score of the first type of users on the application platform is more accurate and can be used as a scoring basis for sequencing the first type of users; generally, the higher the goal score for a first type of user, the higher the rank of the first type of user.

Optionally, taking the target score as the score average of the first type of user after modification as an example, if n is the number of second type of users who score the first type of user, and H is the score average of the first type of user after modification (an optional manner of the target score of the first type of user), the calculation formula of the score average H of the first type of user after modification may be:

optionally, steps S130 to S140 are only optional ways of adjusting the historical score of the first type user on the first application platform according to the credit score of the relevant user corresponding to the first type user to obtain the target score of the first type user in the embodiment of the present invention.

In addition to the manner shown in steps S130 to S140, in which the credit score of the second type user scoring the first type user is used to correct the historical score of the second type user on the first type user, so as to obtain the target score of the first type user, in the embodiment of the present invention, the credit score of the first type user on the second application platform may also be used to correct the average value of the historical scores of the first type user on the application platform, so as to obtain the target score of the first type user.

And S150, determining the ranking result of the first type of users on the user recommended page according to the target scores of the first type of users.

Optionally, the target score of the first user is in a positive correlation with the ranking of the first type of user on the user recommendation page, that is, the higher the target score of the first user is, the closer the ranking of the first type of user on the user recommendation page is.

And step S160, sending the user recommendation page with the sequencing result to the client.

Fig. 4 shows a processing procedure of determining the ranking of a first type of user on the user recommended page, and if the processing shown in fig. 4 is performed for each first type of user on the user recommended page, the ranking result of each first type of user on the user recommended page can be determined, the user recommended page after the first type of user is accurately ranked can be fed back to the client, and the recommendation accuracy of the user recommended page is improved.

According to the method for displaying the user recommendation page of the shared rental platform, provided by the embodiment of the invention, after the server acquires the information which is sent by the client and requests the user recommendation page of the first type of user, each second type of user which scores for the first type of user can be called out from the application database of the first application platform, the score of the first type of user is obtained, and the credit score of each second type of user is determined according to the account number of each second type of user on the second application platform; therefore, the scores of the second type users for the first type users are corrected according to the credit scores for the second type users, so that the corrected scores of the first type users corresponding to the second type users can reflect the credit degrees of the scored second type users, and the accuracy is high; and then determining the target score of the first type of user according to the modified score of the first type of user corresponding to each second type of user, and determining the sequence of the first type of user on the user recommended page according to the target score of the first type of user, so that the sequence result of the first type of user in the user recommended page has higher accuracy, and the recommendation accuracy of the user recommended page is higher.

According to the method for displaying the user recommendation page of the shared rental platform, the score for determining the first class user ranking is corrected by introducing the credit score of the second class user for scoring the first class user, the target score for determining the first class user ranking is obtained, the ranking of the first class user on the user recommendation page is determined according to the target score, and therefore the accuracy of the ranking result in the user recommendation page and the recommendation accuracy of the user recommendation page can be improved.

The method shown in fig. 4 can be applied to a shared platform for sharing idle resources such as a car renting platform, and taking the shared car renting platform as an example, when a tenant seeking a car rents car screens car owners to be rented, the rank of candidate car owners of a car owner recommendation page can be adjusted by using the method of the embodiment of the invention, so that the rank accuracy of the car owner recommendation page is higher, and the tenant can select car owners with high credit and high score; or when the renters of the rented vehicles are screened by the renter inviting vehicle owners, the ordering of the candidate renters of the tenant recommendation page can be adjusted by using the embodiment of the invention, so that the ordering accuracy of the tenant recommendation page is higher, and the vehicle owners can select the high-credit and high-score tenants; the principle of adjusting the ranking of the owner recommendation page or the tenant recommendation page is the same, and only the schematic of adjusting the ranking of the owner recommendation page by using the embodiment of the invention is described below.

