CN111159540B

CN111159540B - Data processing method and device

Info

Publication number: CN111159540B
Application number: CN201911254694.0A
Authority: CN
Inventors: 那彦琳
Original assignee: Individual
Current assignee: Individual
Priority date: 2015-09-16
Filing date: 2015-09-16
Publication date: 2024-03-08
Anticipated expiration: 2035-09-16
Also published as: CN105183867B; CN111159540A; CN105183867A

Abstract

The embodiment of the invention provides a data processing method and device. Aiming at the problem of waste of data processing resources and network transmission resources caused by error data, the method provided by the embodiment of the invention selectively searches the associated user with the association relation with the first user, and processes the target data by utilizing the additional information added by the associated user to the target data, thereby forming the target data with the additional information added by the associated user. The additional information in the target data is only added by the associated user, and the associated relation between the associated user and the first user ensures the authenticity and the accuracy of the added data, so that the overall accuracy of the target data is ensured, and the problems in data processing and data transmission caused by data distortion can be effectively avoided. The embodiment of the invention also provides a corresponding device.

Description

Data processing method and device

The present application is a divisional application based on patent application having an application date of 2015, 9, 16, patent application number 201510586712.0 and the invention name "data processing method and apparatus".

Technical Field

The present invention relates to the field of data processing, and in particular, to a data processing method and apparatus.

Background

Currently, computer and network technologies have come into full use in people's daily lives, where large amounts of data are processed and transmitted by means of networks. In this process, it is necessary to ensure that the data itself is accurate. But not repudiation, many data are inaccurate or even erroneous. In particular, when editing of the content of the data and further adding of additional information are possible, the possibility that such editing and adding causes distortion of the data is further improved, so that the accuracy of the data cannot be effectively ensured.

If the accuracy of the data cannot be guaranteed, the processing and transmission of the error data cannot realize the expected functions, so that new data processing and transmission processes are required to be performed, which causes waste of data processing resources and network transmission resources.

Disclosure of Invention

Accordingly, an object of the embodiments of the present invention is to provide a data processing method and apparatus, so as to ensure accuracy of data, and further reduce waste of data processing resources and transmission resources.

The first method embodiment of the invention provides a data processing method, which comprises the following steps:

determining an associated user of the first user; the method comprises the steps that an associated user of a first user is a user with an associated relation with the first user, and the associated user is determined by referring to the credibility of the user;

forming target data with additional information added by the associated user;

in a first method embodiment of the present invention, the reliability of the associated user of the first user is the reliability set by the first user for the associated user or the reliability set by other users for the associated user; the credibility of the associated user is adjustable credibility.

And for the users with the credibility exceeding the credibility threshold and having an association relationship with the first user, determining the users as the associated users of the first user, and for the users with the credibility lower than the credibility threshold, not determining the users as the associated users of the first user.

In a first method embodiment of the present invention, the method further comprises:

and displaying the target data with the additional information added by the association relation user on the terminal of the first user.

In a first embodiment of the present invention, the forming the target data with the additional information added by the associated user includes:

and taking the user information of the associated user on the data platform as a screening condition, and screening the target data of the additional information added by each user to obtain the target data with the additional information added by the associated user.

In a first method embodiment of the present invention, the associated user of the first user includes:

and the association relation level with the first user is within a preset association relation level range.

and correspondingly adjusting at least one of the credibility of the associated user, the weight value of the associated user in the data platform and the data of the associated user in the data platform based on the evaluation operation of the first user on the additional information in the target data.

Wherein the evaluation operation is a positive or negative evaluation of additional information added by the first user to an associated user;

the adjusting includes:

and correspondingly adjusting at least one of the credibility of the associated user, the weight value of the data platform and the data of the associated user in the data platform.

Wherein the evaluation operation is additional information added by the first user to the target data;

the adjusting includes: and respectively adjusting at least one of the credibility of different associated users, the weight value of the data platform and the data of the associated users in the data platform according to the degree of differentiation of the additional information added by the associated users and the additional information added by the first user to the target data.

The evaluation operation is the evaluation condition of the summarized additional information of the target data by the first user;

the adjusting includes: and respectively adjusting at least one of the credibility of different associated users, the weight value of the data platform and the data of the associated users in the data platform according to the evaluation condition of the summarized additional information.

The second method embodiment of the invention provides a data processing method, which comprises the following steps:

the association relation platform receives user information of a first user on the data platform;

the association relation platform determines the user information of the first user in the association relation platform according to the corresponding relation of the user information between the data platform and the association relation platform; the method comprises the steps that an associated user of a first user is a user with an associated relation with the first user, and the associated user is determined by referring to the credibility of the user;

The association relation platform searches and obtains the user information of the association user of the first user in the association relation platform based on the user information of the first user in the association relation platform according to the association relation among the users in the platform;

and the association relation platform determines the user information of the association user of the first user on the data platform according to the corresponding relation of the user information between the data platform and the association relation platform and provides the user information for the equipment requesting the information, so that the equipment forms target data with the additional information added by the association user.

The first device embodiment of the present invention provides a data processing device, including:

a determination unit: determining an associated user of the first user; the method comprises the steps that a first user and a second user are connected, wherein the first user is a user with an association relationship with the first user, and the association user of the first user is determined by referring to the credibility of the user;

a data generation unit: for forming target data with additional information added by the associated user;

the credibility of the associated user of the first user is the credibility set by the first user on the associated user or the credibility set by other users on the associated user; the credibility of the associated user is adjustable credibility.

The embodiment of the invention also provides a data processing system, which comprises:

the system comprises a data platform and an association relation platform, wherein the data platform and the association relation platform communicate through a network, and the association relation platform comprises:

the data platform is used for:

determining the user information of the associated user of the first user on a data platform according to the association relation between the first user and other users; the method comprises the steps that an associated user of a first user is a user with an association relation with the first user and is determined by referring to the credibility of the user, wherein the credibility is the credibility set by the first user for the associated user or the credibility set by other users for the associated user, and the credibility is adjustable credibility; the data platform stores data and additional information added for the data;

performing additional information processing on the target data based on user information of the associated user of the first user to form target data with additional information added by part or all of the associated user;

the association relation platform is used for storing association relations among users.

In the embodiment of the invention, the associated user of the first user is determined, and target data with additional information added by the associated user is formed. Because the correlation relationship exists between the correlation user and the first user, the formed target data has better accuracy, and even the target data can be more targeted. Under the condition of accurate data, the problems of repeated calculation and repeated transmission caused by inaccurate data can be avoided, the data processing burden is reduced, and the data transmission quantity is saved.

Drawings

FIG. 1 is a flow chart of a method embodiment of the present invention;

FIG. 2 is a flow chart of an embodiment of a method of the present invention in scenario one;

FIG. 3 is a flow chart of an embodiment of the method of the present invention in scenario four;

FIG. 4 is a flowchart of a method embodiment of the present invention in scenario two;

FIG. 5 is a flow chart of an embodiment of the method of the present invention in scenario three;

FIG. 6 is a flow chart of a method according to another embodiment of the present invention;

Detailed Description

In order to make the present invention better understood by those skilled in the art, examples of the present invention will be described in further detail with reference to the accompanying drawings and embodiments.

