CN107103490B

CN107103490B - Data processing method, network server and terminal

Info

Publication number: CN107103490B
Application number: CN201710234003.5A
Authority: CN
Inventors: 彭晓辉
Original assignee: Huawei Machine Co Ltd
Current assignee: Huawei Machine Co Ltd
Priority date: 2017-04-11
Filing date: 2017-04-11
Publication date: 2021-07-09
Anticipated expiration: 2037-04-11
Also published as: CN107103490A

Abstract

The application provides a data processing method, a network server and a terminal, relates to the field of data analysis, and is characterized in that when a user searches keywords, historical behavior data of the user who searches related keywords are displayed to the user, and the user can make a decision quickly by referring to the historical behavior data, so that the time of the user is saved. The network server receives a matching instruction sent by the terminal; the instruction carries keywords input by a user at a terminal; determining at least one historical user matched with the keyword and historical behavior data of each matched historical user; generating a list of relevant users including an identification of the matched at least one historical user; and sending the relevant user list and the historical behavior data of each historical user in the at least one historical user to the terminal, so that the terminal displays the relevant user interface according to the relevant user list and displays the historical behavior data of the target historical user after determining the target historical user selected by the user from the relevant user interface.

Description

Data processing method, network server and terminal

Technical Field

The embodiment of the application relates to the field of data analysis, in particular to a data processing method, a network server and a terminal.

Background

With the rapid development of online shopping, the number of commodities displayed on each e-commerce platform basically reaches tens of millions, wherein the commodities with the same type and quality are many, and a user needs to select a commodity suitable for the user from a plurality of commodities. Conventionally, the commodities are sorted according to certain attributes (sales volume, credit, price, etc.) of the commodities, and the sorted commodities are displayed for a user to browse. Further, the user is required to browse the detail pages of each item in turn, and finally decide which item to select.

Generally, a user needs to spend a lot of time browsing data (including data such as commodity details and user comments) of each independent commodity to screen out commodities meeting the user's expectations from a large number of commodities, which greatly consumes time of the user.

Disclosure of Invention

When a user searches keywords, the user who has searched related keywords (keywords or related keywords of the keywords, related words, related expressions, related sentences and the like) is matched, and historical behavior data of the user are displayed for the user to refer to, so that the user can make a decision quickly by referring to the historical behavior data, and the time of the user is saved.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, a data processing method is provided, including: the network server receives a matching instruction sent by the terminal; the matching instruction carries keywords input by the user at the terminal. The network server may then determine at least one historical user matching the keyword and historical behavior data for each of the at least one historical user, such as: the user's actions of purchasing, collecting, searching, browsing, etc. Further, the network server may also generate a related user list according to the matched at least one historical user, where the list includes an identifier of the at least one historical user, where the identifier of the user may be attribute information of the user, such as: age, sex, and avatar of the user. And finally, the network server sends the related user list and the historical behavior data of each historical user in the at least one historical user to the terminal, so that the terminal displays the related user interface according to the related user list and displays the historical behavior data of the target historical user after the target historical user selected by the user from the related user interface is determined.

Therefore, the data processing method provided by the embodiment of the invention collects the historical behavior data of each historical user in advance, when the user inputs the keyword at the terminal, the terminal sends the keyword to the network server, the network server can match the historical users who have searched the related keyword according to the keyword, generate the related user list according to the matched historical users, and send the list and the matched historical behavior data of each historical user to the terminal. Further, the terminal can display a related user interface according to the list, the user can select a target historical user on the interface, the terminal can display the historical behavior data of the target historical user immediately, the user can make a decision by referring to the historical behavior data (such as purchasing, collecting and the like) of the target historical user, the user does not need to spend a large amount of time to browse the data of each independent commodity to screen out commodities meeting the self expectation from massive commodities, and the decision can be made quickly by browsing the historical behavior data of the related users which are relatively few, for example: and if a certain commodity is purchased, the time of the user is greatly saved.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the determining, by the network server, at least one historical user that matches the keyword specifically includes: and searching historical behavior data of all historical users in a preset historical time period stored by the network server by taking the keywords as indexes, and determining that at least one historical user which has searched the keywords or the associated keywords of the keywords in all historical users in the preset historical time period is at least one historical user matched with the keywords.

Therefore, a plurality of historical users can be matched according to the keywords input by the users, so that the historical behavior data of the historical users can be sent to the terminal, and the terminal displays the historical behavior data to the users for reference.

With reference to the first aspect and any one of the foregoing possible implementation manners of the first aspect, in a third possible implementation manner of the third aspect, before the network server generates the relevant user list according to at least one historical user, the method further includes:

the relevant user value may also be determined. The associated user value is used herein to indicate the number of at least one historical user. Then, the network server sends the relevant user value to the terminal so that the terminal can display the relevant user value; in addition, the first and second substrates are, in addition,

the network server can also receive a related user acquisition instruction sent by the terminal; the related user acquisition instruction is triggered after the user browses the related user value.

That is, the terminal displays the relevant user value so that the user can make a decision whether to view the relevant history user after knowing the number of users searching for the same (or related) keyword.

With reference to the first aspect and any one of the foregoing possible implementation manners of the first aspect, in a fourth possible implementation manner of the third aspect, after the network server determines the at least one historical user matched with the keyword and the historical behavior data of each historical user of the at least one historical user, the at least one historical user may be arranged according to a first preset order, and the historical behavior data of each historical user of the at least one historical user may be arranged according to a second preset order.

The first preset sequence may be a "sequence of recent behavior time", that is, the latest one of the occurrence times of a plurality of historical behaviors of the historical user. The second rule may be "chronological order of the occurrence times of the historical behaviors". Since the recent behaviors of the historical users are more reference value for the users, the users can browse the recent behaviors of the historical users firstly after sorting, and the decision can be made more quickly by referring to the recent behaviors of the historical users.