The client sends information requesting an owner recommendation page to a server of the shared car renting platform so as to display the owner recommendation page fed back by the server on an interface of the client;

the server sharing the car renting platform can determine each car owner currently rented on the platform, and the scores of the car owners on the platform are respectively corrected as shown in fig. 6:

determining each tenant scoring the car owner on the shared car renting platform and historical scoring of each tenant on the car owner from the application database;

calling credit scores corresponding to the account numbers of the tenants from a credit assessment database of the SNS platform according to the account numbers of the tenants on the SNS platform to obtain the credit scores of the tenants; the shared car renting platform can access an account of the credit investigation database;

for each tenant, the historical score of the tenant on the car owner is corrected according to the credit score of the tenant, and the score of each tenant on the car owner after correction is obtained;

and taking the average value of the scores of all the renters after the car owners modify the scores to obtain the target scores of the car owners on the shared car renting platform.

And after the score of each vehicle owner on the shared renting platform is corrected by the credit score of the scored renter, the target score of each rented vehicle owner on the shared renting platform is obtained, the ranking of the vehicle owners on the vehicle owner recommendation page is adjusted by the target score of each vehicle owner on the shared renting platform, and the ranking is fed back to the client.

Fig. 7 shows, in the left part, a schematic view of an owner recommendation page ranked only by the score of an owner on a shared rental platform, and fig. 7 shows, in the right part, a schematic view of an owner recommendation page obtained by modifying the score of an owner on the shared rental platform by using the user recommendation page presentation method of the shared rental platform according to the embodiment of the present invention; as can be seen from fig. 7, the score of the car owner 1 on the shared rental platform is high, but after the credit score of the scored renter is corrected, the score of the car owner 1 on the shared rental platform is low, so that it can be analyzed that the credit degree of the renter scoring the car owner 1 is low, the car owner 1 often rents the car to the renter with low credit, but the score of the renter to the car owner 1 is high, the renting behavior of the car owner 1 on the shared rental platform may be abnormal, and the historical renting data of the car owner 1 can be mainly analyzed and monitored.

Optionally, in the process of determining the target score of the first type of user according to the modified score of the first type of user corresponding to each second type of user, the embodiment of the present invention may further combine the average value of the modified score of the first type of user corresponding to each second type of user with the number of times that the first type of user completes the first type of behavior on the first application platform, so that the target score of the first type of user considers the credit score of the second type of user who scores, and also considers the number of times that the first type of user completes the first type of behavior on the first application platform, thereby further improving the accuracy of the obtained target score of the first type of user;

optionally, fig. 8 shows a flowchart of a method for determining a target score of a first type of user, where the method is applicable to a server, and referring to fig. 8, the method may include:

and step S200, determining the times of the first-class behavior completion of the first-class users.

Optionally, the first type of behavior may correspond to a user type of the first type of user, the first type of user completes the first type of behavior once, and the second type of user may perform scoring once for the first type of user; if the first type of user is a user who issues the service, the first type of behavior may be a behavior that the first type of user successfully provides the service, and correspondingly, the number of times that the first type of user completes the first type of behavior may be the number of times that the first type of user successfully provides the service on the application platform; if the first class of users are users subscribing to the service, the first class of behavior may be a behavior that the first user subscribes to the service, and accordingly, the number of times that the first class of users complete the first class of behavior may be the number of times that the first class of users successfully subscribe to the service on the application platform.

Step S210, determining the scoring confidence of the first type of users according to the times; the scoring confidence degree and the times are in positive correlation.

