WO2020078049A1 - 用户信息处理方法和装置、服务器及可读介质 - Google Patents

用户信息处理方法和装置、服务器及可读介质 Download PDF

Info

Publication number
WO2020078049A1
WO2020078049A1 PCT/CN2019/094993 CN2019094993W WO2020078049A1 WO 2020078049 A1 WO2020078049 A1 WO 2020078049A1 CN 2019094993 W CN2019094993 W CN 2019094993W WO 2020078049 A1 WO2020078049 A1 WO 2020078049A1
Authority
WO
WIPO (PCT)
Prior art keywords
user information
candidate user
candidate
information
user
Prior art date
Application number
PCT/CN2019/094993
Other languages
English (en)
French (fr)
Inventor
张伟
张奇
潘钰成
谢飞
李建新
Original Assignee
北京字节跳动网络技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京字节跳动网络技术有限公司 filed Critical 北京字节跳动网络技术有限公司
Publication of WO2020078049A1 publication Critical patent/WO2020078049A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/954—Navigation, e.g. using categorised browsing

Definitions

  • Embodiments of the present disclosure relate to the field of computer technology, for example, to user information processing methods and devices, servers, and readable media.
  • Users can use social platforms to publish works (such as articles, selfie videos, live videos, etc.) for other users to browse.
  • works such as articles, selfie videos, live videos, etc.
  • the user who publishes the work may be called an author
  • the user who browses the work may be called a reader.
  • users of social platforms can include multiple authors. Readers can browse the author's works through mobile phones, computers and other user terminals, and perform preset operations to establish an association with the author (for example, click the follow button displayed on the author's home page to follow the author) to become the author's associated user.
  • the embodiments of the present disclosure propose a user information processing method and device, a server, and a readable medium.
  • an embodiment of the present disclosure provides a user information processing method.
  • the method includes: obtaining a candidate user information set corresponding to a candidate user group, where the candidate users in the candidate user group correspond to the associated user information set, The associated user information in the associated user information set is used to indicate the associated user of the candidate user corresponding to the associated user information; based on the associated user information set corresponding to the candidate user in the candidate user group, the statistics of the associated user of the candidate user is determined Information, wherein the statistical information is used to characterize the degree of attention of the candidate user; based on the determined statistical information, one or more candidate user information is selected from the candidate user information set as the target user information.
  • an embodiment of the present disclosure provides a user information processing apparatus, the apparatus includes: an acquiring unit configured to acquire a candidate user information set corresponding to a candidate user group, wherein the candidate users in the candidate user group Corresponding to the associated user information set, the associated user information in the associated user information set is used to indicate the associated user of the candidate user corresponding to the associated user information; the determining unit is configured to be based on the associated user corresponding to the candidate user in the candidate user group Information set, to determine the statistical information of the associated user of the candidate user, wherein the statistical information is used to characterize the degree of attention of the candidate user; the selection unit is configured to select one from the candidate user information set based on the determined statistical information Or multiple candidate user information as target user information.
  • an embodiment of the present disclosure provides a server, including: one or more processors; a storage device, where one or more programs are stored on the storage device, and one or more programs are stored by one or more The processor executes, so that one or more processors implement the method described in the foregoing embodiment.
  • an embodiment of the present disclosure provides a computer-readable medium that stores a computer program on the computer-readable medium, and the computer program is executed by a processor to implement the method described in the foregoing embodiment.
  • FIG. 1 is a schematic diagram of an exemplary system architecture that can be applied to an embodiment of the present disclosure
  • FIG. 2 is a flowchart of a user information processing method according to an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of an application scenario of a user information processing method according to an embodiment of the present disclosure
  • FIG. 4 is a flowchart of another user information processing method according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic structural diagram of a user information processing device according to an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of a computer system for implementing a server according to an embodiment of the present disclosure.
  • FIG. 1 shows an exemplary system architecture 100 to which an embodiment of the user information processing method or user information processing apparatus of the present disclosure can be applied.
  • the system architecture 100 may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105.
  • the network 104 is used as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105.
  • the network 104 may include multiple connection types, such as wired, wireless communication links, or fiber optic cables, and so on.
  • the user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, and so on.
  • a variety of communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as social platform software, web browser applications, shopping applications, search applications, instant messaging tools, Mail client, etc.
  • the first terminal device 101, the second terminal device 102, and the third terminal device 103 may be hardware or software.
  • the first terminal device 101, the second terminal device 102, and the third terminal device 103 may be a variety of electronic devices including a display screen and supporting information transmission, including smartphones, tablet computers, e-book readers, dynamic Video Expert Compression Standard Audio Level 3 (Moving Pictures Experts Group Audio Layer III, MP3 player), Motion Image Expert Compression Standard Audio Level 4 (Moving Pictures Expert Group Audio Audio Layer IV, MP4) players, laptops and desktops Computers, etc.
  • the first terminal device 101, the second terminal device 102, and the third terminal device 103 are software, they can be installed in the electronic devices listed above.
  • the first terminal device 101, the second terminal device 102, and the third terminal device 103 may be implemented as multiple software or software modules (for example, multiple software or software modules used to provide distributed services), or may be implemented as a single software or Software module.
  • the server 105 may be a server that provides various services, for example, an information processing server that processes candidate user information sent by the first terminal device 101, the second terminal device 102, and the third terminal device 103.
  • the information processing server may perform analysis and other processing on the received candidate user information set and other data, and obtain processing results (for example, target user information).
  • the user information processing method provided by the embodiment of the present disclosure is generally executed by the server 105, and accordingly, the user information processing device is generally provided in the server 105.
  • the server may be hardware or software.
  • the server When the server is hardware, it can be implemented as a distributed server cluster composed of multiple servers or as a single server.
  • the server is software, it may be implemented as multiple software or software modules (for example, multiple software or software modules used to provide distributed services), or as a single software or software module.
  • the numbers of terminal devices, networks, and servers in FIG. 1 are only schematic. According to the implementation needs, the number of terminal devices, networks and servers can be adjusted.
  • the above system architecture may not include the network and terminal equipment, but only include the server.
  • a flow 200 of a user information processing method according to an embodiment of the present disclosure is shown.
  • the method includes steps 210 to 230.
  • Step 210 Acquire candidate user information sets corresponding to the candidate user group.
  • the execution subject of the user information processing method may acquire the candidate user information set corresponding to the candidate user group through a wired connection or a wireless connection.