With reference to the first aspect and any one of the foregoing possible implementation manners of the first aspect, in a fourth possible implementation manner of the third aspect, the generating, by the network server, the related user list according to at least one historical user specifically includes: and determining the identifier of each historical user in the at least one historical user, arranging the identifiers of the at least one historical user according to the sequence of the arranged at least one historical user, and generating a related user list according to the arranged identifiers of the at least one historical user.

Similarly, the related user list generated according to the sorted historical users is sent to the terminal, so that the historical users in the related user interface generated by the terminal are also sorted according to the first preset sequence, and in addition, the historical behavior data of each historical user are sorted according to the second preset sequence, so that the user can browse the latest behavior of the historical user firstly, and make a decision more quickly by referring to the latest behavior of the historical user.

With reference to the first aspect and any one of the foregoing possible implementation manners of the first aspect, in a fifth possible implementation manner of the third aspect, the sending, by the network server, historical behavior data of each historical user of the at least one historical user to the terminal specifically includes: and the network server sends the arranged historical behavior data of each historical user in the at least one historical user to the terminal.

Similarly, the historical behavior data of the target historical user displayed by the terminal is sorted according to the second preset sequence, so that the user can browse the latest behavior of the historical user firstly, and make a decision more quickly by referring to the latest behavior of the historical user.

In a second aspect, a data processing method is disclosed, which includes:

the terminal acquires the keywords input by the user and sends the keywords to the network server. Subsequently, the terminal may receive a related user list and historical behavior data of each of the at least one historical user matched with the keyword, where the related user list includes an identifier of each of the at least one historical user, and the identifier of the user may be attribute information of the user, such as: the user identification is information of the user such as age, sex, occupation and head portrait. In this way, the terminal displays a relevant user interface according to the relevant user list, wherein the relevant user interface comprises the identification of each historical user in at least one historical user. And finally, the terminal determines a target historical user selected by the user from the related user interface, and displays the historical behavior data of the target historical user so that the user can make a decision by referring to the historical behavior of the target historical user.

With reference to the second aspect, in a first possible implementation manner of the second aspect, before the terminal receives the related user list sent by the network server and the historical behavior data of each of the at least one historical user matched with the keyword, the terminal may further receive a related user value sent by the network server, where the related user value is used to indicate the number of the at least one historical user; subsequently, the terminal may display the relevant user value; in addition, the terminal acquires a related user acquisition instruction triggered after the user browses the related user value, and sends the related user acquisition instruction to the network server; and the related user acquisition instruction is used for instructing the network server to issue a related user list and historical behavior data of each historical user in the at least one historical user matched with the keyword to the terminal.

With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the displaying, by the terminal, the relevant user interface according to the relevant user list specifically includes: the terminal acquires the historical user screening conditions set by the user, removes the historical users which do not accord with the screening conditions from at least one historical user, and only keeps the historical users which accord with the screening conditions from at least one historical user; the terminal generates the related user interface according to the history users meeting the screening condition in at least one history user; the related user interface only comprises the historical users meeting the filtering condition in at least one historical user.

In this way, the relevant history displayed by the terminal is closer to the user's needs, so that the user can make a better decision.

In a third aspect, a related user interface on a terminal is disclosed, the related user interface comprising:

a related user area, a screening condition option area and a time axis; the related user area comprises the identification of the historical user; the screening condition option area comprises at least one screening condition and a check box corresponding to each condition in the at least one screening condition; the timeline includes at least one time node. The method comprises the steps that a relevant user interface is displayed in response to a terminal receiving a relevant user list sent by a network service and historical behavior data of each historical user in at least one historical user; the at least one historical user is a historical user matched with the keywords input by the user on the display interface of the terminal, and the related user list comprises the identification of each historical user in the at least one historical user.

With reference to the third aspect, in a first possible implementation manner of the third aspect, the terminal displays a historical behavior data interface in response to a preset operation of a user in a relevant user area; the historical behavior data interface comprises an identification of a target historical user and historical behavior data of the target historical user; the target historical user is a historical user selected by the user in the relevant user area by executing preset operation.

In a fourth aspect, a network server is disclosed, comprising:

the receiving unit is used for receiving the matching instruction sent by the terminal; the matching instruction carries keywords input by a user at the terminal; the determining unit is used for determining at least one historical user matched with the keyword and historical behavior data of each historical user in the at least one historical user; the generating unit is used for generating a related user list according to at least one historical user; the list of related users includes an identification of at least one historical user; and the sending unit is used for sending the relevant user list and the historical behavior data of each historical user in the at least one historical user to the terminal, so that the terminal displays the relevant user interface according to the relevant user list and displays the historical behavior data of the target historical user after the target historical user selected by the user from the relevant user interface is determined.

With reference to the fourth aspect, in a first possible implementation manner of the fourth aspect, the determining unit is specifically configured to search historical behavior data of all historical users in a preset historical time period stored by the network server by using the keyword as an index, and determine that, of all historical users in the preset historical time period, at least one historical user who has searched the keyword or an associated keyword of the keyword is at least one historical user who is matched with the keyword.

With reference to the fourth aspect and any one of the foregoing possible implementation manners of the fourth aspect, in a second possible implementation manner of the fourth aspect, the determining unit is further configured to determine a relevant user value before the generating unit generates the relevant user list according to at least one historical user; the associated user value is used for indicating the number of at least one historical user; the sending unit is also used for sending the relevant user value to the terminal so that the terminal can display the relevant user value; the receiving unit is also used for receiving a related user acquisition instruction sent by the terminal; the related user acquisition instruction is triggered after the user browses the related user value.

With reference to the fourth aspect and any one of the foregoing possible implementation manners of the fourth aspect, in a third possible implementation manner of the fourth aspect, the apparatus further includes a sorting unit. The sorting unit is used for arranging the at least one historical user according to a first preset sequence and arranging the historical behavior data of each historical user in the at least one historical user according to a second preset sequence after the determining unit determines the at least one historical user matched with the keyword and the historical behavior data of each historical user in the at least one historical user.