Currently, people realize functions such as online transaction, content search, address navigation and the like by means of various data, and in the process of realizing the functions, data with the highest accuracy is needed, and inaccurate or erroneous data can produce the result that the function is not completely realized or the function cannot be realized to the expected purpose.

The invention provides a data processing method, which processes the data by adopting or only adopting trusted information in the data processing process, thereby ensuring the accuracy of the data. Wherein the trusted information refers to information generated by a user having an association relationship with the current user, and the existence of the association relationship ensures that the information is real and responsible, so that the accuracy of data is ensured.

Referring to fig. 1, in an embodiment of the present invention, a method for implementing data processing includes the following steps:

step 101: determining target data of a first user, and obtaining user information of the associated user of the first user on a data platform according to the association relationship between the first user and other users; the data platform stores data and additional information added for the data;

in step 101, determining the target data of the first user may be implemented in a number of ways as follows.

For example, the target data may be determined for a first user after the user is logged in. In particular, the target data may be determined based on, for example, a query request of a first user in the event that the first user is logging into a website or system; of course, the target data may be determined without user login, and then the user performs the first user login operation, so as to determine the target data for the first user;

For another example, the target data may be determined by searching in response to the query request, and of course, the target data may be determined by a shopping website platform as a data platform by some manner, for example, by some rule and algorithm; for example, the shopping website platform may determine related commodities according to commodity sales heat or recommendation rules, and the data corresponding to the commodities is used as the target data;

for another example, the target data may be target data corresponding to one object determined from a plurality of target objects based on the selection operation. For example, the shopping website platform may determine one commodity from a plurality of commodities as the target commodity based on a selection operation of the user, and use data of the target commodity as the target data.

The above-mentioned various ways of obtaining the target data may be implemented separately or in combination, and do not affect the implementation of the embodiments of the present invention.

In step 101, for the specific implementation process of obtaining the user information of the associated user of the first user on the data platform, various ways may be implemented respectively for the following different situations.

1. Case one: and the data platform stores the association relation among users.

In the first case, the user information of the associated user of the first user on the data platform can be obtained directly based on the association relationship stored in the data platform by utilizing the user information of the first user on the platform;

for example, a shopping website may further provide a function of setting an association relationship such as a friend relationship between users on the basis of providing a shopping function. In the shopping website platform, the friend relation among different users on the shopping website is stored, so that the user information of friends of the first user can be obtained directly in a system of the shopping website based on the user information of the first user.

2. And a second case: the data platform and the platform for storing the association relationship (hereinafter referred to as association relationship platform) are two different platforms.

For case two, we can refer to a cross-platform case. For example, the cross-platform situation may be: the data platform is a shopping website platform, the shopping website platform does not have the association relationship among users, the association relationship platform is a social network platform similar to an insolgram such as QQ and WeChat, and the association relationship among different users such as friends is stored in the social network platform.

For the cross-platform situation, because the data platform does not have the association relationship between users, in order to obtain the user information of the associated user of the first user in the association relationship platform, the association relationship platform and the corresponding relationship of the user information between the data platform can be used. By utilizing the corresponding relation, the user information of the first user in the association relation platform can be determined and obtained based on the user information of the first user in the data platform, the user information of the first user in the association relation platform is searched and obtained according to the user information, and the user information of the association user in the data platform is determined by utilizing the corresponding relation.

The corresponding relationship may be a corresponding relationship established in advance between the association relationship platform and the data platform, or may be a corresponding relationship determined based on a network address, for example, an IP address, or may be a corresponding relationship established based on a third party platform, for example, a payment platform; the corresponding relation obtained based on the connection between the platforms can also be as follows:

(1) Pre-establishing a corresponding relation: aiming at the cross-platform situation, a corresponding relation of user information of the same user between a data platform and an association relation platform can be pre-established and stored, after the first user logs in the data platform, the user information of the first user on the association relation platform is searched and obtained based on the corresponding relation, the user information of the association user with the association relation such as friends with the first user is searched and obtained by utilizing the user information on the association relation platform, and then the user information of the association user on the data platform is searched and obtained based on the user information of the association user according to the corresponding relation;

For example, the data platform may be a shopping website platform such as a panda, where the shopping website platform does not have an association relationship between users, and the association relationship platform may be a payment tool platform such as a payment panda, where association relationships such as friends between different users are stored, where the association relationship may be established based on transfer or payment actions between users, or may be established by selecting an association relationship established by a user through operations such as inquiry. After shopping on the shopping platform, the payment tool platform is required to be called to complete payment, and the two operations are required to be performed by adopting the user name login platform, so that a user can register the user name of the shopping website and register the user information of the user on the payment tool platform when the shopping website is registered, and the corresponding relation between the user information of the shopping website platform and the user information of the payment tool platform can be pre-established and recorded based on the user information of the shopping website platform and the user information of the payment tool platform provided by the user in the registration process.

(2) Based on the same network address used by the same user in logging in the data platform and the association platform, determining the corresponding relation of user information between the data platform and the association platform: in some cases, when a user logs in the association relation platform and the data platform, the IP address of the terminal of the user is the same IP address, and based on the same IP address, it can be determined that the user information adopted when the user logs in the association relation platform and the user information adopted when the user logs in the data platform are corresponding to the same user, so that the corresponding relation between the two user information can be determined. For example, the user uses the same terminal to log in the amazon website and the instagram (a social network platform abroad), and since the IP addresses of the terminals when logging in the two platforms are the same, the correspondence between the user information of logging in the amazon website and the user information when logging in the instagram can be determined.

(3) And determining the corresponding relation based on the record of the operation behaviors of the third-party platform to the user. And for the same user, logging in the third party platform by using the user identification of the same third party platform to realize the function provided by the third party platform. The recording of the operation behavior of the third party platform for the user comprises the following steps: the user information of the user on the data platform and the user identification of the used third party platform when the user uses the function provided by the third party platform through the data platform, and the user information of the user on the association relation platform and the user identification of the used third party platform when the user uses the function provided by the third party platform through the association relation platform.

Specifically, the third party platform may be a third party payment platform, the record of the operation behavior of the user may be a record of the payment behavior of the user using the third party payment platform, and the user identification of the third party platform is a payment user name or a bank card number. The correspondence may be constructed based on a record of the third party paymate. For example, the payment habit of the user determines that the same user is likely to pay by using the same payment method even in different platforms, and information such as a payment user name or a card number is input during the payment process. Under the condition that users pay by using the same payment method and the same payment user name or card number on different platforms, the same user can be determined based on the same payment user name or card number, and different user information adopted for logging in on different platforms corresponds to the same user, so that the corresponding relation among the user information of different platforms can be established. For example, after a user purchases a website in the genie website (a shopping website in china), the user may select a payment method of a payment device (a payment tool in china) to make payment, and in the process of using a microblog (a social tool in china), the user may also use the payment device to make payment, based on the same payment information adopted in the process of using the payment device by the user, a correspondence between the user information on the genie website and the user information on the microblog may be established.

Alternatively, the user makes a purchase in naughty (a shopping site in china) and selects a bank card (debit card or credit card) to pay, and in the social tool of WeChat, the same bank card is also used to pay, and based on the same bank card information, a correspondence between the user information registered in naughty and the user information registered in WeChat can be established.