  • the candidate user may be a user (such as an author) who inputs work information using a candidate user terminal (such as the terminal device shown in FIG. 1).
  • the work information may be information provided by the candidate user and used for sharing with other users (such as pictures and videos taken by the candidate user).
  • the candidate user information is user information of the candidate user.
  • User information is used to characterize the identity of the user, and may include at least one of the following: text, numbers, and symbols.
  • the user information may include the user's account information, name information, and gender information.
  • each candidate user in the candidate user group corresponds to one candidate user information in the candidate user information set.
  • the candidate user information may also include work information of the candidate user.
  • the above-mentioned executive agent may obtain a set of candidate user information stored in advance locally, or may obtain candidate user information sent by at least one candidate user terminal communicatively connected thereto to form a set of candidate user information.
  • each candidate user in the candidate user group may correspond to a set of associated user information.
  • the associated user information in the associated user set is used to indicate the associated user of the candidate user, and the associated user information is the user information of the associated user of the candidate user.
  • Associated users are users who have an association relationship with candidate users.
  • a user who browses the work information of a candidate user may establish an association relationship with the candidate user based on a pre-specified operation, and become an associated user of the candidate user.
  • the operation specified in advance may be a variety of operations related to the candidate user, for example, inputting comment information for commenting on the work information of the candidate user.
  • one or more candidate users in the candidate user group corresponds to an associated user information set. That is, it may not be that each candidate user in the candidate user group corresponds to an associated user information set, or that each candidate user in the candidate user group corresponds to an associated user information set.
  • the associated user information set includes at least one associated user information, and each associated user information is used to indicate the associated user of the candidate user corresponding to the associated user information.
  • the correspondence between the candidate user and the associated user information set can be established in various ways.
  • the user information of the candidate user and the user information of the associated user of the candidate user may be stored in association.
  • a label for marking the association relationship between the associated user and the candidate user may be added to the user information of the associated user of the candidate user.
  • the user information including the above tag is the associated user information corresponding to the candidate user.
  • the above-mentioned execution subject may acquire the candidate user information set corresponding to the candidate user group in response to receiving the target user information acquisition request.
  • the above-mentioned execution subject may be responsive to receiving a target user information acquisition request input by a user, or may be responsive to receiving a target user information acquisition request sent by an electronic device connected thereto.
  • the target user information is user information of candidate users in the candidate user group whose degree of attention meets a preset condition, for example, user information of the candidate user with the highest degree of attention.
  • Step 220 based on the related user information set corresponding to the candidate user in the candidate user group, determine the statistical information of the related user of the candidate user.
  • the execution subject may determine the Statistics of the associated users of the candidate users.
  • the statistical information is used to characterize the degree of attention of the candidate user, and may include at least one of the following: text, numbers, symbols, and charts.
  • the above-mentioned execution subject may perform statistics on the overall characteristics of the associated user corresponding to the candidate user based on the candidate user's associated user information set, and then obtain statistical information characterizing the candidate user's attention level.
  • the overall feature may be a predetermined feature that reflects the degree of attention of the candidate user, such as the number of associated users, the growth of associated users in a preset time period, and so on.
  • the above-mentioned executive body may determine the statistical information of the associated user of the candidate user through the following steps: the above-mentioned executive body may determine the correspondence of the candidate user The number of related user information in the related user information collection of.
  • the above-mentioned execution subject may determine the number of associated user information in the associated user information set corresponding to the determined candidate user as the number of associated users of the candidate user.
  • the above-mentioned execution subject may generate statistical information corresponding to the candidate user and including the number of associated users of the candidate user (for example, "number of associated users: 80"). It can be understood that, here, the related user information corresponds to the related users one-to-one, so the amount of related user information can be determined as the number of related users.
  • the associated user information includes association level information.
  • the association level information can be used to characterize the degree of association between the associated user and the candidate user.
  • the above-mentioned executive body can determine the statistical information of the associated user of the candidate user through the following steps: determine the candidate user based on the association level information in the associated user information set corresponding to the candidate user Statistics of users associated with.
  • the above-mentioned execution subject may adopt various methods to determine the statistical information of the associated user of the candidate user based on the associated level information.
  • the above-mentioned executive body may determine the candidate user through the following steps based on the association level information in the associated user information set corresponding to the candidate user Statistic information of related users of the above: the above-mentioned executive body can obtain the association level information characterized by the highest degree of association among the association level information included in the associated user information set corresponding to the candidate user; the above-mentioned execution body can generate the association including the obtained association Statistics of grade information.
  • the associated user information includes time information indicating the time when the associated user establishes an association relationship with the candidate user.
  • the above-mentioned executive body can determine the statistical information of the associated user of the candidate user through the following steps: The number of associated users who have established an association relationship with the candidate user within the target time period; the above-mentioned executive body may generate statistical information corresponding to the candidate user and including the determined number.
  • the duration of the target time period may be predetermined, for example, 1 hour, 1 day, etc.
  • the time starting point of the target time period may be preset or determined according to the time information in the associated user information corresponding to the candidate user, for example, the earliest time indicated by the time information in the associated user information may be used as the target time The starting point of the segment.
  • Step 230 Based on the determined statistical information, select one or more candidate user information from the candidate user information set as the target user information.
  • the execution subject may select one or more candidate user information from the candidate user information set as target user information based on the statistical information determined in step 220.
  • the executive body may output the selected target user information to an electronic device (for example, the terminal device shown in FIG. 1) communicatively connected to the executive body, so that the electronic device displays the target user information.
  • an electronic device for example, the terminal device shown in FIG. 1
  • the above-mentioned execution subject may adopt various methods, based on statistical information, select one or more candidate user information from the candidate user information set as the target user information.
  • the above-mentioned executive body may select one or more candidate user information from the candidate user information set as target user information through the following steps: according to the determined The degree of attention represented by the statistical information is in order from high to low, and a preset number of candidate user information is selected from the candidate user information set as the preset number of target user information. Among them, the preset number may be predetermined.
  • the statistical information includes the number of associated users of the candidate user.
  • the greater the number the higher the degree of attention of the candidate user represented by the statistical information. Therefore, the above-mentioned executive body may select a preset number of candidate user information from the candidate user information set as the preset number of target user information in the order of the number of associated users included in the statistical information from the largest to the smallest.
  • the preset number is 2.
  • the above-mentioned executive body can first select candidate user information b corresponding to candidate user B from the candidate user information set, and then select candidate user C.
  • candidate user information c can be used as two target user information.