With reference to the fourth aspect and any one of the foregoing possible implementation manners of the fourth aspect, in a fourth possible implementation manner of the fourth aspect, the first preset order is a sequence of recent behavior times of the at least one historical user; the second preset sequence is the sequence of the occurrence time of the historical behaviors.

With reference to the fourth aspect and any one of the foregoing possible implementation manners of the fourth aspect, in a fifth possible implementation manner of the fourth aspect, the generating unit is specifically configured to determine an identifier of each of the at least one historical user, arrange the identifier of the at least one historical user according to a sequence of the arranged at least one historical user, and generate the related user list according to the arranged identifier of the at least one historical user.

With reference to the fourth aspect and any one of the foregoing possible implementation manners of the fourth aspect, in a sixth possible implementation manner of the fourth aspect, the sending unit is specifically configured to send the arranged historical behavior data of each of the at least one historical user to the terminal.

In a fifth aspect, a terminal is disclosed, which includes:

the acquiring unit is used for acquiring keywords input by a user; a sending unit, configured to send the keyword to a network server; the receiving unit is used for receiving the related user list sent by the network server and the historical behavior data of each historical user in at least one historical user matched with the keyword; the related user list comprises an identification of each historical user in at least one historical user; the display unit is used for displaying a related user interface according to the related user list; the associated user interface includes an identification of each of the at least one historical user; the acquisition unit is further used for determining a target historical user selected by the user from the related user interface and displaying historical behavior data of the target historical user so that the user can make a decision by referring to the historical behavior of the target historical user.

With reference to the fifth aspect, in a first possible implementation manner of the fifth aspect, the receiving unit is further configured to receive a relevant user value sent by the network server before receiving the relevant user list sent by the network server and the historical behavior data of each of the at least one historical user that matches the keyword, where the relevant user value is used to indicate the number of the at least one historical user; the display unit is also used for displaying the relevant user value; the acquisition unit is also used for acquiring a related user acquisition instruction triggered after the user browses the related user value; the related user acquisition instruction is used for indicating the network server to issue a related user list and historical behavior data of each historical user in at least one historical user matched with the keyword to the terminal; the sending unit is further configured to send the related user acquisition instruction to the network server.

With reference to the fifth aspect or the first possible implementation manner of the fifth aspect, in a second possible implementation manner of the fifth aspect, the obtaining unit is further configured to obtain a filtering condition of a historical user set by the user, remove a historical user that does not meet the filtering condition from at least one historical user, and only keep a historical user that meets the filtering condition from the at least one historical user; the display unit is specifically used for generating a related user interface according to the historical users meeting the screening conditions in at least one historical user; the related user interface only comprises the historical users meeting the filtering condition in at least one historical user.

In a sixth aspect of embodiments of the present application, a network server is provided, where the network server may include: at least one processor, a memory, a communication interface, a communication bus;

the at least one processor is connected to the memory and the communication interface through a communication bus, the memory is used for storing computer-executable instructions, and when the server runs, the processor executes the computer-executable instructions stored in the memory, so that the network server executes the data processing method according to the first aspect or any one of the possible implementation manners of the first aspect.

A seventh aspect of the embodiments of the present application provides a terminal, which may include: at least one processor, memory, display, transceiver;

the memory is used for storing computer execution instructions;

a processor configured to execute the data processing method according to the second aspect or any of the possible implementations of the second aspect, so as to implement the function of the obtaining unit in the fifth aspect or the possible implementations of the fifth aspect;

a display for executing the data processing method of the second aspect or any one of the possible implementations of the second aspect to implement the function of the display unit in the fifth aspect or the possible implementations of the fifth aspect;

a transceiver configured to execute the data processing method according to the second aspect or any one of the possible implementations of the second aspect, so as to implement the functions of the transmitting unit and the receiving unit in the fifth aspect or the possible implementations of the fifth aspect.

A computer storage medium for storing computer software instructions for the network server, the computer software instructions including a program for executing the data processing method.

Another computer storage medium stores computer software instructions for the terminal, the computer software instructions including a program for executing the data processing method.

Drawings

FIG. 1 is an architecture diagram of a conventional network data search system;

fig. 2 is an architecture diagram of a network search system provided in an embodiment of the present application;

fig. 3 is a schematic diagram illustrating a network server according to an embodiment of the present application;

FIG. 4 is a flow chart of a data processing method according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a search interface provided by an embodiment of the present application;

FIG. 6 is another schematic diagram of a search interface provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of a related user interface provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a historical behavior data interface provided by an embodiment of the present application;

FIG. 9 is a schematic view of a personal information entry interface provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of a product review interface provided by an embodiment of the present application;

fig. 11 is another schematic diagram of a network server according to an embodiment of the present application;

fig. 12 is another schematic diagram of a network server according to an embodiment of the present application;

fig. 13 is a schematic composition diagram of a terminal according to an embodiment of the present application;

fig. 14 is another schematic diagram of a terminal according to an embodiment of the present disclosure;

fig. 15 is another schematic diagram of a terminal according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application.

As shown in fig. 1, the terminal may display a search interface, which may be a search interface of an e-commerce or a search interface of a search engine. The search interface includes a search box, in which a user can input a keyword, and then the terminal transmits the keyword input by the user to the web server. The network server determines the search results matched with the keywords and sends the search results to the terminal, and the terminal displays the received search results.

The network server may be a backend server of an e-commerce. When a user inputs a certain keyword on a search interface of an e-commerce, thousands of commodities appear. The user needs to browse the detailed pages of each commodity in turn, and finally selects a commodity suitable for the user from a plurality of commodities. This requires the user to spend a significant amount of time browsing the data in each individual item, such as: the commodity details, the user comments and the like can screen the commodities which accord with the expectation of the user from the massive commodities, and the time of the user is greatly consumed.