(4) Based on the corresponding relation obtained by the contact operation of the same user between different platforms. After logging in one of the data platform and the association relation platform based on the same user, in the process that the platform uses the function provided by the other of the data platform and the association relation platform, the corresponding relation of the recorded user information between the data platform and the association relation platform; wherein the use of the functionality provided by the further platform requires logging in at the platform.

The association platform and the data platform can respectively provide different functions, and if one platform utilizes the functions provided by the other platform and the functions can be realized only under the condition of logging in the platform, we can consider that the two platforms have a connection. For example, when the data platform makes a payment, the payment method provided by the association relationship platform is adopted, and then the two platforms can be associated.

Under the condition of the contact, for the user who utilizes the contact, the corresponding relation between the user information among the platforms is generated in the process of utilizing the contact among the platforms, and the corresponding relation can be recorded as the corresponding relation between the data platform and the user information of the association relation platform.

For example, a shopping website (for example, jindong or a newly established shopping website) provides or recommends using WeChat payment in WeChat as a payment mode, and when a user makes shopping on the shopping website and adopts WeChat payment, the user can establish a corresponding relationship between user information logged in the shopping website and user information logged in on the WeChat through the payment process. After the corresponding relation is recorded, the corresponding relation established based on the previous payment action of the first user can be used for determining and obtaining login information such as the user name corresponding to the first user on the WeChat through the user name of the first user on the shopping website, further, the user information of friends of the first user on the WeChat can be determined according to the user name of the first user on the WeChat, and under the condition that the friends (all friends or part of friends) also make shopping on the shopping website and pay through the WeChat, the login information such as the user name of the friends on the shopping website can be determined based on the corresponding relation between the user information established by the previous payment action of the friends.

For another example, the data platform may be a shopping website platform such as a panda, where the shopping website platform does not have an association relationship between users, and the association relationship platform may be a payment tool platform such as a payment treasury, where association relationships between different users such as friends are stored, where the association relationship may be established based on transfer or payment actions between users, or may be established by selecting an association relationship established by a user through operations such as inquiry. After shopping on the shopping platform, the payment tool platform is required to be called to complete payment, and the two operations can be performed by adopting the user name login platform, so that the two platforms have an association relationship based on the calling of the shopping website platform to the payment function of the payment tool platform. By means of this association, the correspondence between the two platform user information can be determined. Specifically, after the shopping website selects the commodity, the user can enter the payment tool platform, and input the user name of the payment tool platform so as to log in the payment tool platform, and the shopping website platform or the payment tool platform can obtain and record the corresponding relation between the shopping website platform and the user information of the payment tool platform of the same user based on the user name of the shopping website platform and the user name of the payment platform which are input in the payment process of the user.

3. And a third case: the data platform and the association relation platform are two different platforms, but the login information of the same user logging in the two platforms is consistent.

The scenario corresponding to case three is a scenario of cross-platform login. In a cross-platform login scenario, user information adopted by a user when logging in the data platform and the association platform is consistent, that is, user information of a user on the data platform and the association platform is consistent. Based on the user information of the first user (the user information of the first user on the data platform or the user information of the first user on the association platform), the user information of the associated user of the first user on the association platform can be obtained according to the association relationship among the users on the association platform, that is, the user information of the associated user of the first user on the data platform is obtained.

In the third case, one possibility is that the data platform provides a cross-platform login function, that is, the data platform provides a function of logging in the data platform based on the user information of the association relation platform; another possibility is that the association platform provides a cross-platform login function, i.e. the association platform provides a function of logging in the association platform based on the user information of the data platform. In either possibility, for a user logging in across platforms, the same login information is adopted for both the association relationship platform and the data platform to log in, so that the user information of the same user on the two platforms is consistent. After the user information of the first user on the data platform is determined, the user information of the first user on the association relation platform can be determined according to the association relation between the users provided by the association relation platform by utilizing the user information, and for the first user who logs in the data platform and the association relation platform by adopting the same user information, namely, the user information of the first user on the data platform is determined.

For example, the data platform may be a shopping website such as amazon, and the association platform may be a social network platform such as WeChat. The Amazon website provides a login function based on user information of other platforms, and a user can login the Amazon website by adopting WeChat user information. Under the condition that the first user logs in the Amazon website by adopting the user information of the WeChat, the user information of friends of the first user in the WeChat can be searched and obtained based on the user information of the WeChat adopted when the first user logs in the Amazon. And the friends who log in the Amazon website by WeChat are also adopted by the friends, and the user information of the friends in WeChat is the user information on the Amazon website.

For another example, for the jingdong WeChat shopping service, after the user logs in the WeChat, the user can log in the jingdong through the shopping function provided by the WeChat, so as to realize shopping by means of the WeChat platform. In the process of logging in the Beijing east, the user information of the user login WeChat is adopted, so that the user information on the data platform (the Beijing east) and the user information on the association relation platform (the WeChat) are consistent for the user. Under the condition that the first user logs in the Jingdong through the WeChat, the user information of the first user on the WeChat can be utilized to determine and obtain the user information of friends of the first user on the WeChat according to the friend relation among the users on the WeChat, and the friends of the WeChat are also logged in the Jingdong through the WeChat, namely the user information of the friends in the WeChat is the user information on the Jingdong.

4. The four-case data platform is a data platform with the function of an association relation platform

For the fourth case, the functions of the data platform and the association relation platform are simultaneously implemented on one platform, and for the platform, we can refer to as a data platform with the function of the association relation platform. On a data platform with the function of an association relation platform, a user logs in the platform by using user information. For a user, the user information utilized when using the data service function and the relationship function on the platform is consistent. Therefore, the user information of the associated user of the first user on the platform can be obtained according to the user information of the first user on the platform by utilizing the association relation among the users stored in the platform, namely, the user information of the associated user of the first user on the data platform is obtained.

Specifically, the data platform with the function of the association relation platform can be a function of further providing the association relation platform on the basis of the data platform; for example, the method can further provide the setting of the association relationship such as friends among users on the basis of the Beijing east shopping website platform, and perform social functions such as friends and friend circle sharing based on the association relationship, wherein the Beijing east shopping website platform is the data platform with the association relationship platform function;

More specifically, the data platform with the function of the association relation platform can also be an association relation platform with the function of the data platform further added on the basis of the association relation platform, and the data platform can be realized by adopting a mode of further adding the function of the data platform on the basis of the association relation platform. The association platform is a data platform in nature because of the function of the data platform although the association platform is still the association platform in terms of the name; for example, the shopping function can be further provided on the basis of the WeChat platform, and corresponding commodity data can be provided on the WeChat platform, and at this time, the WeChat platform has the data platform function provided by the shopping platform. In terms of technical essence, the WeChat platform is also a data platform, more precisely, a data platform with the function of an association relation platform.

Step 102: and carrying out additional information processing on the target data based on the user information of the associated user of the first user on a data platform to form the target data with the additional information added by part or all of the associated user.

Specifically, the processing of the additional information in step 102 may be implemented by adding additional information to the target data having only the basic information, or may be implemented by filtering the additional information to the target data having a plurality of additional information. The following are examples.