  • the execution subject may also select candidate user information from the candidate user information set as target user information based on the statistical information and other information of the candidate user. For example, the candidate user information corresponding to the candidate user whose gender is male may be selected as the target user information from the candidate user information set based on the statistical information and gender information of the candidate user.
  • FIG. 3 is a schematic diagram of an application scenario of the user information processing method according to this embodiment.
  • the server 301 can obtain the candidate user information set 302 corresponding to the candidate user group stored in advance locally, where the candidate user information set 302 includes candidate user information 3021 of candidate user A, and candidate user B Candidate user information 3022 and candidate user information 3023 of candidate user C. Candidate user A, candidate user B, and candidate user C respectively correspond to related user information sets.
  • the associated user information is used to indicate the associated user of the candidate user.
  • the server 301 may acquire the associated user information set 303 corresponding to the candidate user A; acquire the associated user information set 304 corresponding to the candidate user B; and acquire the associated user information set 305 corresponding to the candidate user C.
  • the server 301 can determine the statistical information (eg, "the number of associated users: 60") 306 of the associated user of the candidate user based on the associated user information set 303 corresponding to the candidate user;
  • the statistical information (for example, "the number of associated users: 90") 307 of the associated user of the candidate user may be determined based on the associated user information set 304 corresponding to the candidate user;
  • the server 301 may be based on the correspondence of the candidate user Related user information set 305, determining the statistical information of the related users of the candidate user (for example, "the number of related users: 80") 308.
  • the statistical information can be used to characterize the degree of attention of the candidate user.
  • the server 301 may select candidate user information 3022 from the candidate user information set 302 as the target user information 309 based on the determined statistical information 306, 307, and 308.
  • the target user information 309 is the candidate user information with the largest number of associated users corresponding to the candidate user information set 302.
  • the above-mentioned execution subject may also output the target user information 309 to the terminal device 310.
  • the method provided by the above embodiment of the present disclosure effectively utilizes the related user information set corresponding to the candidate user to specifically determine the user information of the candidate user whose attention degree meets the preset condition, thereby improving the pertinence and diversity of information processing Sex.
  • FIG. 4 a flow 400 of another user information processing method according to an embodiment of the present disclosure is shown.
  • the method includes steps 410 to 440.
  • Step 410 Acquire candidate user information sets corresponding to the candidate user group.
  • the execution subject of the user information processing method may acquire the candidate user information set corresponding to the candidate user group through a wired connection method or a wireless connection method.
  • Step 420 based on the related user information set corresponding to the candidate user in the candidate user group, determine the statistical information of the related user of the candidate user.
  • the above-mentioned execution subject may determine the statistical information of the associated user of the candidate user based on the associated user information set corresponding to the candidate user.
  • the statistical information is used to characterize the degree of attention of the candidate user, and may include at least one of the following: text, numbers, symbols, and charts.
  • Step 430 Sort the candidate user information in the candidate user information set according to the order of the degree of attention characterized by the determined statistical information to obtain the candidate user information sequence.
  • the above-mentioned execution subject may sort the candidate user information in the candidate user information set in the order of the degree of attention characterized by the determined statistical information to obtain the candidate user information sequence.
  • the candidate user information in the candidate user information set may be sorted in the order of low to high degree of attention characterized by the determined statistical information to obtain the candidate user information sequence.
  • the above-mentioned execution subject may also sort the candidate user information in the candidate user information set according to the order of the degree of attention characterized by the determined statistical information, Obtain candidate user information sequences.
  • the statistical information includes the number of associated users of the candidate user, and the greater the number, the higher the degree of attention characterized by the statistical information.
  • the statistical information corresponding to candidate user A is "number of associated users: 60”
  • the statistical information corresponding to candidate user B is "number of associated users: 90”
  • the statistical information corresponding to candidate user C is "number of associated users: 70 ”. Since 90 is greater than 70 and greater than 60, the above-mentioned executive body can determine that candidate user B has the highest degree of attention, candidate user C has the second highest degree of attention, and candidate user A has the lowest degree of attention.
  • the above-mentioned execution subject can sort the candidate user information a of the candidate user A, the candidate user information b of the candidate user B, and the candidate user information c of the candidate user C in the order of the degree of attention, to obtain the candidate user information sequence "Candidate user information b; candidate user information c; candidate user information a".
  • Step 440 Select a preset number of candidate user information from the candidate user information sequence as the preset number of target user information.
  • the execution subject may select a preset number of candidate user information from the candidate user information sequence as the preset number of target user information. For example, in the case where the candidate user information in the candidate user information sequence is arranged in the order of low to high degree of attention characterized by the corresponding statistical information, the above-mentioned executive agent may select the ranked The preset number of candidate user information is used as the preset number of target user information.
  • the target user information is candidate user information for output to an electronic device (for example, the terminal device shown in FIG. 1) that is communicatively connected to the above-mentioned execution subject, so that the electronic device displays it.
  • the above-mentioned execution subject may For the candidate user information sequence, a preset number of candidate user information is selected from the beginning as the preset number of target user information (that is, for the candidate user information sequence, the preset number of candidate user information is selected from the beginning as the preset number of Target user information).
  • the preset number is 2.
  • the above-mentioned execution subject ranks the candidate user information a of candidate user A, the candidate user information b of candidate user B, and the candidate user information c of candidate user C in the order of the degree of attention characterized by the statistical information, to obtain The candidate user information sequence "candidate user information b; candidate user information c; candidate user information a".
  • the above-mentioned executive body may select the two candidate user information ranked first from the candidate user information sequence as the target user information, that is, select the candidate user information b and the candidate user information c as the two target user information.
  • step 410 and 420 are the same as the steps 210 and 220 in the foregoing embodiment, respectively.
  • the above description of step 210 and step 220 is also applicable to step 410 and step 420, which will not be repeated here.
  • the process 400 of the user information processing method in this embodiment highlights sorting the candidate user information in the candidate user information set to obtain the candidate user information sequence And select the target user information from the candidate user information sequence. Therefore, the solution described in this embodiment can rank the candidate users in the candidate user group based on the statistical information corresponding to the candidate users, and then select the target user information based on the ranking of the candidate users, which can be based on the selected target user Information, which more intuitively shows the degree of attention of candidate users, improves the diversity of information processing.
  • an embodiment of the present disclosure provides an embodiment of a user information processing device, which corresponds to the method embodiment shown in FIG. 2, and the device can be applied to various electronic devices.