The embodiment of the application provides a data processing method, and the basic principle is as follows: the network server acquires keywords searched by a user, displays historical behavior data of historical users who have searched related keywords to the user, and simultaneously displays some information (such as the age, height, weight, occupation and the like) of the historical users to the user for the user to refer to, so that the user can quickly make decisions by referring to the historical behavior data of the users. In this way, the user can make a quick decision by referring to the historical behaviors of the historical users similar to the actual situation of the user, such as: and when the user purchases commodities, the user does not need to browse massive commodities to screen out commodities meeting the user's expectation, so that the time of the user is saved.

The embodiments of the present application will be described in detail below with reference to the accompanying drawings:

fig. 2 is an architecture diagram of a network search system according to an embodiment of the present application. As shown in fig. 2, the network search system includes a user, a terminal, and a network server. The network server comprises an analysis module 11, a matching module 12 and a storage module 13.

In a specific implementation, the network server collects historical behaviors of all users accessing the network server within a preset historical time period (for example: within the past two years) in a point-buried manner, and specifically, the network server may embed a piece of code in some interfaces or key buttons of some interfaces of an application program of the network server, and the code automatically runs to collect behavior actions of the users when the users browse the pages (or click the buttons). For example, the historical behaviors of all users accessing the network server in the past two months are collected, and the historical behaviors can be any one or more of searching, purchasing, collecting, sharing, browsing, commenting and the like.

Thereafter, the analysis module 11 stores the historical behavior data of the user in the storage module 13, and specifically generates a set of historical behavior data for each user, including the identification of the user, the historical behavior of the user, and the time at which each historical behavior occurred. The user identifier may be attribute information of the user, and may be: any one or more of pattern information, age, height, weight, occupation, sex and the like of the head portrait of the user. Further, the analysis module 11 may extract keywords for each historical behavior of the user. Table 1 shows one possible implementation of historical behavioral data of a user recorded in the storage module 13.

TABLE 1

When the terminal receives a search instruction triggered by a user, the instruction is sent to a network server. The instruction carries a keyword entered by the user.

The matching result obtained by the matching module 12 according to the keyword input by the user is: the historical behavior data of the at least one historical user and each historical user of the at least one historical user matched with the keywords input by the user. In a specific implementation, the matching module 12 may query the historical behavior data of each user stored in the storage module 13, extract a behavior keyword of the historical behavior of each user, match the keyword input by the user with the extracted behavior keyword, and use the historical users matched with the keyword input by the user and the historical behavior data of the historical users as matching results.

In some embodiments, the historical behaviors of the matched historical users may also be filtered, and for any one of the matched historical users, the historical behavior of the historical user in a preset time period before the current time is only retained in the matching result. The current time may be a time when the terminal receives the search instruction triggered by the user in the above process, and since the transmission delay between the terminal and the network server is negligible, the "time when the network server receives the search instruction sent by the terminal" may be approximately regarded as "a time when the terminal receives the search instruction triggered by the user". Further, the network server may filter the matching result, and only retain the historical behavior of the historical user in the matching result within a preset time period before the "time when the network server receives the search instruction sent by the terminal".

It should be noted that the history user matching the keyword may be a history user who has searched for the same keyword, that is, the keyword input by the user is completely the same as the extracted behavior keyword, and the history user corresponding to the behavior keyword is considered to be a history user matching the keyword input by the user. The history user matching the keyword may also be a history user searching related keywords, where the related keyword has a related relationship with the keyword input by the user, which is also referred to as a related keyword, a related word, a related expression, and a related statement of the keyword, that is, the keyword input by the user is related to the extracted behavior keyword, and then the history user corresponding to the behavior keyword is considered to be the history user matching the keyword input by the user. For example, the keyword input by the user is a "star smart phone", and the behavior keyword related to the "star smart phone" may be a "star model 123 mobile phone", a "star model 456 mobile phone", or the like.

Further, after the matching module 12 matches at least one historical user according to the keyword input by the user and the historical behavior data of the at least one historical user, a related user list may be generated according to the at least one historical user, where the related user list includes an identifier of each historical user in the matching result. Table 2 shows one possible implementation of the relevant user list.

TABLE 2

Then, the network server transmits the relevant user list and the matching result (including the historical behavior data of each of the at least one historical user matched with the keyword input by the user) to the terminal.

After the terminal receives the relevant user list and the matching result sent by the network server, the terminal may display a relevant user interface according to the relevant user list, where the interface includes the identifier of each historical user in the relevant user list, such as a user avatar. And after the target historical user is selected from the related user list by the user, displaying historical behavior data of the target historical user so that the user can make a decision by referring to the historical behavior of the target historical user. For example, the terminal displays a related user list interface, the interface includes head portraits of historical users in the related user list, the user can select one of the head portraits of the historical users in the related user list interface, and then the terminal displays the historical behavior data of the historical users. The user makes a decision with reference to the historical behavior of the historical user.

In some embodiments of the present application, while the network server sends the relevant user list and the historical behavior data of each of the at least one historical user to the terminal, the network server may also send interface setting information to the terminal, which indicates how the terminal displays the relevant user list and the historical behavior data of the target historical user, for example, in a table form.

In some embodiments of the present application, the matching module 11 may further arrange the matched at least one historical user according to a first preset order, and arrange the historical behavior data of each historical user of the at least one historical user according to a second preset order. Specifically, the first preset order may be "arranged according to the chronological order of the recent behavior time of the historical user," where the "recent behavior time" refers to a latest time point of occurrence time of a plurality of historical behaviors of the historical user. The following are exemplified: the method comprises the following steps that a user A searches for the "" smart phone "" in No. 10 and No. 2 in 2016, purchases the "" smart phone "" in No. 12 and No. 8 in 2016, and when at least one matched historical user is arranged according to the time sequence, the time of the user A is No. 12 and No. 8 in 2016; the user B collects the "" smart phone in No. 2 of 2017 in No. 2, browses the "" smart phone in No. 10 of 2016 in No. 11, and when at least one matched historical user is arranged according to the time sequence, the time of the user B is No. 2 of 2017 in No. 2; the result of arranging the historical users in chronological order is: user a- > user B.