Optionally, since the first type of user completes the first type of behavior once, the second type of user may perform scoring on the first type of user once, so that the number of times that the first type of user completes the first type of behavior on the first application platform reflects the credibility or stability (i.e., confidence) of the score obtained by the first type of user on the first application platform, and if the number of times that the first type of user completes the first type of behavior is more, the credibility or stability of the score obtained by the first type of user on the first application platform is higher;

if the first type of users are users providing services, and the first type of behavior is the number of times that the users providing services successfully provide services, if the user 1 and the user 2 are users providing services on the first application platform, respectively, the level of the user 1 and the user 2 on the first application platform is the same, and the user 1 successfully provides services 500 times, and the user 2 only successfully provides services 3 times, obviously, the confidence level of the score obtained by the user 1 on the first application platform is higher than that of the score obtained by the user 2 on the first application platform;

therefore, according to the embodiment of the invention, the scoring confidence degree of the score obtained by the first type of user on the first application platform can be determined according to the number of times that the first type of user completes the first type of behavior on the first application platform, so that the score of the first type of user after the credit score correction of the second type of user is weighted according to the scoring confidence degree.

Optionally, let α be the confidence score, m be the number of times that the first type of behavior is completed by the first type of user, and m be_maxIn order to apply the platform, the maximum number of times that a single first-class user completes a first-class behavior, ξ and λ are manually set empirical parameters, and then the scoring confidence degree α of the first-class user can be calculated by the following formula:

xi is a disturbance coefficient, so that the situation that the numerator of a formula is maximum or 0 when the number of times that a first type of user completes a first type of behavior is 0 or 1 can be avoided; λ is a case where the confidence of the first class user that prevents the first class behavior from being completed the greatest number of times is greater than 1, and thus λ is greater than 1.

Step S220, determining a modified score average value of the first class user according to the modified score of the first class user corresponding to each second class user.

The modified average value H of the first type of user can be determined by the above corresponding formula.

And step S230, multiplying the scoring confidence coefficient by the scoring mean value to obtain the target score of the first class of users.

Optionally, if the target score of the first type of user is H ', the target score H' of the first type of user may be determined according to the following formula:

H’＝α*H。

obviously, if the average value of the scores of the first-class users after modification is taken as the target score of the first-class users, H ═ H.

After the target scores of the users of the first category are obtained by the method shown in fig. 8, the ranks of the users of the first category may be determined according to the target scores of the users of the first category.

Optionally, in addition to the above description, the credit score of the second type user scoring the first type user represents the credit score of the relevant user corresponding to the first type user, so as to adjust the scoring of the first type user on the first application platform; the credit score of the first class user on the second application platform can be used as the credit score of the relevant user corresponding to the first class user, and the score of the first class user on the first application platform can be adjusted according to the credit score of the first class user.

Fig. 9 is another flowchart illustrating a user recommendation page presentation method for a shared rental platform according to an embodiment of the present invention, where the method is applicable to a server, and referring to fig. 9, the method may include:

and step S300, acquiring information which is sent by the client and requests a user recommendation page of the first type of user.

Alternatively, the first type of user may be a user who publishes a service in the first application platform, or a user who subscribes to a service in the first application platform.

Step S310, calling a historical score average value of the first type of users on the first application platform from an application database of the first application platform.

Optionally, the historical scores of the first type users on the first application platform may be, in addition to the scores of the second type users on the first type users described above, the average value of the historical scores of the first type users on the first application platform shown in fig. 9; namely, the average value of the scores of all the second-class users to the first-class users is counted to obtain the average value.

Correspondingly, the embodiment of the invention can also determine the account number of the first class user in the second application platform.

Step S320, inquiring a credit score corresponding to the account number of the first type user on the second application platform through an open interface of the credit investigation database of the second application platform.

Optionally, the credit score of the first type user is only an optional form of the credit score of the relevant user corresponding to the first type user.

Step S330, the credit score of the first type of user and the historical score mean value of the first type of user are integrated to obtain the target score of the first type of user, and the target score, the credit score of the first type of user and the historical score mean value of the first type of user are in positive correlation.