  • the user information processing apparatus 500 of this embodiment includes: an obtaining unit 501, a determining unit 502, and a selecting unit 503.
  • the obtaining unit 501 is configured to obtain a candidate user information set corresponding to the candidate user group, wherein the candidate users in the candidate user group correspond to the associated user information set, and the associated user information in the associated user information set is used to indicate the associated user information
  • the associated user of the corresponding candidate user the determining unit 502 is configured to determine the statistical information of the associated user of the candidate user based on the associated user information set corresponding to the candidate user in the candidate user group, wherein the statistical information is used to characterize the The degree of attention of the candidate user;
  • the selection unit 503 is configured to select one or more candidate user information from the candidate user information set as target user information based on the determined statistical information.
  • the acquisition unit 501 of the user information processing apparatus 500 may acquire the candidate user information set corresponding to the candidate user group through a wired connection or a wireless connection.
  • each candidate user in the candidate user group may correspond to an associated user information set.
  • the associated user information is used to indicate the associated user of the candidate user, and is the user information of the associated user of the candidate user.
  • Associated users are users who have an association relationship with candidate users.
  • a user who browses the work information of a candidate user may establish an association relationship with the candidate user based on a pre-specified operation, and become an associated user of the candidate user.
  • the operation specified in advance may be a variety of operations related to the candidate user, for example, inputting comment information for commenting on the work information of the candidate user.
  • the determining unit 502 may determine the statistical information of the associated user of the candidate user based on the associated user information set corresponding to the candidate user.
  • the statistical information is used to characterize the degree of attention of the candidate user, and may include at least one of the following: text, numbers, symbols, and charts.
  • the selection unit 503 may select one or more candidate user information from the candidate user information set as target user information based on the statistical information determined by the determination unit 502.
  • the selection unit 503 may include: a sorting module (not shown in the figure) configured to rank candidates according to the level of attention expressed by the determined statistical information The candidate user information in the user information set is sorted to obtain the candidate user information sequence; the selection module (not shown in the figure) is configured to select a preset number of candidate user information from the candidate user information sequence as the preset number of targets User Info.
  • the sorting module may be configured to: perform candidate user information in the candidate user information set in the order of increasing attention level characterized by the determined statistical information Sort to obtain the candidate user information sequence.
  • the selection module may be configured to sequentially select a preset number of candidate user information from the beginning as the preset number of target user information for the candidate user information sequence.
  • the selection unit 503 may be configured to: select a preset number from the candidate user information set in the order of increasing attention level characterized by the determined statistical information
  • the candidate user information serves as the preset number of target user information.
  • the obtaining unit 501 may be configured to: in response to receiving the target user information obtaining request, obtain the candidate user information set corresponding to the candidate user group.
  • the determining unit 502 may include: a first determining module (not shown in the figure) configured to determine associated user information in the associated user information set corresponding to the candidate user
  • the number of the second determination module (not shown in the figure) is configured to determine the number of related user information in the set of related user information corresponding to the determined candidate user as the number of related users of the candidate user
  • the first generation module (not shown in the figure) is configured to generate statistical information corresponding to the candidate user and including the number of associated users of the candidate user.
  • the associated user information includes association level information, which is used to characterize the degree of association between the associated user and the candidate user; and the determination unit 502 may be configured to: based on the candidate user The associated level information in the corresponding associated user information set determines the statistical information of the associated user of the candidate user.
  • determining the statistical information of the associated user of the candidate user includes: obtaining the corresponding user of the candidate user Among the association level information included in the associated user information set, the highest degree of association is characterized as association level information; and statistical information including the obtained association level information is generated.
  • the associated user information includes time information indicating the time when the associated user establishes an association relationship with the candidate user; and the determining unit 502 may include: a third determining module (not shown in the figure) Out), it is configured to determine the number of associated users who establish an association relationship with the candidate user in the target time period based on the time information in the associated user information set corresponding to the candidate user; the second generation module (not shown in the figure) ), Configured to generate statistical information corresponding to the candidate user and including the number of associated users of the candidate user.
  • the units described in the device 500 correspond to the steps in the method described with reference to FIG. 2. Therefore, the operations, features, and beneficial effects described above for the method are also applicable to the device 500 and the units included therein, and details are not described herein again.
  • the device 500 provided by the above embodiment of the present disclosure effectively utilizes the associated user information set corresponding to the candidate user to specifically determine the user information of the candidate user whose degree of attention meets the preset condition, which improves the pertinence of information processing and Diversity.
  • FIG. 6 a schematic structural diagram of a computer system 600 suitable for implementing the server of the embodiment of the present disclosure is shown.
  • the server shown in FIG. 6 is only an example, and should not bring any limitation to the functions and use scope of the embodiments of the present disclosure.
  • the computer system 600 includes a central processing unit (Central Processing Unit, CPU) 601, and the CPU 601 can be loaded into the read-only memory (Read-only Memory, ROM) 602 program from the storage section 608 or Random access memory (Random Access Memory, RAM) 603 program to perform one or more appropriate actions and processes. In the RAM 603, one or more programs and data necessary for the operation of the system 600 are also stored.
  • the CPU 601, ROM 602, and RAM 603 are connected to each other through a bus 604.
  • An input / output (I / O) interface 605 is also connected to the bus 604.
  • the following components are connected to the I / O interface 605: input section 606 including keyboard, mouse, etc .; including output sections such as cathode-ray tube (Cathode-ray Tube, CRT), liquid crystal display (Liquid Crystal Display, LCD), etc. and speakers 607; a storage portion 608 including a hard disk and the like; and a communication portion 609 including a network interface card such as a local area network (Local Area Network, LAN) card, a modem, and the like.
  • the communication section 609 performs communication processing via a network such as the Internet.
  • the driver 610 is also connected to the I / O interface 605 as needed.
  • Removable media 611 such as magnetic disks, optical disks, magneto-optical disks, semiconductor memories, and the like, are installed on the drive 610 as needed, so that computer programs read from the removable media 611 are installed into the storage section 608 as needed.
  • the process described above with reference to the flowchart may be implemented as a computer software program.
  • embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing the method shown in the flowchart.
  • the computer program may be downloaded and installed from the network through the communication section 609, and / or installed from the removable medium 611.
  • the computer program is executed by the CPU 601, the above-mentioned functions defined in the method of the present disclosure are executed.
  • the computer-readable medium described in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or a combination of both.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or various combinations of the above.