1. Step 102 is implemented in a manner that additional information is added:

based on the user information of the associated user of the first user on the data platform, additional information added by the associated user to the target data can be searched and obtained, and the additional information is added to the target data only with basic information, so that the target data with the additional information added by the associated user can be generated. For example, for the determined target commodity, the obtained evaluation information of the first user related to the commodity may be added on the basis of the commodity basic information in the target commodity, so as to form target commodity data only including the evaluation information of the first user related to the user.

The searching of the additional information added by the associated user to the target data can be realized in various modes:

for example, the attachment information added by each associated user for different target data can be obtained according to the user information of the associated user on the data platform, and then the target data is used as a screening condition, and the additional information added by the associated user for the target data is obtained through screening; or, the target data is used as a search condition to obtain each piece of additional information added for the target data, and then the user information of the associated user on the data platform is used as a screening condition to screen and obtain the additional information added for the target data by the associated user from the additional information; of course, the target data and the user information of the associated user may be used as search conditions at the same time, so as to search for additional information added to the target data by the associated user.

2. Step 102 is implemented in a manner of screening the additional information:

after determining the user information of the associated user of the first user, filtering processing can be performed on the target data with the additional information added by each user, so that the target data with only the additional information added by the associated user is obtained. Specifically, the user information of the associated user on the data platform can be used as a screening condition, and the additional information of the target data comprising the additional information added by each user can be screened to obtain the target data only with the additional information added by the associated user.

In the process of forming the target data with the additional information added by the associated user in step 102, or after the process, the embodiment of the present invention may further perform the following additional information processing operations:

1. additional information processing operation one:

multiple additional information may be classified (such classification may be according to the attributes of the additional information), stored in a classified manner and/or displayed in a classified manner in connection with the classification result. For example, for the target commodity, the evaluation as the additional information may be classified according to whether the evaluation belongs to a good or a bad evaluation, and the evaluation information may be stored and/or displayed classified according to the good or bad evaluation according to the classification result.

2. Additional information processing operation two:

a plurality of the additional information may be ranked and displayed according to the ranking result.

For example, the evaluation of the target commodity may be performed using a mechanism such as scoring, and for the scoring situation, the multiple evaluations may be ranked positively or negatively and displayed in combination with the ranking result.

For another example, the additional information added by the associated user may be ordered with respect to the degree of association between the associated user and the first user. The higher the degree of association of the associated user with the first user, the more forward the ordering of the additional information added by the associated user may be, and the lower the degree of association, the more rearward the ordering of the additional information added by the associated user may be. For example, if the first associated user is a direct friend of the first user and the second associated user is an indirect friend of the first user (i.e., the second associated user is a friend of the first user's friend, not the first user's direct friend), the ranking of the additional information added by the second associated user is relatively late. For another example, if the first associated user is a higher priority associated user, such as a family, and the second associated user is a lower priority associated user, such as a common friend, then the ranking position of the additional information added by the first associated user is more advanced than the ranking position of the additional information added by the second associated user.

For another example, the additional information added by a plurality of associated users may be ordered based on the level of trust of the first user with the associated users. The first user can set the trust degree of the associated user based on different factors, such as the trust degree of the historical evaluation of the associated user, and the additional information added by the associated user with high trust degree is ranked more forward than the additional information added by the associated user with low trust degree; of course, for an associated user with a higher level of trust, the additional information that it adds may be more posterior. Of course, the trust degree may also be set by other users for the associated user, and does not affect the implementation of the embodiment of the present invention.

3. Additional information processing operation three:

the additional information may be further screened. The further screening may be to screen out some useless additional information, for example, some evaluation information without actual evaluation content, or some specific additional information, for example, some evaluation information with good or bad evaluation is screened out, so that the actual value of the additional information can be ensured to be higher. If the screening is performed on the additional information, the target data formed in step 102 is target data including a portion of the additional information added by the associated user; accordingly, the additional information is not filtered, and the target data formed in step 102 may be target data including additional information added by all the associated users.

The above additional operation information processing operation may be implemented in the process of forming the target data with the additional information added by the associated user in step 102, or may be implemented after the target data is formed in step 102, which does not affect the implementation of the embodiment of the present invention.

Regarding determining the scope of associated users

The number of the associated users of the first user has an influence on the overall accuracy of the target data, so the following method is provided in the embodiment of the invention to determine the range of the associated users:

method one of determining the range of associated users:

in the above embodiments, in implementing the step of acquiring the user information of the associated user of the first user in step 101, the associated user of the first user may be determined according to whether the association level of the user and the first user is within the preset association level range. Specifically, an association level threshold may be preset, and a user whose association level with the first user is within the threshold range and which has an association with the first user is determined as the associated user, while a user outside the threshold range is not determined as the associated user. For example, the association level threshold may be set to 2, and for the first user, the user having a direct friend relationship with the first user is determined to be an associated user, and the user having a direct friend relationship with the first user has two levels of association with the first user, and does not exceed a preset threshold, and thus is also determined to be an associated user of the first user; however, if a user establishes an association with the first user through a layer 3 association, the association between the user and the first user cannot be determined to be the associated user of the first user any more because the association between the user and the first user exceeds a preset threshold. By the method, the range of the associated user of the first user can be controlled, when the preset association relation level threshold is larger, the range of the associated user of the first user is correspondingly wider, the obtained information amount is larger, and the credibility of the information provided by the users can be correspondingly reduced; when the preset association level threshold is smaller, the range of the associated user for acquiring the first user is smaller, the obtained information amount is smaller, and the credibility of the information is higher. The threshold value of the preset association relation level can be flexibly adjusted according to actual needs. When the association relationship level threshold is set to 1, the associated user of the first user is only the direct friend of the first user.

In other embodiments of the present invention, the associated users of the first user may be determined step by step from the user having the closest association relationship with the first user according to the tightness of the association relationship until the number of determined associated users reaches a preset threshold. In this way, the associated user may be obtained in a predetermined number, ensuring that the amount of additional information provided for the target data is controllable.

The associated user of the first user may also be determined with reference to the trustworthiness of the user when determining the associated user. A confidence threshold may also be set, for users with confidence levels exceeding the threshold and having an association with the first user, being determined as associated users of the first user, and for users with confidence levels below the threshold, not being determined as associated users of the first user. The credibility can be the credibility of the user for the first user or the credibility of the user for each user, and the realization of the embodiment of the invention is not affected.

Method two of determining the range of the associated user:

in the above embodiments of the present invention, in the process of processing the additional information on the target data in step 102, the relevant users may be further screened, and the target data is processed only by using the additional information added by the part of relevant users obtained by screening, so as to form the target data with the additional information added by the part of relevant users. Specifically, the filtering may be performed based on an association level between an associated user and the first user, where for an associated user whose association level is within a predetermined association level threshold, additional information added by the associated user is used to process the target data, and for an associated user whose association level is outside the predetermined association level threshold, additional information added by the associated user is not used to process the target data, thereby forming the target data with additional information added by a portion of the associated users. Of course, in the process of screening, the closest user to the first user may start to perform screening step by step according to the association level until the determined number of associated users reaches the preset threshold of the number of associated users.

In the process of screening the associated users, the screening can also be completed by referring to the credibility of the users. A confidence threshold may also be set, and for users with confidence levels exceeding the threshold, additional information added by the associated user is used to process the target data, and for users with confidence levels below the threshold, additional information added by the associated user is not used to process the target data. The credibility can be the credibility of the user for the first user or the credibility of the user for each user, and the realization of the embodiment of the invention is not affected.