Optionally, in the process of integrating the credit score of the first type of user and the historical score average value of the first type of user on the first application platform, the score confidence of the first type of user determined according to the number of times that the first type of user completes the first type of behavior may also be considered; the specific determination manner of the scoring confidence level can be described with reference to the corresponding parts above;

optionally, if the number of times that the first-class user completes the first-class behavior is small, the scoring confidence of the first-class user is low, and at this time, the influence ratio of the credit score of the first-class user to the target score can be increased, so that the finally obtained target score has high accuracy;

setting calendar of first class user on first application platformAverage of history score is H_{Are all made of}If the credit of the first class of users is C and α is the score confidence of the first class of users, the target score H' of the first class of users can be calculated by the following formula:

H’＝α*δ*H_{are all made of}+(1-α)*C。

And delta is a parameter manually set according to experience, and is used for enabling the score of the first type of users on the first application platform to be on the same scale with the credit score of the first type of users.

Optionally, in the embodiment of the present invention, a first weighting coefficient of a credit score of the first type of user and a second weighting coefficient of a historical score average of the first type of user may be determined according to the score confidence of the first type of user, a first weighting result is determined according to the first weighting coefficient and the credit score of the first type of user, a second weighting result is determined according to the second weighting coefficient and the historical score average of the first type of user, and then the sum of the first weighting result and the second weighting result is used as the target score of the first type of user; alternatively, the first weighting factor may be 1- α and the second weighting factor may be α; the first weighting result may be (1- α) C, and the second weighting result may be α δ H_{Are all made of}；

Correspondingly, when a second weighting result is determined according to a second weighting coefficient and the historical score average value of the first class of users, setting parameters for maintaining the score of the first class of users on the first application platform and the credit score of the first class of users at the same scale can be obtained, and the second weighting result is determined according to the setting parameters, the second weighting coefficient and the historical score average value of the first class of users; then alpha, delta, H is obtained_{Are all made of}。

The method for determining the target score of the first user is not strictly limited, as long as the determined target score of the first user and the credit score of the first user, the historical score average of the first user and the score confidence of the first user are all in positive correlation.

Optionally, in step S320, only the historical scores of the first type users on the first application platform are adjusted according to the credit scores of the relevant users corresponding to the first type users, so as to obtain an optional manner of the target scores of the first type users; the embodiment of the present invention may also adopt steps S130 to S140 shown in fig. 4 to determine the target score of the first type user.

Step S340, determining the ranking result of the first type of users on the user recommended page according to the target scores of the first type of users.

And step S350, sending the user recommendation page with the sequencing result to the client.

The method shown in fig. 9 can be applied to a shared car rental platform to adjust the ranking of car owners in the car owner recommendation page, or to adjust the ranking of tenants in the tenant recommendation page. Taking the display of the owner recommendation page as an example, after the server of the shared renting platform acquires the information of the request owner recommendation page sent by the application client, each owner currently rented on the shared renting platform can be determined, and the scores of each owner on the shared renting platform are respectively corrected as shown in fig. 10:

determining a historical score average value of an owner and the times of successfully renting the vehicle by the owner from an application database of the shared vehicle renting platform;

calling a credit score corresponding to the account number of the vehicle owner from a credit investigation database of the SNS platform according to the account number of the vehicle owner on the SNS platform to obtain the credit score of the vehicle owner;

calculating the scoring confidence of the vehicle owner in the shared vehicle renting platform according to the times of the vehicle owner successfully renting the vehicle;

determining the target score of the car owner according to the score confidence, the historical score average value of the car owner and the credit score of the car owner; optionally, when determining the target score of the vehicle owner, a set parameter that the score of the vehicle owner on the shared vehicle renting platform and the credit score of the vehicle owner are on the same scale can be considered.

After the score of each vehicle owner on the shared renting platform is corrected according to the credit score and the score confidence coefficient of the vehicle owner, the ranking of the vehicle owners on the vehicle owner recommendation page can be determined according to the target score of the vehicle owners after the target score of each rented vehicle owner on the shared renting platform is obtained, and the vehicle owner recommendation page after the ranking of the vehicle owners is adjusted is fed back to the client.