  • Computer-readable storage media may include: electrical connection with one or more wires, portable computer disk, hard disk, RAM, ROM, erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM) or flash memory, optical fiber , Portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), optical storage device, magnetic storage device, or a suitable combination of the above.
  • the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal that is propagated in baseband or as part of a carrier wave, in which computer-readable program code is carried. This propagated data signal can take many forms, including electromagnetic signals, optical signals, or a suitable combination of the above.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. .
  • the program code contained on the computer-readable medium may be transmitted using any appropriate medium, including: wireless, wire, optical cable, radio frequency (RF), etc., or a suitable combination of the foregoing.
  • each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for implementing a prescribed logical function.
  • the functions marked in the blocks may also occur in an order different from that marked in the drawings. For example, two blocks shown in succession can actually be executed in parallel, and sometimes they can also be executed in reverse order, depending on the functions involved.
  • Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented with dedicated hardware-based systems that perform specified functions or operations, or can be dedicated hardware It is implemented in combination with computer instructions.
  • the units described in the embodiments of the present disclosure may be implemented in software or hardware.
  • the described unit may also be provided in the processor.
  • a processor includes an acquisition unit, a determination unit, and a selection unit.
  • the names of these units do not constitute a limitation on the unit itself.
  • the acquisition unit may also be described as a “unit for acquiring candidate user information sets”.
  • the present disclosure also provides a computer-readable medium.
  • the computer-readable medium may be included in the server described in the foregoing embodiments; or may exist alone without being assembled into the server.
  • the computer-readable medium carries one or more programs, and when the one or more programs are executed by the server, the server is caused to: obtain the candidate user information set corresponding to the candidate user group, where the candidates in the candidate user group The user corresponds to the associated user information set, and the associated user information in the associated user information set is used to indicate the associated user of the candidate user; based on the associated user information set corresponding to the candidate user in the candidate user group, the user's associated user's Statistical information, wherein the statistical information is used to characterize the degree of attention of the candidate user; based on the determined statistical information, the candidate user information is selected from the candidate user information set as the target user information.

Abstract

一种用户信息处理方法和装置、服务器及计算机可读介质。该方法包括：获取候选用户群所对应的候选用户信息集合（210），其中，候选用户群中的候选用户对应关联用户信息集合，关联用户信息集合中的关联用户信息用于指示候选用户的关联用户；基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息（220），其中，统计信息用于表征该候选用户的受关注程度；基于所确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息（230）。

Description

用户信息处理方法和装置、服务器及可读介质