After forming the target data with the additional information added by the associated user, the embodiment of the present invention may further include the following reprocessing operations, via step 102:

1. reprocessing operation one:

in order to provide an overall grasp of the additional information, a plurality of additional information may be subjected to a summary process to obtain a summary result. The summary result may be obtained by summarizing the whole of each additional information; or the additional information classified and summarized by combining different classification conditions of the additional information and classifying and summarizing the additional information of different classifications; and the classification summarization can be carried out on the associated users of different categories by combining the classification of the different associated users added with the additional information, so that a summarization result aiming at the classification of the associated users is obtained. For example, a total evaluation score can be obtained by summarizing the good scores and the bad scores of the target commodity evaluations for a plurality of associated users; or a plurality of related users are combined to score the target commodity, and an overall evaluation score is obtained in an average mode; the method can be characterized in that the method can be used for summarizing the evaluation of the category of the good score to obtain a good score, wherein the good score can be further added with a good number of people, and the poor score can be obtained by summarizing the evaluation of the category of the poor score, and the poor score can be further added with a poor score; and the evaluation of the family for the target commodity can be summarized for the category of the family of the associated user, and another evaluation can be obtained for the colleague.

2. Reprocessing operation two:

after the target data with the additional information added by the associated user is formed, the credibility of the associated user can be adjusted based on the evaluation operation of the first user on the additional information in the target data:

(1) For example, the evaluation operation may be a positive evaluation or a negative evaluation of the additional information added by the first user to a certain associated user, and based on the positive evaluation or the negative evaluation, the credibility of the certain associated user may be adjusted accordingly; for example, in the case that the actual condition of the target commodity found by the first user matches the evaluation of the associated user a, the additional information added to the target commodity by the associated user a is positively evaluated, and the credibility of the associated user a to the first user is improved; conversely, if the first user negatively evaluates the additional information added by the associated user a, the reliability of the associated user a to the first user is reduced;

(2) For another example, the evaluation operation of the first user may be additional information added to the target data by the first user, and the credibility of each associated user may be respectively adjusted in combination with the additional information added to the target data by the first user. Specifically, the credibility of the associated user can be respectively adjusted according to the degree of differentiation of the additional information added by the associated user and the additional information added by the first user to the target data. For the associated user giving the additional information similar to the additional information added by the first user, the credibility of the associated user is correspondingly improved, and for the associated user giving the additional information added by the first user and having a larger difference, the credibility of the associated user can be correspondingly reduced; for example, for a target commodity, the first user gives a positive evaluation such as "good" or "5 points", and then, in combination with this evaluation information added by the first user for the target commodity data, the credibility of each friend of the first user may be respectively adjusted, the credibility of friends giving similar evaluation to the first user is correspondingly improved, and the credibility of friends giving a larger evaluation with the first user is correspondingly reduced.

(3) For another example, the evaluation operation may be an evaluation of the aggregated additional information of the target data by the first user, and the credibility of each associated user may be adjusted by combining the evaluation. When the first user evaluates the summarized additional information in a positive manner, the reliability of the added additional information is correspondingly improved for the associated users with the same or similar added additional information and the summarized additional information, and the reliability of the added additional information and the summarized additional information is correspondingly reduced for the associated users with differences or opposite added additional information and the summarized additional information. When the first user evaluates the summarized additional information in a negative way, the reliability of the first user is correspondingly reduced for the associated users with the same or similar added additional information and summarized additional information, and the reliability of the first user is correspondingly improved for the associated users with the difference or opposite added additional information and summarized additional information.

For example, if the total rating of the target commodity is 4 points (fully rated as 5 points), the first user performs affirmative operation on the total rating, and for the associated user with the target commodity rated as 4 points and 5 points in the process of summarizing the additional information, the reliability of the associated user with the target commodity rated as 4 points is correspondingly improved, wherein the reliability of the associated user with the target commodity rated as 4 points is adjustable higher than that of the associated user with the target commodity rated as 5 points, and the reliability of the associated user with the target commodity rated as 2 points and 1 points is correspondingly reduced.

Of course, the reliability of each associated user of the additional information can be added by adjusting the integrity in combination with the evaluation condition of the additional information after the first user gathers the target data. For example, when the evaluation operation of the first user on the aggregated additional information is a positive operation, the reliability of each associated user to which the additional information is added is increased together (in the process of the increase, priority factors such as the degree of association between different associated users and the first user may be considered to be increased differently), and when the evaluation operation of the first user on the aggregated additional information is a negative operation, the reliability of each associated user to which the additional information is added is reduced together (in the process of the reduction, priority factors such as the degree of association between different associated users and the first user may be considered to be reduced differently).

The above-mentioned adjustment of the credibility of the associated user in combination with the additional information added by the first user or in combination with the evaluation condition of the first user on the summarized additional information may be implemented by using different rules and algorithms, and the embodiment of the present invention is not limited.

3. Reprocessing operation three:

after the target data with the additional information added by the associated user is formed, the weight value of the associated user in the data platform can be adjusted or the data of the associated user in the data platform can be modified correspondingly based on the evaluation operation of the first user on the additional information in the target data. The weight value may correspond to a level of the user in the data platform, and the data associated with the user in the data platform may correspond to personal financial data of the user in the data platform.

(1) For example, the evaluation operation may be a positive evaluation or a negative evaluation of the additional information added by the first user to a certain associated user, and based on the positive evaluation or the negative evaluation, the weight value of the associated user in the data platform may be correspondingly adjusted or the data of the associated user in the data platform may be correspondingly modified; for example, when the first user finds that the actual situation of the target commodity matches the evaluation of the associated user a, the associated user a may be positively evaluated for the additional information added to the target commodity, based on which positive evaluation may be:

correspondingly increasing the shopping weight value of the associated user A in the shopping platform, wherein the increase can lead the level of the associated user A in the shopping platform to be higher or can enjoy higher discount, or correspondingly increasing the account balance of the associated user A in the shopping platform;

Conversely, if the first user finds that the actual condition of the target commodity does not match the evaluation of the associated user a, negative evaluation may be performed on the additional information added by the associated user a, and based on such negative evaluation, it may be possible to: correspondingly reducing the shopping weight value of the associated user A in the shopping platform, wherein the reduction can reduce the level of the associated user A in the shopping platform or reduce the discount enjoyed by the associated user A, or correspondingly reduce the account balance of the associated user A in the shopping platform;

(2) For another example, the evaluation operation of the first user may be that the first user adds additional information to the target data, and the weight value of each associated user or the data in the data platform is adjusted by combining the additional information added to the target data by the first user, and the weight value of the associated user or the data in the data platform is adjusted according to the degree of difference between the additional information added by the associated user and the additional information added to the target data by the first user. For the associated user giving additional information similar to the additional information added by the first user, the weight value of the associated user is correspondingly increased or the value of the data is correspondingly increased, and for the associated user giving the additional information which is greatly different from the additional information added by the first user, the weight value of the associated user is correspondingly decreased or the value of the data on the data platform is correspondingly decreased; for example, for a target commodity, the first user gives a positive rating such as "good" or "5 points", then, in conjunction with this rating information added by the first user for the target commodity data, the friends of the first user giving 5 points or 4 points are promoted in the ranking of the shopping platform (e.g., from a silver member to a gold member, or the points of ranking are promoted accordingly), or the value of the account amounts of the friends in the shopping platform is promoted. Conversely, for friends of the first user given a score of 3 or 2, the friends may be reduced in the ranking of the shopping platform (e.g., from a silver member to a ferric member, or the credit of the ranking may be correspondingly reduced), or the value of the friends' account amount on the shopping platform may be reduced.