Fig. 11 shows a schematic diagram of owner recommendation pages only sorted according to scores of owners on a shared rental platform, and fig. 11 shows a schematic diagram of owner recommendation pages obtained by modifying scores of owners on the shared rental platform according to a user recommendation page display method of the shared rental platform provided by an embodiment of the present invention, where as can be seen from fig. 11, scores of owners 1 on the shared rental platform are higher, but scores of owners 1, which are modified by credit scores of the owners, decrease scores of owners 1 on the shared rental platform are reduced, so that it can be analyzed that personal credits of owners 1 are lower, and it can remind tenants 1 of better service in the rental field, but more consideration is required when cooperating with owners 1 for other services.

Optionally, in the embodiment of the present invention, the rank of the recommended page of the first type user in the user may be directly adjusted according to the credit score of the first type user in the second application platform.

To sum up, when the client requests the user to recommend the page, the embodiment of the invention provides at least three ways:

firstly, directly determining the ranking of a first class of users on a user recommendation page according to the credit score of the first class of users, and feeding back the user recommendation page after ranking adjustment to a client;

modifying the score of the first type of users on the first application platform according to the credit score of the second type of users, determining the sequence of the first type of users on the user recommendation page according to the modified score, and feeding back the user recommendation page with the adjusted sequence to the client; the method shown in FIG. 3;

thirdly, integrating the credit score of the first type of users with the historical score average of the first type of users on the first application platform, determining the ranking of the first type of users on the user recommendation page according to the integrated score, and feeding back the user recommendation page after the ranking adjustment to the client; as shown in the method of fig. 9.

Correspondingly, if the server receives information which is sent by the client and requests a first user recommendation page of a first type of users, the server can determine the sequencing of the first type of users according to the credit score (corresponding to the first mode) of the first type of users on the second application platform, and returns the first user recommendation page with the sequencing result;

if the server receives information which is sent by the client and requests a second user recommendation page of the first type of user, the server can correct the historical scores of the first type of user on the first application platform according to the credit score of the second type of user on the second application platform, which scores the first type of user, determines the sequence of the first type of user according to the corrected scores, and returns the second user recommendation page with the sequence result;

if the server receives the information which is sent by the client and requests the third user recommendation page of the first type of users, the credit score of the first type of users on the second application platform can be integrated with the historical score average value of the first type of users on the first application platform (corresponding to the third mode), the ranking of the first type of users is determined according to the integrated score, and the third user recommendation page with the ranking result is returned.

Correspondingly, as shown in fig. 12, when the user selects the user recommendation page, an option of sorting the users in the three ways may be provided, and after the user sorts the user recommendation planes in different sorting ways, the user ranks displayed by the user recommendation planes may be different.

According to the method for displaying the user recommendation page of the shared rental platform, provided by the embodiment of the invention, after the information of requesting the user recommendation page of the first type of user, sent by the client, is obtained, the credit score of the relevant user on the second application platform is obtained according to the account number of the relevant user influencing the rating credibility of the first type of user on the first application platform; therefore, the historical scores determining the ranking of the first class users on the user recommended pages are corrected according to the credit scores of the related users, the target scores determining the ranking of the first class users on the user recommended pages are obtained, the credibility of the target scores of the first class users can be improved, the ranking of the first class users on the user recommended pages is determined according to the target scores, the ranking accuracy of the user recommended pages can be improved, and the recommendation accuracy of the user recommended pages is improved.

In the following, the user recommended page display apparatus of the shared rental platform provided by the embodiment of the present invention is introduced, and the user recommended page display apparatus of the shared rental platform described below may be regarded as a functional module architecture that is required to be set by a server to implement the user recommended page display method of the shared rental platform provided by the embodiment of the present invention.