The second preset order may be "arranged in the order of the occurrence times of the historical behaviors". For example, after user B bought "× -brand smartphone" No. 8/2015 ", purchased" × -brand smartphone "No. 10/22/2015", and arranged in chronological order of occurrence of historical behaviors, the historical behavior data of user B is: user B purchased "xbrand smartphone" at 22 months 10/2015; purchase ". star brand smartphone" at 2016, 8/month 5.

Further, the matching module 11 generates a related user list according to the arranged historical users, and sends the list and the historical behavior data arranged by each historical user in the list to the terminal.

Fig. 3 is a schematic composition diagram of a network server according to an embodiment of the present application, where the network server may be the network server in fig. 1. As shown in fig. 3, the network server may include at least one processor 21, memory 22, and a communication interface 23.

The following describes each component of the network server in detail with reference to fig. 3:

the processor 21 is a control center of the network server, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 21 is a Central Processing Unit (CPU), or may be an Application Specific Integrated Circuit (ASIC), or may be one or more Integrated circuits configured to implement embodiments of the present Application, such as: one or more microprocessors (digital signal processors, DSPs), or one or more Field Programmable Gate Arrays (FPGAs).

The processor 21 may perform various functions of the network server by running or executing software programs stored in the memory 22 and calling up data stored in the memory 22, among other things.

In particular implementations, processor 21 may include one or more CPUs such as CPU0 and CPU1 shown in fig. 3 as one example.

In one embodiment, the network server may include a plurality of processors, and each of the processors may be a single-Core Processor (CPU) or a multi-Core Processor (CPU). A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).

The Memory 22 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory 22 may be self-contained and coupled to the processor 21 via a communication bus 24. The memory 22 may also be integrated with the processor 21.

The memory 22 is used for storing software programs for executing the scheme of the application, and is controlled by the processor 21 to execute.

The communication interface 23, using any transceiver or the like, is used for communication with other devices in the network search system, such as the terminal in fig. 2. And may also be used to communicate with communications Networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Networks (WLAN), etc. The communication interface 23 may include a receiving unit implementing a receiving function and a transmitting unit implementing a transmitting function.

The device architecture shown in fig. 3 does not constitute a limitation of a network server and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.

In some embodiments of the present application, the memory 22 may be the storage module 12 of the network server shown in fig. 2, and the processor 21 may be a module integrated with the analysis module 21 and the matching module 22 of the network server shown in fig. 2. The memory 22 stores program code and historical behavior data for each user, as shown in table 1.

The processor 21 calls the program codes in the memory 22 to execute the operations of the analysis module 21 and the matching module 22, collects the historical behaviors of all users logging in the web server platform, generates the historical behavior data of each user, and determines the historical users matched with the keywords input by the users, which will not be described in detail herein.

Fig. 4 is a flowchart of a data processing method according to an embodiment of the present application, and as shown in fig. 4, the method may include:

101. the network server acquires historical behavior data of historical users.

In specific implementation, the network server implants a section of code in a key button or a page, and collects behavior actions of each historical user, such as: searching, purchasing, collecting, sharing, browsing, commenting and the like. And generating a group of historical behavior data for each user, wherein the group of historical behavior data comprises the identification of the user, the historical behaviors of the user, a behavior keyword corresponding to each historical behavior and the occurrence time of each historical behavior. The historical behavior data may be in the form shown in table 1, and will not be described herein.

102. The terminal acquires the keywords input by the user.

In a specific implementation, the terminal displays a search interface, and the search interface comprises a search box. The user can input keywords in a search box of a search interface displayed by the terminal, and the terminal can acquire the keywords input by the user.

103. And the terminal sends the keyword to a network server.

The web server is a background server of the search interface, and responds to an instruction triggered by the user on the search interface, such as: search results that match the user-entered keyword are determined.

104. The network server determines at least one historical user matched with the keyword and historical behavior data of each historical user in the at least one historical user.

In a specific implementation, the network server determines behavior keywords which are "same" or related to the keywords input by the user, and determines the historical users corresponding to the behavior keywords as the historical users matched with the keywords input by the user. And then generating a related user list according to the matched historical users. Of course, the matched historical users may also be arranged according to a preset rule (i.e. the first preset order), such as: and arranging the matched historical users according to the sequence of the latest behavior time of the historical users, wherein the latest behavior time refers to the latest time point in the occurrence time of a plurality of historical behaviors of the historical users. The following are exemplified: user a searches for ". star" -brand smartphone "at No. 10/month 2 in 2016, purchases". star "-brand smartphone" at No. 12/month 8 in 2016, and when at least one matched historical user is arranged according to "time sequence", user a is in time of 2016, No. 12/month 8 in 2016.

Further, the matched historical behavior data of each historical user may also be arranged according to a preset rule, for example, the historical behavior data may be arranged according to the occurrence time of the historical behavior.

105. And the network server generates a related user list according to the at least one historical user and sends the related user list and the historical behavior data of each historical user in the at least one historical user to the terminal.

Wherein the list of related users includes an identification of the at least one historical user. The identification of the historical user can be attribute information of the user, such as: the user's avatar, age, height, weight, occupation, gender, etc.

Of course, if the matched historical users are arranged according to the preset rule after step 104, a related user list is generated according to the arranged historical users.

106. And the terminal receives the related user list and displays a related user interface according to the related user list.

In specific implementation, after receiving the related user list, the terminal analyzes the identifier of each historical user included in the related user list, extracts the avatar information in the historical user identifier, and generates the avatar pattern of the historical user according to the extracted avatar information.

After generating the head portrait pattern of each historical user, a related user list interface can be generated, and the interface comprises head portraits of the historical users in the related user list.

107. And the terminal determines a target historical user selected by the user from the related user interface and displays the historical behavior data of the target historical user selected by the user so that the user can make a decision by referring to the historical behavior of the target historical user.