本申请要求在2018年10月15日提交中国专利局、申请号为201811199242.2的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本公开实施例涉及计算机技术领域，例如涉及用户信息处理方法和装置、服务器及可读介质。
背景技术
用户可以利用社交平台发表作品(例如文章、自拍视频、直播视频等)，以供其他用户浏览。这里，可以将发表作品的用户称为作者，将浏览作品的用户称为读者。通常，社交平台的用户可以包括多个作者。读者可以通过手机、计算机等用户终端浏览作者的作品，并通过执行预设操作，与作者建立关联关系(例如点击作者主页中显示的关注按钮，以对作者进行关注)，成为作者的关联用户。
发明内容
本公开实施例提出了用户信息处理方法和装置、服务器及可读介质。
在一实施例中，本公开实施例提供了一种用户信息处理方法，该方法包括：获取候选用户群所对应的候选用户信息集合，其中，候选用户群中的候选用户对应关联用户信息集合，关联用户信息集合中的关联用户信息用于指示该关联用户信息对应的候选用户的关联用户；基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息，其中，统计信息用于表征该候选用户的受关注程度；基于所确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在一实施例中，本公开实施例提供了一种用户信息处理装置，该装置包括：获取单元，被配置成获取候选用户群所对应的候选用户信息集合，其中，候选用户群中的候选用户对应关联用户信息集合，关联用户信息集合中的关联用户信息用于指示该关联用户信息对应的候选用户的关联用户；确定单元，被配置成基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息，其中，统计信息用于表征该候选用户的受关注程度；选取单元，被配置成基于所确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在一实施例中，本公开实施例提供了一种服务器，包括：一个或多个处理 器；存储装置，该存储装置上存储有一个或多个程序，一个或多个程序被一个或多个处理器执行，使得一个或多个处理器实现上述实施例所述的方法。
在一实施例中，本公开实施例提供了一种计算机可读介质，该计算机可读介质上存储有计算机程序，该计算机程序被处理器执行时实现上述实施例所述的方法。
附图说明
图1是本公开实施例中的可以应用于示例性系统架构的示意图；
图2是根据本公开实施例的一种用户信息处理方法的流程图；
图3是根据本公开实施例的一种用户信息处理方法的应用场景的示意图；
图4是根据本公开实施例的另一种用户信息处理方法的流程图；
图5是根据本公开实施例的一种用户信息处理装置的结构示意图；
图6是本公开实施例提供的一种实现本公开实施例的服务器的计算机系统的结构示意图。
具体实施方式
下面结合附图和实施例对本公开进行说明。此处所描述的实施例仅仅用于解释相关公开，而非对该公开的限定。为了便于描述，附图中仅示出了与本公开相关的部分。
在不冲突的情况下，本公开中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本公开。
图1示出了可以应用本公开的用户信息处理方法或用户信息处理装置的实施例的示例性系统架构100。
如图1所示，系统架构100可以包括第一终端设备101、第二终端设备102、第三终端设备103，网络104和服务器105。网络104用以在第一终端设备101、第二终端设备102、第三终端设备103和服务器105之间提供通信链路的介质。网络104可以包括多种连接类型，例如有线、无线通信链路或者光纤电缆等等。
用户可以使用第一终端设备101、第二终端设备102、第三终端设备103通过网络104与服务器105交互，以接收或发送消息等。第一终端设备101、第二终端设备102、第三终端设备103上可以安装有多种通讯客户端应用，例如社交平台软件、网页浏览器应用、购物类应用、搜索类应用、即时通信工具、邮箱客户 端等。
第一终端设备101、第二终端设备102、第三终端设备103可以是硬件，也可以是软件。当第一终端设备101、第二终端设备102、第三终端设备103为硬件时，可以是包括显示屏并且支持信息传输的多种电子设备，包括智能手机、平板电脑、电子书阅读器、动态影像专家压缩标准音频层面3(Moving Picture Experts Group Audio Layer III，MP3播放器)、动态影像专家压缩标准音频层面4(Moving Picture Experts Group Audio Layer IV，MP4)播放器、膝上型便携计算机和台式计算机等等。当第一终端设备101、第二终端设备102、第三终端设备103为软件时，可以安装在上述所列举的电子设备中。第一终端设备101、第二终端设备102、第三终端设备103可以实现成多个软件或软件模块(例如用来提供分布式服务的多个软件或软件模块)，也可以实现成单个软件或软件模块。
服务器105可以是提供多种服务的服务器，例如对第一终端设备101、第二终端设备102、第三终端设备103发送的候选用户信息进行处理的信息处理服务器。信息处理服务器可以对接收到的候选用户信息集合等数据进行分析等处理，并获得处理结果(例如目标用户信息)。
本公开实施例所提供的用户信息处理方法一般由服务器105执行，相应地，用户信息处理装置一般设置于服务器105中。
在一实施例中，服务器可以是硬件，也可以是软件。当服务器为硬件时，可以实现成多个服务器组成的分布式服务器集群，也可以实现成单个服务器。当服务器为软件时，可以实现成多个软件或软件模块(例如用来提供分布式服务的多个软件或软件模块)，也可以实现成单个软件或软件模块。应该理解，图1中的终端设备、网络和服务器的数目仅仅是示意性的。根据实现需求，可以调整终端设备、网络和服务器的数目。在获得目标用户信息的过程中所使用的数据不需要从远程获取的情况下，上述系统架构可以不包括网络和终端设备，而只包括服务器。
继续参考图2，示出了根据本公开实施例的用户信息处理方法的流程200。该方法包括步骤210至步骤230。
步骤210，获取候选用户群所对应的候选用户信息集合。
在本实施例中，用户信息处理方法的执行主体(例如图1所示的服务器)可 以通过有线连接方式或者无线连接方式获取候选用户群所对应的候选用户信息集合。
其中，候选用户可以为利用候选用户终端(例如图1所示的终端设备)输入作品信息的用户(例如作者)。作品信息可以为候选用户提供的、用于与其他用户分享的信息(例如候选用户拍摄的图片、视频等)。候选用户信息为候选用户的用户信息。用户信息用于表征用户的身份，可以包括以下至少一项：文字、数字以及符号。作为示例，用户信息可以包括用户的账号信息、姓名信息以及性别信息等。在一实施例中，候选用户群中的每个候选用户对应候选用户信息集合中的一个候选用户信息。
在一实施例中，候选用户信息也可以包括候选用户的作品信息。
在一实施例中，上述执行主体可以获取预先存储于本地的候选用户信息集合，也可以获取与之通信连接的至少一个候选用户终端发送的候选用户信息，组成候选用户信息集合。
在一实施例中，候选用户群中的每个候选用户可以对应一个关联用户信息集合。关联用户集合中的关联用户信息用于指示候选用户的关联用户，关联用户信息为候选用户的关联用户的用户信息。关联用户为与候选用户具有关联关系的用户。实践中，浏览候选用户的作品信息的用户可以基于预先指定的操作与候选用户建立关联关系，成为候选用户的关联用户。这里，预先指定的操作可以为多种与候选用户相关的操作，例如，输入用于对候选用户的作品信息进行评论的评论用信息。
在一实施例中，候选用户群中的一个或多个候选用户对应一个关联用户信息集合。即，可以不是候选用户群中的每个候选用户都对应一个关联用户信息集合，也可以是候选用户群中的每个候选用户都对应一个关联用户信息集合。
在一实施例中，关联用户信息集合包括至少一个关联用户信息，每个关联用户信息用于指示该关联用户信息对应的候选用户的关联用户。
在一实施例中，候选用户与关联用户信息集合的对应关系可以通过多种方式建立。例如，可以关联存储候选用户的用户信息和候选用户的关联用户的用户信息。或者，可以在候选用户的关联用户的用户信息中添加用于标记关联用户与候选用户的关联关系的标签。进而，包括上述标签的用户信息即为候选用 户所对应的关联用户信息。