Fig. 13 is a block diagram illustrating an apparatus for displaying a user recommendation page of a shared rental platform according to an embodiment of the present invention, where the apparatus is applicable to a server, and referring to fig. 13, the apparatus may include:

a request obtaining module 100, configured to obtain information, sent by a client, requesting a user recommendation page of a first type of user; the user recommendation page displays at least one first type of user with a first application platform;

the score calling module 200 is used for calling the historical scores of the first class users on the first application platform from the application database of the first application platform;

a related user account determining module 300, configured to determine an account of a related user corresponding to the first class of user in a second application platform; the first application platform accesses an account of the second application platform; the related users are users influencing the rating credibility of the first class of users on the first application platform;

a credit score obtaining module 400, configured to obtain a credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform; the credit score of the related user is the credit score which influences the rating credibility of the first class of users on the first application platform;

the score adjusting module 500 is configured to adjust the historical score of the first type of user on the first application platform according to the credit score of the relevant user, so as to obtain a target score of the first type of user;

a ranking determining module 600, configured to determine, according to the target score of the first type of user, a ranking result of the first type of user on the user recommendation page;

a page feedback module 700, configured to send the user recommendation page with the sorting result to the client.

Optionally, the relevant users include: a second type of user that scores the first type of user, or the first type of user.

Optionally, if the relevant user includes: a second class of users scoring the first class of users; the score retrieving module 200 is configured to retrieve, from the application database of the first application platform, a historical score of the first type of user on the first application platform, and specifically includes:

calling out historical scoring records of the first type of users from the application database according to accounts of the first type of users on a second application platform; the historical scoring records record user identifications of all second-class users scoring the first-class users and scores of all second-class users scoring the first-class users.

Correspondingly, the related user account determining module 300 is configured to determine an account of the related user corresponding to the first class of user on the second application platform, and specifically includes:

if the user identification of the second type of user is the account number of the second type of user on the second application platform, determining the account number of each second type of user on the second application platform according to the user identification of each second type of user recorded by the historical scoring record of the first type of user;

or if the user identification of the second type of user is the name of the second type of user on the first application platform, calling the account number of the second type of user on the second application platform from the application database according to the name of the second type of user on the first application platform, wherein the name of the user on the first application platform and the relationship of the account number on the second application platform are bound in the application database.

Optionally, the credit score obtaining module 400 is configured to obtain the credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform, and specifically includes:

and inquiring credit points corresponding to the account numbers of the second type users on the second application platform through an open interface of a credit investigation database of the second application platform.

Optionally, the score adjusting module 500 is configured to adjust the historical score of the first type of user on the first application platform according to the credit score of the relevant user, so as to obtain the target score of the first type of user, and specifically includes:

modifying the scores of the second users to the first users respectively according to the credit scores of the second users to obtain the modified scores of the first users corresponding to the second users; the credit score of the second type of user is in positive correlation with the score of the second type of user after the second type of user corrects the first type of user;

and determining the target score of the first class of users according to the modified score of the first class of users corresponding to the second class of users.

Optionally, the score adjusting module 500 is configured to determine the target score of the first type of user according to the score of the first type of user corrected corresponding to each second type of user, and specifically includes:

determining the times of completing the first type of behaviors of the first type of users;

determining the scoring confidence of the first class of users according to the times; the scoring confidence coefficient and the times are in positive correlation;

determining a modified score average value of the first class of users according to the modified scores of the first class of users corresponding to the second class of users;

and multiplying the scoring confidence coefficient by the scoring mean value to obtain the target score of the first class of users.

Optionally, if the relevant user includes: the first class of users; the score retrieving module 200 is configured to retrieve, from the application database of the first application platform, a historical score of the first type of user on the first application platform, and specifically includes:

and calling a historical score average value of the first class of users in the first application platform from the application database.