(3) For another example, the evaluation operation may be an evaluation of the aggregated additional information of the target data by the first user, and the weight value of each associated user or the numerical value of the data in the data platform may be adjusted in combination with the evaluation. When the first user evaluates the summarized additional information in a positive manner, for the associated users with the same or similar added additional information and summarized additional information, correspondingly increasing the weight value of the associated users in the data platform or correspondingly increasing the value of the data of the associated users in the data platform; and for the associated users with the difference or opposite of the added additional information and the summarized additional information, the weight value of the additional information in the data platform is correspondingly reduced, or the value of the data of the additional information in the data platform is correspondingly reduced. When the first user evaluates the summarized additional information in a negative way, correspondingly reducing the weight value of the added additional information in the data platform or correspondingly reducing the value of the data of the added additional information in the data platform for the associated user with the same or similar added additional information; and for the associated users with the difference or opposite difference between the added additional information and the summarized additional information, the weight value of the associated users in the data platform is correspondingly increased, or the value of the data of the associated users in the data platform is correspondingly increased.

For example, if the total rating of the target commodity is 4 points (fully rated as 5 points), the first user performs affirmative operation on the total rating, and for the associated user with the target commodity rated as 4 points and 5 points in the process of summarizing the additional information, the weight value of the associated user in the data platform is correspondingly increased, or the data value in the data platform is correspondingly increased, wherein the weight value of the associated user with the rating of 4 points can be adjusted higher than the weight value of the associated user with the rating of 5 points, and the weight value of the associated user with the rating of 4 points can be increased more than the weight value of the associated user with the rating of 5 points in the data platform; for the associated users scored as 2 points and 1 point, the weight value is correspondingly reduced, and the numerical value of the data in the data platform is correspondingly reduced. The weight value can be specifically the level of the user on the shopping platform or the level of enjoying discount, and the numerical value of the data can be the account amount of the user in the shopping platform;

in the embodiment of the invention, the weight value of each associated user of the additional information or the value of the data in the data platform can be added by adjusting the integrity by combining the evaluation condition of the summarized additional information of the target data by the first user. For example, if the first user evaluates the additional information after the integration in a positive manner, the weight value of each associated user to which the additional information is added or the value of the data in the data platform is increased together (in the process of the increase, priority factors such as the association degree of different associated users with the first user may be considered, and the first user evaluates the additional information after the integration in a negative manner), and the weight value of each associated user to which the additional information is added or the value of the data in the data platform is reduced together (in the process of the reduction, priority factors such as the association degree of different associated users with the first user may be considered, and the like may be considered, and the first user is reduced differently).

Of course, the above adjustment of the weight value or the numerical value of the data of the associated user in combination with the additional information added by the first user or in combination with the evaluation situation of the first user on the summarized additional information may be implemented by using different rules and algorithms, and the embodiment of the present invention is not limited.

With respect to the execution subject:

1. for the above embodiment, the execution subject of each step may be the data platform.

For example, for the embodiment shown in fig. 1, the execution bodies of step 101 and step 102 may be the data platform, that is, the data platform performs the actions of determining the target data, obtaining the user information of the associated user of the first user on the data platform, and performing additional information processing on the target data. Wherein:

the user information of the first user on the data platform, which is obtained by the data platform, may be user information that is obtained by searching the data platform as an execution subject;

the user information of the first user on the data platform, which is obtained by the data platform, can also be the user information obtained by the data platform according to the search result, wherein the user information is searched by the association relation platform or other platforms and devices based on the association relation among the users.

2. For the above embodiment, the execution subject of each step may be the association relationship platform.

For example, for the embodiment shown in fig. 1, the execution subject of step 101 and step 102 may be the association platform, that is, the association platform determines the target data in the data platform by retrieving the data; the association relation platform acquires the user information of the first user based on the call of the user information and further acquires the user information of the associated user of the first user on the data platform; and then the association relation platform performs the action of additional information processing on the target data in the data platform.

3. For the above embodiment, the execution subject of a part of the whole steps may be the data platform or the association relationship platform.

For example, for the embodiment shown in fig. 1, the execution body of determining the target data in step 101 may be the data platform or the association platform, and at least one of obtaining the user information of the associated user of the first user on the data platform and performing additional information processing on the target data is performed by using other platforms or devices as the execution body.

4. For the above embodiment, the execution subject of each step may be a separate platform or device other than the association platform and the data platform.

For example, to implement the method provided by the embodiment of the present invention, a new device is separately provided, and for the embodiment shown in fig. 1, the execution bodies of step 101 and step 102 may be the new device, that is, the new device determines the target data in the data platform by retrieving the data; the new equipment acquires the user information of the first user based on the call of the user information and further acquires the user information of the associated user of the first user on the data platform; and then the new equipment performs additional information processing on the target data in the data platform.

While the above refers to the use of different execution bodies to perform the corresponding steps of the present invention, these are merely exemplary illustrations, and different combinations of the above examples, or the use of other execution bodies to perform the steps provided by the embodiments of the present invention, are fully applicable without affecting the implementation of the embodiments of the present invention.

The implementation of the embodiment of the present invention is described below with reference to specific scenarios:

Scene one: in the scene, a shopping website platform is used as the data platform, and friend relations among different users are stored on the shopping website platform. Referring to fig. 2, the method provided by the embodiment of the invention includes:

step 201: after determining a target commodity, the shopping website platform invokes data of the target commodity, and displays the data on a terminal of a user A through network transmission, determines a user name of the user A based on login information of the user A on the platform, and determines friends B, C, D with the friend relationship with the user A based on the friend relationship among the users stored in the shopping platform.

Step 202: according to the user name of the friend B, C, D, processing the data of the target commodity in terms of evaluation information is performed in the shopping website platform, and the data of the target commodity including all or part of the evaluation information of the friends is formed and displayed on the terminal of the user A. In an embodiment of the present invention, friends of user a are determined in a hierarchy of relationships between friends. For example, the friend relationship layer level may be preset to be level 1, and then only the direct friends of the user a may be determined to be friends of the user a. The hierarchy may also be set to level 2, and then the direct friend B of the user a may be determined to be a friend of the user a, and the friend user C of the user B (the user C is not a direct friend of the user a) may be determined to be a friend of the user a due to the two-level relationship with the user a. However, for the friend user D of the user C, the friend relationship between the friend user D and the user a needs to be established through a level 3 relationship, which exceeds a level 2 level set in advance, so that the friend user D is not determined to be a friend of the user a. Of course, the friend relation hierarchy may be set according to actual needs.

In another embodiment of the present invention, a threshold value of the number of friend users may be preset, and then, starting from a first-level friend having close contact with the user a, the friends of the user a are determined step by step until the preset threshold value is reached.