在本实施例的一些可选的实现方式中，上述执行主体可以响应于接收到目标用户信息获取请求，获取候选用户群所对应的候选用户信息集合。在一实施例中，上述执行主体可以响应于接收到用户输入的目标用户信息获取请求，也可以响应于接收到与之通信连接的电子设备发送的目标用户信息获取请求。目标用户信息为候选用户群中受关注程度满足预设条件的候选用户的用户信息，例如受关注程度最高的候选用户的用户信息。
步骤220，基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息。
在本实施例中，针对候选用户群中的候选用户，即针对候选用户群中有对应的关联用户信息集合的候选用户，上述执行主体可以基于该候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息。其中，统计信息用于表征候选用户的受关注程度，可以包括以下至少一项：文字，数字，符号以及图表。
在一实施例中，上述执行主体可以基于候选用户的关联用户信息集合，对候选用户所对应的关联用户的整体特征进行统计，进而获得用于表征候选用户的受关注程度的统计信息。其中，整体特征可以为预先确定的、用于反映候选用户的受关注程度的特征，例如关联用户的数量，预设时间段内关联用户的增长量等。
在本实施例的一些可选的实现方式中，针对候选用户群中的候选用户，上述执行主体可以通过以下步骤确定该候选用户的关联用户的统计信息：上述执行主体可以确定该候选用户所对应的关联用户信息集合中的关联用户信息的数量。上述执行主体可以将所确定的候选用户所对应的关联用户信息集合中的关联用户信息的数量，确定为该候选用户的关联用户的数量。上述执行主体可以生成该候选用户所对应的、包括该候选用户的关联用户的数量的统计信息(例如“关联用户数量：80”)。可以理解，在这里，关联用户信息与关联用户一一对应，故可以将关联用户信息的数量确定为关联用户的数量。
在本实施例的一些可选的实现方式中，关联用户信息包括关联等级信息。关联等级信息可以用于表征关联用户与候选用户的关联程度。进而，针对候选 用户群中的候选用户，上述执行主体可以通过以下步骤确定该候选用户的关联用户的统计信息：基于该候选用户所对应的关联用户信息集合中的关联等级信息，确定该候选用户的关联用户的统计信息。
在一实施例中，上述执行主体可以采用多种方法，基于关联等级信息，确定候选用户的关联用户的统计信息。
在本实施例的一些可选的实现方式中，针对候选用户群中的候选用户，上述执行主体可以基于该候选用户所对应的关联用户信息集合中的关联等级信息，通过以下步骤确定该候选用户的关联用户的统计信息：上述执行主体可以获取该候选用户所对应的关联用户信息集合所包括的关联等级信息中，所表征的关联程度最高关联等级信息；上述执行主体可以生成包括所获取的关联等级信息的统计信息。
在本实施例的一些可选的实现方式中，关联用户信息包括用于指示关联用户与候选用户建立关联关系的时间的时间信息。进而，针对候选用户群中的候选用户，上述执行主体可以通过以下步骤确定该候选用户的关联用户的统计信息：上述执行主体可以基于该候选用户所对应的关联用户信息集合中的时间信息，确定目标时间段内与该候选用户建立关联关系的关联用户的数量；上述执行主体可以生成该候选用户所对应的、包括所确定的数量的统计信息。其中，目标时间段的时长可以预先确定，例如1小时、1天等。目标时间段的时间起点可以是预设的、也可以是根据候选用户所对应的关联用户信息中的时间信息确定的，例如可以将关联用户信息中的时间信息所指示的最早的时间作为目标时间段的时间起点。
步骤230，基于所确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在本实施例中，上述执行主体可以基于步骤220中确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
实践中，上述执行主体可以将所选取的目标用户信息输出给与上述执行主体通信连接的电子设备(例如图1所示的终端设备)，以使电子设备对目标用户信息进行显示。
在一实施例中，上述执行主体可以采用多种方法，基于统计信息，从候选 用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在本实施例的一些可选的实现方式中，基于所确定的统计信息，上述执行主体可以通过以下步骤从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息：按照所确定的统计信息所表征的受关注程度由高到低的顺序，从候选用户信息集合中选取预设数量个候选用户信息作为预设数量个目标用户信息。其中，预设数量可以预先确定。
作为示例，统计信息包括候选用户的关联用户的数量，数量越多，统计信息所表征的候选用户的受关注程度越高。因此上述执行主体可以按照统计信息所包括的关联用户的数量由多到少的顺序，从候选用户信息集合中选取预设数量个候选用户信息作为预设数量个目标用户信息。例如，预设数量为2。候选用户A所对应的统计信息为“关联用户数量：60”；候选用户B所对应的统计信息为“关联用户数量：90”；候选用户C所对应的统计信息为“关联用户数量：70”。则上述执行主体按照统计信息所包括的关联用户的数量由多到少的顺序，可以从候选用户信息集合中首先选取出候选用户B所对应的候选用户信息b，然后选取出候选用户C所对应的候选用户信息c。进而上述执行主体可以将选取出的候选用户信息b和候选用户信息c作为两个目标用户信息。
另外，上述执行主体还可以基于统计信息以及候选用户的其他信息，从候选用户信息集合中选取候选用户信息作为目标用户信息。例如，可以基于候选用户的统计信息和性别信息，从候选用户信息集合中选取性别为男性的候选用户所对应的候选用户信息作为目标用户信息。
继续参见图3，图3是根据本实施例的用户信息处理方法的应用场景的一个示意图。
在图3的应用场景中，服务器301可以获取预先存储于本地的、候选用户群所对应的候选用户信息集合302，其中，候选用户信息集合302包括候选用户A的候选用户信息3021、候选用户B的候选用户信息3022和候选用户C的候选用户信息3023。候选用户A、候选用户B、候选用户C分别对应关联用户信息集合。这里，关联用户信息用于指示候选用户的关联用户。
服务器301可以获取候选用户A所对应的关联用户信息集合303；获取候选用户B所对应的关联用户信息集合304；以及获取候选用户C所对应的关联用户信息 集合305。
针对候选用户A，服务器301可以基于该候选用户所对应的关联用户信息集合303，确定该候选用户的关联用户的统计信息(例如“关联用户数量：60”)306；针对候选用户B，服务器301可以基于该候选用户所对应的关联用户信息集合304，确定该候选用户的关联用户的统计信息(例如“关联用户数量：90”)307；针对候选用户C，服务器301可以基于该候选用户所对应的关联用户信息集合305，确定该候选用户的关联用户的统计信息(例如“关联用户数量：80”)308。这里，统计信息可以用于表征候选用户的受关注程度。
服务器301可以基于所确定的统计信息306、307、308，从候选用户信息集合302中选取候选用户信息3022作为目标用户信息309。这里，目标用户信息309为候选用户信息集合302中所对应的关联用户数量最多的候选用户信息。
另外，上述执行主体还可以将目标用户信息309输出给终端设备310。
本公开的上述实施例提供的方法有效利用候选用户所对应的关联用户信息集合，针对性地确定出了受关注程度满足预设条件的候选用户的用户信息，提高了信息处理的针对性和多样性。
参考图4，示出了本公开实施例的另一种用户信息处理方法的流程400。该方法包括步骤410至步骤440。
步骤410，获取候选用户群所对应的候选用户信息集合。
在本实施例中，用户信息处理方法的执行主体(例如图1所示的服务器)可以通过有线连接方式或者无线连接方式获取候选用户群所对应的候选用户信息集合。
步骤420，基于候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息。
在本实施例中，针对候选用户群中的候选用户，上述执行主体可以基于该候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息。其中，统计信息用于表征候选用户的受关注程度，可以包括以下至少一项：文字，数字，符号以及图表。
步骤430，按照所确定的统计信息所表征的受关注程度的高低顺序，对候选 用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