Optionally, the relevant user account determining module 300 is configured to determine an account of the relevant user corresponding to the first class of user in the second application platform, and specifically includes:

and determining accounts of the first class of users in a second application platform.

and inquiring credit points corresponding to the account numbers of the first class users on the second application platform through an open interface of a credit investigation database of the second application platform.

integrating the credit score of the first type of user with the historical score average value of the first type of user to obtain the target score of the first type of user; the target score and the credit score of the first type of users and the historical score mean of the first type of users are in positive correlation.

Optionally, the score adjusting module 500 is configured to combine the credit score of the first type of user with the historical score average of the first type of user to obtain the target score of the first type of user, and specifically includes:

determining a first weighting coefficient of the credit score of the first class of users and a second weighting coefficient of the historical score mean value of the first class of users according to the score confidence;

determining a first weighting result according to the first weighting coefficient and the credit score of the first class of users, and determining a second weighting result according to the second weighting coefficient and the historical score average of the first class of users;

and taking the sum of the first weighted result and the second weighted result as the target score of the first class of users.

Optionally, the score adjusting module 500 is configured to determine a second weighting result according to the second weighting coefficient and the historical score average of the first class of users, and specifically includes:

acquiring a set parameter for maintaining the score of the first type of users on the first application platform and the credit of the first type of users at the same scale;

and determining a second weighting result according to the set parameters, the second weighting coefficient and the historical score average of the first class of users.

Optionally, the user recommended page display device for sharing the rental platform in the embodiment of the present invention may also feed back, according to different requests of the client, a recommended page recommended by the user in a non-sorting manner to the client, and accordingly, the user recommended page display device may be further configured to:

receiving information of a first user recommendation page requesting a first class of users, determining the ranking of the first class of users according to the credit score of the first class of users on the second application platform, and returning the first user recommendation page with the ranking result;

receiving information of requesting a second user recommendation page of a first type of users, correcting the historical scores of the first type of users on a first application platform according to the credit scores of the second type of users on the second application platform, determining the sequence of the first type of users according to the corrected scores, and returning the second user recommendation page with the sequence result;

receiving information of requesting a third user recommendation page of the first class of users, integrating credit scores of the first class of users on the second application platform with historical score average values of the first class of users on the first application platform, determining the ranking of the first class of users according to the integrated scores, and returning the third user recommendation page with the ranking result.

The server provided by the embodiment of the invention can acquire the credit score of the related user on the second application platform according to the account number of the related user influencing the rating credibility of the first type user on the first application platform and on the second application platform after acquiring the information of requesting the user recommendation page of the first type user sent by the client; therefore, the historical scores determining the ranking of the first class users on the user recommended pages are corrected according to the credit scores of the related users, the target scores determining the ranking of the first class users on the user recommended pages are obtained, the credibility of the target scores of the first class users can be improved, the ranking of the first class users on the user recommended pages is determined according to the target scores, the ranking accuracy of the user recommended pages can be improved, and the recommendation accuracy of the user recommended pages is improved.

The embodiment of the invention also provides a server which can comprise the user recommendation page display device of the shared rental platform.

Alternatively, fig. 14 shows a hardware configuration block diagram of a server, and referring to fig. 14, the server may include: a processor 1, a communication interface 2, a memory 3 and a communication bus 4;

wherein, the processor 1, the communication interface 2 and the memory 3 complete the communication with each other through the communication bus 4;

optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

the processor 1 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention.

The memory 3 may comprise a high-speed RAM memory and may also comprise a non-volatile memory, such as at least one disk memory.

Wherein, the processor 1 is specifically configured to:

and sending the user recommendation page with the sequencing result to the client. .