In another embodiment of the present invention, the friends of the user a may also be determined according to the credibility of the user. For example, it is set that only users with a confidence level exceeding 10 can be determined as friends of user a, and then for users with a confidence level below 10, the user is no longer determined as friends of user a.

The method for determining friends of the user a based on the level of the friend relationship, the threshold of the number of friend users, or the reliability may be implemented in the process of evaluating the data of the target commodity in step 202, so as to screen and obtain the evaluation information of friends meeting the level requirement, the number of friend users, or the reliability requirement, and only include the additional information added by the friends obtained by the screening in the formed commodity data including the friend evaluation. The specific process is not described here in detail.

In the embodiment of the invention, the credibility of the friends can be adjusted based on the re-evaluation of the evaluation information in the target commodity by the user A.

The user a may re-evaluate the target commodity evaluation information as a whole or individually for a certain evaluation. User a may give a re-evaluation such as "useful", "useless" or "trusted", "untrusted" for each evaluation of the target commodity as a whole, based on which the system adjusts accordingly to give the trustworthiness of each friend of the evaluation. The user A can also give out the evaluation aiming at the target commodity, and can be combined with the evaluation given by the user A to be compared with the evaluation given by friends thereof, so that the reliability level of the friends is correspondingly increased or reduced. The user A can also perform positive or negative operation on the evaluation of a certain friend, if the operation is positive, the reliability of the friend is correspondingly improved, and if the operation is negative, the reliability of the friend is correspondingly reduced.

For example:

and adjusting the weight value of the friend in the shopping website platform or correspondingly modifying the data of the friend in the shopping website platform based on the reevaluation of the evaluation information in the target commodity by the user A.

The weight value or the data in the shopping website platform is adjusted according to the mode of adjusting the reliability of friends, and detailed description is omitted. Specifically, the adjusted weight value may be the level of the friend in the shopping website platform, such as a gold user, a silver user, etc., and the weight value may also be the discount proportion obtained by the friend in the shopping website, the higher the weight value is, the larger the obtained discount is, the lower the weight value is, and the fewer the obtained discount is; the data in the shopping website platform that is adjusted may be specifically the amount of money available to the user in the shopping website, or may be a numerical value such as a user point. The adjustment mode may be to directly adjust the corresponding value, or may further notify the user that the value is adjusted based on the adjusted value, for example, in a red packet manner.

Of course, in the first scene, the shopping website platform may further provide an interaction function between friends based on the friend relationship under the condition that the friend relationship between users is stored, so that the shopping website platform exists as the data platform with the association relationship platform function.

Scene II: in this scenario, the shopping website platform is used as the data platform, but the friend relations among different users are not stored on the shopping website platform, and the friend relations among the users are stored on the social network platform, that is, in this scenario, the shopping website platform serving as the data platform and the social network platform serving as the association relation platform are two independent platforms. Referring to fig. 4, in this scenario, a method provided by implementing an embodiment of the present invention includes the following steps:

step 601: after determining a target commodity, the shopping website platform invokes data of the target commodity and transmits the data to a terminal of a user A through a network for display;

step 602: the shopping website platform determines the user name of the user A based on login information of the user A on the platform;

step 603: determining a user name of a user A on the social network platform based on a correspondence relationship between user information between the shopping website platform and the social network platform; the corresponding relation can be a corresponding relation pre-established between the association relation platform and the data platform, can be a corresponding relation determined based on a network address such as an IP address, and can be a corresponding relation constructed based on a third party platform such as a payment platform; the corresponding relation can also be obtained based on the connection between the platforms; the manner of obtaining the correspondence relationship has been described in the previous embodiments, and is not described herein again;

Step 604: determining the user names of friend users B, C, D of the user A on the social network platform according to the friend relationship of the user A on the social network platform by using the user names of the user A on the social network platform;

step 605: determining the user name of the friend user B, C, D of the user A on the shopping website platform according to the corresponding relation between the user information between the shopping website platform and the social network platform;

steps 602 to 605 may be performed before step 601;

step 606 is identical to step 202 and will not be described again here.

Scene III: in the third scenario, the shopping website platform is used as the data platform, the social network platform is used as the association relationship platform, and the two platforms belong to different platforms, but the user logs in the two platforms by adopting the same user information. For example, the shopping website platform provides a function of logging in the shopping website platform based on the user information of the social network platform, and the user logs in the shopping website platform by adopting the user information of the social network platform.

An example of the third scenario may be the Beijing-east WeChat shopping service. In the service, the user logs in the WeChat, logs in the Beijing east by utilizing the shopping function provided by the WeChat, and the user name of the user logging in the WeChat is adopted in the process of logging in the Beijing east, so that the user logs in the Beijing east and the WeChat by adopting the same user information.

Referring to fig. 5, in the third scenario, the method provided by implementing the embodiment of the present invention includes the following steps:

step 701: after determining a target commodity, the shopping website platform invokes data of the target commodity and transmits the data to a terminal of a user A through a network for display; specifically, the WeChat user A enters a page of the Beijing east shopping website through a shopping function provided in WeChat, the Beijing east shopping website determines a target commodity based on system recommendation or user selection, and data of the target commodity are called out and displayed on a terminal of the user;

step 702: the shopping website platform determines the user name of the user A based on login information of the user A on the platform; specifically, the user name of the WeChat user A on the WeChat is, for example, ourgo, and in the process of using the Beijing east WeChat service, the WeChat user A logs in the Beijing east shopping website from the WeChat by using the WeChat user name ourgo, and the Beijing east shopping website determines that the user name of the user A on the website is ourgo;

Step 703: providing the user name of the user A to a social network platform, and determining the user name of a friend user B, C, D of the user A on the social network platform according to the friend relation of the user A on the social network platform; specifically, the Beijing east shopping website provides the user name ourgo of the micro credit user A for the micro credit, and the micro credit platform determines that the user names of friends B, C, D of the user A in the micro credit are ourgoB, ourgoC, ourgoD respectively according to the friend relation of the user A on the micro credit;

step 704: in the case where the friend user B, C, D logs in the shopping website platform and the social network platform by using the same user information, the shopping website platform processes the data of the target commodity in the aspect of evaluation information based on the user name of the friend user B, C, D on the social network platform, forms the data of the target commodity including all or part of the evaluation information of the friends, and displays the data on the terminal of the user a. Specifically, when the wechat user B, C, D uses the jingdong wechat for shopping, the user names ourgoB, ourgoC, ourgoD of the users in the wechat are also the user names of the users in the jingdong shopping website, and based on these user names, the evaluation of the target commodity by the users can be obtained, and based on the evaluation, target commodity data including all or part of the evaluation of the target commodity by the users is formed and displayed on the terminal of the user a.

In the above steps, steps 702 to 703 may be performed before or after step 701.

Scene four: in the fourth scenario, the social network platform further develops and has a shopping function, and commodity data is further stored on the social network platform, or the shopping website platform further develops and has a social function, and since the functions provided by the social network platform and the data platform are simultaneously provided on one platform, the platform exists as the data platform with the function of the association relationship platform.