In a specific implementation, the target history user is a history user selected from the related user interface by the user executing a preset operation, such as: the method comprises the steps that a user selects an avatar pattern on a related user interface, a terminal determines a historical user corresponding to the avatar pattern as a target historical user, then the terminal displays historical behavior data of the historical user, and the user makes a decision by referring to the historical behavior of the historical user.

Further, in some embodiments of the present application, the display screen of the terminal includes a touch panel, and the preset operation may be that a user touches a certain avatar pattern on the display screen of the terminal through a pointer, and selects a historical user to which the avatar pattern belongs. Alternatively, the preset operation may be that the user selects an avatar pattern on the relevant user interface through a cursor.

In some embodiments of the present application, after step 104 and before step 105, the network server may determine the number of history users matched according to the keyword input by the user (i.e. the relevant user value), and send the relevant user value to the terminal, and the terminal displays the relevant user value in the search interface. When the user browses the value, the related user can be triggered to obtain the instruction. Then, the terminal sends the relevant user acquisition instruction to the network server, and instructs the network server to send the data matched according to the keyword input by the user to the terminal, that is, step 105 is executed. The displaying the associated user interface. Illustratively, the terminal displays the number "980" on the search interface and prompts the user to click on "980" to view the historical behavior of the particular user. The user clicks 980 of the display interface and the terminal displays the relevant user interface.

According to the data processing method provided by the embodiment of the application, the server acquires the keyword input by the user on the search interface, and determines the historical users matched with the keyword and the historical behavior data of each historical user. Further, a related user list is generated according to the matched historical users, and the list and the historical behavior data of each historical user are sent to the terminal, so that the terminal can display a related user interface according to the related user list. The terminal can also display historical behavior data of the historical user to which the avatar pattern belongs when the user selects the avatar image, so that the user can refer to the historical behavior data to make a decision quickly. The user is prevented from browsing massive commodity information, and the time of the user is saved.

The following describes a data processing method provided by the present application, taking online shopping as an example, and specifically includes:

the user first inputs the keyword "high-end contract machine" into the search interface of the online shopping platform shown in fig. 5. In a specific implementation, the user may input the keyword through a physical keyboard, may input the keyword through a system soft keyboard, and may input the keyword in a voice, which is not limited herein.

Then, the terminal sends the keyword 'high-end contractual machine' to a background server (namely the network server) of the online shopping platform, and the background server determines the historical users matched with the 'high-end contractual machine', the number of matched historical users (namely the relevant user value) and the historical behavior data of each matched historical user. The backend server sends the relevant user value "898" to the terminal.

Referring to fig. 6, the terminal receives a related user value "898" sent by the background server, and prompts the user that "898 people search" exists in the search interface shown in fig. 5, and the user clicks the position of "898 people search" on the search interface to trigger the related user to obtain an instruction.

And then, the terminal sends the related user acquisition instruction to a background server, and after receiving the instruction, the background server generates a related user list according to the historical users matched with the high-end contract machine, wherein the list comprises the identification of each historical user matched with the high-end contract machine, and the identification can be pattern information, age, gender, occupation and the like of the head portrait of the user.

And then, the background server transmits the related user list and the historical behavior data of each historical user matched with the high-end contract machine to the terminal.

The terminal receives the related user list sent by the background server and the historical behavior data of each historical user matched with the high-end contract machine, sends the historical behavior data to the terminal, extracts the pattern information of the head portrait of each historical user in the related user list, and generates the head portrait pattern of each historical user. Further, the terminal generates and displays a related user interface shown in fig. 7. Referring to FIG. 7, the correlation user interface includes an avatar to historical users that match the high end contracting machine ".

Further, referring to fig. 7, the terminal may add screening condition options in the relevant user interface, where each screening condition option corresponds to one of the selection boxes, and the user may select a screening condition by clicking the selection box. The screening condition options may be "browse", "age", "occupation", etc. And the terminal acquires the screening conditions selected by the user and only displays the head portraits of the historical users which accord with the screening conditions in the historical users matched with the high-end contract machine. Further, the user avatars can be arranged in the chronological order of the latest behavior time. In addition, the related user interface may further include a time axis on which different time nodes are displayed, such as "2016 10 months", "2016 11 months", and the like. In specific implementation, a time node corresponding to the latest behavior time of the historical user is determined, and the avatar of the historical user is displayed in the effective area of the time node. For example, referring to fig. 7, when the latest action time of the user a is 2016, 11 and 2, the avatar of the user a is displayed in the effective area of the time node "2016, 11 and 2" on the time axis.

In addition, the user may select a target history user on the interface shown in FIG. 7.

Further, referring to fig. 8, the terminal displays a historical behavior data interface of the target historical user selected by the user, where the interface includes the avatar of the target historical user selected by the user, the historical behavior data of the target historical user, and the behavior identifier of the target historical user. In addition, the historical behavior data of the target historical user can be displayed according to the time sequence of the occurrence of the historical behaviors. By "behavior token" is meant an icon representing a historical behavior, such as: the behavior identifier of "browse" is "eye icon", and the behavior identifier of "buy" is "bank card icon".

In some embodiments, the historical behavior data comprises: an identification of the user, historical behaviors of the user, and a time at which each of the historical behaviors occurred. Wherein the identification of the user may be: pattern information of the head portrait of the user, attribute information such as age, height, weight, occupation and gender. In a specific implementation, the terminal may obtain the attribute information of the user through the personal information filled in by the user on the personal information entry interface shown in fig. 9, or may obtain the attribute information of the user through the commodity evaluation filled in by the user on the commodity review interface shown in fig. 10, which is not limited herein.