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A user recommendation page display method of a shared rental platform is characterized by comprising the following steps:

calling historical scores of the first type of users on the first application platform from an application database of the first application platform; determining the account number of the related user corresponding to the first class of user on a second application platform; the first application platform accesses an account of the second application platform; the related users are users influencing the rating credibility of the first class of users on the first application platform; the related users comprise: a second type of user scoring a first type of user, or the first type of user;

sending a user recommendation page with the sorting result to the client;

wherein, if the related users include: the first class of users;

the calling the historical scores of the first class of users on the first application platform from the application database of the first application platform comprises:

calling a historical score average value of the first class of users on the first application platform from the application database;

the determining the account number of the relevant user corresponding to the first class of user in the second application platform includes:

determining accounts of the first class of users on a second application platform;

the obtaining the credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform comprises:

inquiring credit scores corresponding to the account numbers of the first class users on the second application platform through an open interface of a credit investigation database of the second application platform;

the adjusting the historical scores of the first type users on the first application platform according to the credit scores of the related users to obtain the target scores of the first type users comprises:

taking the sum of the first weighting result and the second weighting result as the target score of the first class of users; the target score and the credit score of the first type of users and the historical score mean of the first type of users are in positive correlation.

2. The method for displaying the user recommendation page of the shared rental platform of claim 1, wherein if the related users comprise: a second class of users scoring the first class of users; the calling the historical scores of the first class of users on the first application platform from the application database of the first application platform comprises:

calling out historical scoring records of the first type of users from the application database according to accounts of the first type of users on a second application platform; the historical scoring records record user identifications of all second users scoring the first type of users and scores of all second users scoring the first type of users;

3. The method for displaying the user recommendation page of the shared rental platform of claim 2, wherein the step of obtaining the credit score of the related user on the second application platform according to the account number of the related user on the second application platform comprises:

inquiring credit scores corresponding to the account numbers of the second type users on the second application platform through an open interface of a credit investigation database of the second application platform;

4. The method for displaying the user recommendation page of the shared rental platform of claim 2 or 3, wherein the determining the target score of the first type of user according to the modified score of the first type of user corresponding to each second type of user comprises:

5. The method for displaying the user recommendation page of the shared rental platform of claim 1, wherein the determining the second weighting result according to the second weighting coefficient and the historical score average of the first class of users comprises:

6. The method for displaying the user recommendation page of the shared rental platform of claim 1, further comprising:

or receiving information requesting a second user recommendation page of the first type of users, correcting the historical scores of the first type of users on the first application platform according to the credit scores of the second type of users on the second application platform, determining the sequence of the first type of users according to the corrected scores, and returning the second user recommendation page with the sequence result;

or receiving information requesting a third user recommendation page of the first class of users, integrating credit scores of the first class of users on the second application platform with historical score average values of the first class of users on the first application platform, determining the ranking of the first class of users according to the integrated scores, and returning the third user recommendation page with the ranking result.

7. A user recommendation page display device for sharing a rental platform is characterized by comprising:

the related user account determining module is used for determining the account of the related user corresponding to the first class of user on the second application platform; the first application platform accesses an account of the second application platform; the related users are users influencing the rating credibility of the first class of users on the first application platform; the related users comprise: a second class of users scoring the first class of users;

the page feedback module is used for sending the user recommendation page with the sequencing result to the client;

wherein, if the related users include: the first class of users; the score retrieving module is configured to retrieve, from an application database of the first application platform, a historical score of the first type of user on the first application platform, and specifically includes:

the credit score obtaining module is configured to obtain a credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform, and specifically includes:

the score adjusting module is configured to adjust the historical score of the first type of user on the first application platform according to the credit score of the relevant user, so as to obtain a target score of the first type of user, and specifically includes:

8. The device for displaying the user recommendation page of the shared rental platform of claim 7, wherein if the related users comprise: a second class of users scoring the first class of users; the score retrieving module is configured to retrieve, from an application database of the first application platform, a historical score of the first type of user on the first application platform, and specifically includes:

a credit score obtaining module, configured to obtain a credit score of the relevant user on the second application platform according to the account number of the relevant user on the second application platform, where the credit score obtaining module specifically includes:

9. A server, characterized by comprising the user recommendation page presentation apparatus of the shared rental platform of any one of claims 7 to 8.