Specifically, for example, the WeChat further develops and has an independent shopping function, and the realization of the function depends on commodity data stored on the social network platform of the WeChat. At this time, the WeChat exists as a data platform having the function of association, and in the description of the embodiment of the fourth scene, the platform is still called as a WeChat platform. Referring to fig. 3, in the fourth scenario, the method provided by implementing the embodiment of the present invention includes the following steps:

step 21: after determining a target commodity, the data platform with the function of the association relation platform calls out the data of the target commodity, displays the data on the terminal of the user A through network transmission, determines the user name of the user A based on the login information of the user A on the platform, and determines friends B, C, D with the friend relation with the user A based on the friend relation among the users stored in the shopping platform. Specifically, based on the shopping function provided by the WeChat platform, determining a target commodity in the commodities provided by the WeChat platform, calling out the data of the target commodity from the WeChat platform, and displaying the data on the terminal of the user A; the WeChat platform determines the user name of the friend B, C, D according to the relationship between the user A and other friends;

Step 22: according to the user names of friends B, C, D, the data of the target commodity is processed in the aspect of evaluation information in a data platform with the function of an association relation platform, and the data of the target commodity comprising all or part of the evaluation information of the friends is formed and displayed on the terminal of the user A. Specifically, the WeChat platform invokes the evaluation of the friends on the target commodity in the WeChat platform according to the user name of the friend B, C, D, forms the data of the target commodity including the evaluation information of all or part of the friends, and displays the data on the terminal of the user A.

Referring to fig. 6, the data processing method according to an embodiment of the present invention includes the following steps:

step 801: the association relation platform receives user information of a first user on the data platform;

step 802: the association relation platform determines the user information of the first user in the association relation platform according to the corresponding relation between the data platform and the user information of the association relation platform;

step 803: the association relation platform searches and obtains the user information of the association user of the first user in the association relation platform based on the user information of the first user in the association relation platform according to the association relation among the users in the platform;

Step 804: and the association relation platform determines the user information of the association user of the first user on the data platform according to the corresponding relation of the user information between the data platform and the association relation platform and provides the user information for the equipment requesting the information.

In the embodiment shown in fig. 6, the correspondence between the data platform and the user information of the association platform is consistent with the correspondence between the data platform and the user information of the association platform described in the description of step 101 in the foregoing embodiment, and the specific implementation and the utilization method of the correspondence may refer to the description in step 101 in the case two.

The embodiment of the invention provides a data processing device, which comprises:

The foregoing describes in detail embodiments of the present invention, which are presented herein with particular reference to specific embodiments, the foregoing embodiments being provided solely to aid in the understanding of the methods and apparatus of the present invention; meanwhile, as for those skilled in the art, according to the idea of the present invention, there are various changes in the specific embodiments and the application scope, and in summary, the present disclosure should not be construed as limiting the present invention.

Claims

1. A method of data processing, the method comprising:

determining an associated user of the first user; the method comprises the steps that an associated user of a first user is a user with an association relation with the first user, the associated user is determined by referring to the credibility of the user, the user with the credibility exceeding a credibility threshold and the association relation with the first user is determined to be the associated user of the first user, and the user with the credibility lower than the credibility threshold is not determined to be the associated user of the first user;

forming target commodity data with additional evaluation information added by the associated user;

the credibility of the associated user of the first user is the credibility set by the first user on the associated user or the credibility set by other users on the associated user; the credibility of the associated user is adjustable credibility, and the adjustment is that: based on the positive evaluation operation of the first user on the additional evaluation information added by the associated user, the credibility of the associated user is correspondingly improved, and based on the negative evaluation operation of the first user on the additional evaluation information added by the associated user, the credibility of the associated user is correspondingly reduced; alternatively, the adjustment is: and adding additional evaluation information similar to the additional evaluation information added by the associated user to the target commodity data based on the first user, correspondingly improving the credibility of the associated user, and correspondingly reducing the credibility of the associated user based on the first user adding additional evaluation information with larger difference from the additional evaluation information added by the associated user to the target commodity data.

2. The method according to claim 1, characterized in that the method further comprises:

and displaying the target commodity data with the additional evaluation information added by the association relation user on the terminal of the first user.

3. The method of claim 1, wherein the forming target commodity data with additional rating information added by an associated user comprises:

and screening the target commodity data of the additional evaluation information added by each user by taking the user information of the associated user on the data platform as a screening condition to obtain the target commodity data with the additional evaluation information added by the associated user.

4. The method of claim 1, wherein the associated user of the first user further comprises:

5. The method according to claim 1, characterized in that the method further comprises:

and correspondingly adjusting at least one of the weight value of the associated user in the data platform and the data of the associated user in the data platform based on the evaluation operation of the first user on the additional evaluation information in the target commodity data.

6. The method of claim 5, wherein the evaluation operation is a positive or negative evaluation of additional evaluation information added by the first user to an associated user;

the adjusting includes:

and correspondingly adjusting at least one of the weight value of the associated user in the data platform and the data of the associated user in the data platform.

7. The method of claim 5, wherein the evaluation operation is additional evaluation information added by the first user to the target commodity data;

the adjusting includes: and respectively adjusting at least one of the weight values of different associated users in the data platform and the data of the associated users in the data platform according to the degree of differentiation of the additional evaluation information added by the associated users and the additional evaluation information added by the first user to the target commodity data.

8. A method of data processing, the method comprising:

the association relation platform determines the user information of the first user in the association relation platform according to the corresponding relation of the user information between the data platform and the association relation platform;

The association relation platform searches and obtains the user information of the association user of the first user in the association relation platform based on the user information of the first user in the association relation platform according to the association relation among the users in the platform; the method comprises the steps that an associated user of a first user is a user with an association relation with the first user, the associated user is determined by referring to the credibility of the user, the user with the credibility exceeding a credibility threshold and the association relation with the first user is determined to be the associated user of the first user, and the user with the credibility lower than the credibility threshold is not determined to be the associated user of the first user; the credibility of the associated user of the first user is the credibility set by the first user for the associated user or the credibility set by other users for the associated user; the credibility of the associated user is adjustable credibility, and the adjustment is that: based on the positive evaluation operation of the first user on the additional evaluation information added by the associated user, the credibility of the associated user is correspondingly improved, and based on the negative evaluation operation of the first user on the additional evaluation information added by the associated user, the credibility of the associated user is correspondingly reduced; alternatively, the adjustment is: based on the first user adding additional evaluation information similar to the additional evaluation information added by the associated user to the target commodity data, correspondingly improving the credibility of the associated user, and based on the first user adding additional evaluation information with larger difference from the additional evaluation information added by the associated user to the target commodity data, correspondingly reducing the credibility of the associated user;

And the association relation platform determines the user information of the association user of the first user on the data platform according to the corresponding relation of the user information between the data platform and the association relation platform and provides the user information for the equipment requesting the information, so that the equipment forms target commodity data with additional evaluation information added by the association user.

9. A data processing apparatus, the apparatus comprising:

a determination unit: determining an associated user of the first user; the method comprises the steps that an associated user of a first user is a user with an association relation with the first user, the associated user is determined by referring to the credibility of the user, the user with the credibility exceeding a credibility threshold and the association relation with the first user is determined to be the associated user of the first user, and the user with the credibility lower than the credibility threshold is not determined to be the associated user of the first user;

a data generation unit: for forming target commodity data having additional rating information added by the associated user;