The above-mentioned scheme provided by the embodiment of the present application is introduced mainly from the perspective of interaction between network elements. It is understood that each network element, such as a network server and a terminal, includes a corresponding hardware structure and/or software modules for performing each function in order to realize the functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the network server and the terminal may be divided into the functional modules according to the above method examples, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

In the case of dividing each functional module by corresponding functions, fig. 11 shows a schematic diagram of a possible composition of the network server involved in the above embodiment, as shown in fig. 11, the network server may include: a receiving unit 201, a determining unit 202, a generating unit 203, and a transmitting unit 204.

Wherein, the receiving unit 201 is configured to support the network server to execute step 103 in the data processing method shown in fig. 4.

A determining unit 202, configured to support the web server to perform a step of "determining at least one historical user matching the keyword and historical behavior data of the at least one historical user" in step 104 in the data processing method shown in fig. 4.

A generating unit 203, configured to support the web server to execute the step of "generating a relevant user list" in step 104 in the data processing method shown in fig. 4.

A sending unit 204, configured to support the server to execute step 105 in the data processing method shown in fig. 4.

It should be noted that all relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again.

The network server provided by the embodiment of the application is used for executing the data processing method, so that the same effect as the data processing method can be achieved.

In the case of integrated units, fig. 12 shows another possible schematic composition of the network server involved in the above-described embodiment. As shown in fig. 12, the server includes: a processing module 301 and a communication module 302.

The processing module 301 is used to control and manage the actions of the server, e.g., the processing module 301 is used to support the server to perform steps 101, 104 in fig. 4, and/or other processes for the techniques described herein. The communication module 302 is used to support communication between the server and other network entities, for example, the terminal shown in fig. 2. The network server may also include a storage module 303 for storing program codes and data for the server.

The processing module 301 may be a processor or a controller. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like. The communication module 302 may be a transceiver, a transceiving circuit or a communication interface, etc. The storage module 303 may be a memory.

When the processing module 301 is a processor, the communication module 302 is a communication interface, and the storage module 303 is a memory, the network server according to the embodiment of the present application may be the network server shown in fig. 3.

In the case of dividing each functional module by corresponding functions, fig. 13 shows a possible composition diagram of the terminal involved in the above embodiment, as shown in fig. 13, the terminal may include: acquisition section 401, transmission section 402, reception section 403, and display section 404.

Wherein, the obtaining unit 401 is configured to support the terminal to execute step 102 in the data processing method shown in fig. 4; the step of "determining the target history user selected by the user in the relevant user interface" in step 107 in the data processing method shown in fig. 4.

A sending unit 402, configured to support the terminal to execute step 103 in the data processing method shown in fig. 4.

A receiving unit 403, configured to support the terminal to execute the step of "receiving the relevant user list" in step 106 in the data processing method shown in fig. 4.

A display unit 404, configured to support the terminal to perform a step of "displaying a related user interface according to the related user list" in step 106 and a step of "displaying historical behavior data of the target historical user" in step 107 in the data processing method shown in fig. 4.

The terminal provided by the embodiment of the application is used for executing the data processing method, so that the same effect as the data processing method can be achieved.

In the case of an integrated unit, fig. 14 shows another possible composition diagram of the terminal involved in the above embodiment. As shown in fig. 14, the terminal includes: a processing module 501 and a communication module 502.

The processing module 501 is used for controlling and managing the actions of the terminal. The communication module 502 is used to support communication between the terminal and other network entities, for example, a network server shown in fig. 2. The terminal may also include a storage module 503 for storing program codes and data for the terminal.

The processing module 501 may be a processor or a controller. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like. The communication module 502 may be a transceiver, a transceiving circuit or a communication interface, etc. The storage module 503 may be a memory.

When the processing module 501 is a processor, the communication module 502 is a transceiver, and the storage module 503 is a memory, the terminal according to the embodiment of the present application may be the terminal shown in fig. 15. As shown in fig. 15, the terminal includes: a processor 601, a memory 602, a transceiver 603, and a display 604.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: flash memory, removable hard drive, read only memory, random access memory, magnetic or optical disk, and the like.

The above description is only an embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A data processing method is applied to a network server and is characterized by comprising the following steps:

receiving a matching instruction sent by a terminal, wherein the matching instruction comprises a keyword input by a user at the terminal;

searching historical behavior data of all historical users in a preset historical time period stored by the network server by taking the keyword as an index, determining that at least one historical user, which has searched the keyword or the associated keyword of the keyword, in all historical users in the preset historical time period is at least one historical user matched with the keyword, and determining the historical behavior data of each historical user in the at least one historical user;

determining a relevant user value, the relevant user value indicating a number of the at least one historical user;

sending the relevant user value to the terminal so that the terminal can display the relevant user value;

receiving a related user acquisition instruction sent by the terminal, wherein the related user acquisition instruction is triggered after the user browses the related user value;

generating a related user list according to the at least one historical user, wherein the related user list comprises the identification of the at least one historical user;

and sending the related user list and the historical behavior data of each historical user in the at least one historical user to a terminal, so that the terminal displays a related user interface according to the related user list, and displays the historical behavior data of the selected target historical user after determining the target historical user selected by the user from the related user interface.

2. The method of claim 1, wherein after determining the historical behavior data for the at least one historical user matching the keyword and each of the at least one historical user, the method further comprises:

the at least one historical user is arranged according to a first preset sequence, and the historical behavior data of each historical user in the at least one historical user is arranged according to a second preset sequence.

3. The method according to claim 2, wherein the first preset order is a precedence order of recent behavior time of the at least one historical user; the second preset sequence is the sequence of the occurrence time of the historical behaviors.

4. The method according to claim 2, wherein the generating a list of relevant users according to the at least one historical user specifically comprises:

and determining the identifier of each historical user in the at least one historical user, arranging the identifiers of the at least one historical user according to the arranged sequence of the at least one historical user, and generating the related user list according to the arranged identifiers of the at least one historical user.

5. The method according to claim 2, wherein the sending the historical behavior data of each of the at least one historical user to the terminal specifically comprises:

and sending the arranged historical behavior data of each historical user in the at least one historical user to the terminal.

6. A data processing method is applied to a terminal and is characterized by comprising the following steps:

acquiring keywords input by a user, and sending the keywords to a network server;

receiving a relevant user value sent by the network server, wherein the relevant user value is used for indicating the number of at least one historical user;

displaying the relevant user value;

acquiring a related user acquisition instruction triggered after the user browses the related user value, and sending the related user acquisition instruction to the network server, wherein the related user acquisition instruction is used for indicating the network server to issue a related user list and historical behavior data of each historical user in at least one historical user matched with the keyword to the terminal;

receiving the related user list and historical behavior data of each of at least one historical user matched with the keywords, wherein the related user list comprises an identification of each of the at least one historical user;

obtaining the historical user screening conditions set by the user, and reserving the historical users meeting the screening conditions in the at least one historical user;

generating a related user interface according to the historical users meeting the screening condition in the at least one historical user, wherein the related user interface only comprises the historical users meeting the screening condition in the at least one historical user, and the related user interface comprises the identification of each historical user in the at least one historical user;

and determining a target historical user selected by the user from the related user interface, and displaying historical behavior data of the selected target historical user.

7. A correlation user interface on a terminal, the correlation user interface comprising:

the system comprises a related user area, a screening condition option area and a time axis, wherein the related user area comprises an identifier of a historical user, the screening condition option area comprises at least one screening condition and a check box corresponding to each condition in the at least one screening condition, and the time axis comprises at least one time node;

wherein, after responding to the terminal receiving the relevant user value sent by the network server, displaying a search interface, and sending a relevant user acquisition instruction to the network server, the terminal receiving a relevant user list sent by the network server and historical behavior data of each historical user in at least one historical user, and displaying the relevant user interface, the at least one historical user being a historical user matched with the keyword input by the user on the display interface of the terminal, the relevant user list including an identifier of each historical user in the at least one historical user, the relevant user value being used for indicating the number of the at least one historical user, the relevant user value being sent by the network device after receiving the matching instruction sent by the terminal, the matching instruction including the keyword input by the user on a search box of the search interface of the terminal, the search interface comprises the relevant user numerical value and a search box, and the relevant user acquisition instruction is triggered after the user browses the relevant user numerical value;

and the terminal responds to the preset operation of the user in the relevant user area and displays a historical behavior data interface, wherein the historical behavior data interface comprises an identifier of a target historical user and historical behavior data of the target historical user, and the target historical user is a historical user selected by the user in the relevant user area by executing the preset operation.

8. A network server, comprising:

the receiving unit is used for receiving the matching instruction sent by the terminal; the matching instruction comprises a keyword input by a user at the terminal;

a determining unit, configured to search historical behavior data of all historical users in a preset historical time period stored by the network server with the keyword as an index, determine that, of all historical users in the preset historical time period, at least one historical user who has searched the keyword or an associated keyword of the keyword is at least one historical user matched with the keyword, and determine historical behavior data of each historical user of the at least one historical user;

the determining unit is further configured to determine a relevant user value, where the relevant user value is used to indicate the number of the at least one historical user;

a sending unit, configured to send the relevant user value to the terminal, so that the terminal displays the relevant user value;

the receiving unit is further configured to receive a relevant user acquisition instruction sent by the terminal; the related user acquisition instruction is triggered after the user browses the related user value;

a generating unit, configured to generate a related user list according to the at least one historical user, where the related user list includes an identifier of the at least one historical user;

the sending unit is further configured to send the relevant user list and the historical behavior data of each of the at least one historical user to a terminal, so that the terminal displays a relevant user interface according to the relevant user list, and displays the historical behavior data of a target historical user after determining the target historical user selected by the user from the relevant user interface.

9. The network server of claim 8, further comprising a ranking unit,

the sorting unit is configured to, after the determining unit determines the at least one historical user matched with the keyword and the historical behavior data of each historical user of the at least one historical user, arrange the at least one historical user according to a first preset order, and arrange the historical behavior data of each historical user of the at least one historical user according to a second preset order.

10. The network server according to claim 9, wherein the first preset order is a precedence order of the latest behavior time of the at least one historical user; the second preset sequence is the sequence of the occurrence time of the historical behaviors.

11. The network server according to claim 9, wherein the generating unit is specifically configured to determine an identifier of each of the at least one historical user, arrange the identifiers of the at least one historical user according to a sequence of the arranged at least one historical user, and generate the relevant user list according to the arranged identifiers of the at least one historical user.

12. The network server according to claim 9, wherein the sending unit is specifically configured to send the ranked historical behavior data of each of the at least one historical user to the terminal.

13. A terminal, comprising:

the acquiring unit is used for acquiring keywords input by a user;

a sending unit, configured to send the keyword obtained by the obtaining unit to a network server;

a receiving unit, configured to receive a relevant user value sent by the network server, where the relevant user value is used to indicate the number of at least one historical user;

a display unit for displaying the relevant user value;

the obtaining unit is further configured to obtain a related user obtaining instruction triggered after the user browses the related user numerical value, where the related user obtaining instruction is used to instruct the network server to issue, to the terminal, a related user list and historical behavior data of each of at least one historical user matched with the keyword;

the sending unit is further configured to send the relevant user acquisition instruction to the network server;

the receiving unit is further configured to receive the related user list and historical behavior data of each of at least one historical user matched with the keyword, where the related user list includes an identifier of each of the at least one historical user, and the related user list is sent by the network server;

the obtaining unit is further configured to obtain a historical user screening condition set by the user, and retain a historical user meeting the screening condition in the at least one historical user;

the display unit is further configured to generate a relevant user interface according to the historical users meeting the filtering condition in the at least one historical user, where the relevant user interface only includes the historical users meeting the filtering condition in the at least one historical user, and the relevant user interface includes an identifier of each of the at least one historical user;

the acquisition unit is further used for determining a target historical user selected by the user from the related user interface;

the display unit is further configured to display the historical behavior data of the target historical user determined by the obtaining unit.