在本实施例中，上述执行主体可以按照所确定的统计信息所表征的受关注程度的高低顺序，对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。例如，可以按照所确定的统计信息所表征的受关注程度由低到高的顺序，对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
在本实施例的一些可选的实现方式中，上述执行主体还可以按照所确定的统计信息所表征的受关注程度由高到低的顺序，对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
作为示例，统计信息包括候选用户的关联用户的数量，数量越多，统计信息所表征的受关注程度越高。则针对候选用户A所对应的统计信息为“关联用户数量：60”、候选用户B所对应的统计信息为“关联用户数量：90”以及候选用户C所对应的统计信息为“关联用户数量：70”，由于90大于70大于60，故上述执行主体可以确定出候选用户B的受关注程度最高，候选用户C的受关注程度次之，候选用户A的受关注程度最低。进而上述执行主体可以按照受关注程度由高到低的顺序对候选用户A的候选用户信息a、候选用户B的候选用户信息b、候选用户C的候选用户信息c进行排序，获得候选用户信息序列“候选用户信息b；候选用户信息c；候选用户信息a”。
步骤440，从候选用户信息序列中选取预设数量个候选用户信息作为预设数量个目标用户信息。
在本实施例中，基于步骤430中得到的候选用户信息序列，上述执行主体可以从候选用户信息序列中选取预设数量个候选用户信息作为预设数量个目标用户信息。例如，在候选用户信息序列中的候选用户信息按照所对应的统计信息所表征的受关注程度由低到高的顺序排列的情况下，上述执行主体可以从候选用户信息序列中选取排序在后的预设数量个候选用户信息作为预设数量个目标用户信息。其中，目标用户信息为用于输出给与上述执行主体通信连接的电子设备(例如图1所示的终端设备)，以使电子设备对其进行显示的候选用户信息。
在本实施例的一些可选的实现方式中，在候选用户信息序列中的候选用户信息按照所对应的统计信息所表征的受关注程度由高到低的顺序排列的情况 下，上述执行主体可以针对候选用户信息序列，从头顺序选取预设数量个候选用户信息作为预设数量个目标用户信息(即，针对所述候选用户信息序列，从头顺序选取预设数量个候选用户信息作为预设数量个目标用户信息)。
作为示例，预设数量为2。上述执行主体按照统计信息所表征的受关注程度由高到低的顺序，对候选用户A的候选用户信息a、候选用户B的候选用户信息b、候选用户C的候选用户信息c进行排序，获得候选用户信息序列“候选用户信息b；候选用户信息c；候选用户信息a”。进而，上述执行主体可以从候选用户信息序列中选取排序在前的两个候选用户信息作为目标用户信息，即选取候选用户信息b和候选用户信息c作为两个目标用户信息。
上述步骤410、步骤420分别与前述实施例中的步骤210、步骤220一致，上文针对步骤210和步骤220的描述也适用于步骤410和步骤420，此处不再赘述。
从图4中可以看出，与图2对应的实施例相比，本实施例中的用户信息处理方法的流程400突出了对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列，并从候选用户信息序列中选取目标用户信息的步骤。由此，本实施例描述的方案可以基于候选用户所对应的统计信息，对候选用户群中的候选用户进行排名，进而基于候选用户的排名，选取目标用户信息，从而可以基于所选取的目标用户信息，更为直观地展现候选用户的受关注程度，提高了信息处理的多样性。
参考图5，本公开实施例提供了一种用户信息处理装置的一个实施例，该装置实施例与图2所示的方法实施例相对应，该装置可以应用于多种电子设备中。
如图5所示，本实施例的用户信息处理装置500包括：获取单元501、确定单元502和选取单元503。其中，获取单元501被配置成获取候选用户群所对应的候选用户信息集合，其中，候选用户群中的候选用户对应关联用户信息集合，关联用户信息集中的关联用户信息用于指示该关联用户信息对应的候选用户的关联用户；确定单元502被配置成基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息，其中，统计信息用于表征该候选用户的受关注程度；选取单元503被配置成基于所确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在本实施例中，用户信息处理装置500的获取单元501可以通过有线连接方 式或者无线连接方式获取候选用户群所对应的候选用户信息集合。
在本实施例中，候选用户群中的每个候选用户可以对应一个关联用户信息集合。关联用户信息用于指示候选用户的关联用户，为候选用户的关联用户的用户信息。关联用户为与候选用户具有关联关系的用户。实践中，浏览候选用户的作品信息的用户可以基于预先指定的操作与候选用户建立关联关系，成为候选用户的关联用户。这里，预先指定的操作可以为多种与候选用户相关的操作，例如，输入用于对候选用户的作品信息进行评论的评论用信息。
在本实施例中，针对候选用户群中的候选用户，确定单元502可以基于该候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息。其中，统计信息用于表征候选用户的受关注程度，可以包括以下至少一项：文字，数字，符号以及图表。
在本实施例中，选取单元503可以基于确定单元502确定的统计信息，从候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
在本实施例的一些可选的实现方式中，选取单元503可以包括：排序模块(图中未示出)，被配置成按照所确定的统计信息所表征的受关注程度的高低顺序，对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列；选取模块(图中未示出)，被配置成从候选用户信息序列中选取预设数量个候选用户信息作为预设数量个目标用户信息。
在本实施例的一些可选的实现方式中，排序模块可以被配置成：按照所确定的统计信息所表征的受关注程度由高到低的顺序，对候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
在本实施例的一些可选的实现方式中，选取模块可以被配置成：针对候选用户信息序列，从头顺序选取预设数量个候选用户信息作为预设数量个目标用户信息。
在本实施例的一些可选的实现方式中，选取单元503可以被配置成：按照所确定的统计信息所表征的受关注程度由高到低的顺序，从候选用户信息集合中选取预设数量个候选用户信息作为预设数量个目标用户信息。
在本实施例的一些可选的实现方式中，获取单元501可以被配置成：响应于接收到目标用户信息获取请求，获取候选用户群所对应的候选用户信息集合。
在本实施例的一些可选的实现方式中，确定单元502可以包括：第一确定模块(图中未示出)，被配置成确定该候选用户所对应的关联用户信息集合中的关联用户信息的数量；第二确定模块(图中未示出)，被配置成将所确定候选用户所对应的关联用户信息集合中的关联用户信息的的数量，确定为该候选用户的关联用户的数量；第一生成模块(图中未示出)，被配置成生成该候选用户所对应的、包括该候选用户的关联用户的数量的统计信息。
在本实施例的一些可选的实现方式中，关联用户信息包括关联等级信息，关联等级信息用于表征关联用户与候选用户的关联程度；以及确定单元502可以被配置成：基于该候选用户所对应的关联用户信息集合中的关联等级信息，确定该候选用户的关联用户的统计信息。
在本实施例的一些可选的实现方式中，基于该候选用户所对应的关联用户信息集合中的关联等级信息，确定该候选用户的关联用户的统计信息，包括：获取该候选用户所对应的关联用户信息集合所包括的关联等级信息中，所表征的关联程度最高关联等级信息；生成包括所获取的关联等级信息的统计信息。
在本实施例的一些可选的实现方式中，关联用户信息包括用于指示关联用户与候选用户建立关联关系的时间的时间信息；以及确定单元502可以包括：第三确定模块(图中未示出)，被配置成基于该候选用户所对应的关联用户信息集合中的时间信息，确定目标时间段内与该候选用户建立关联关系的关联用户的数量；第二生成模块(图中未示出)，被配置成生成该候选用户所对应的、包括该候选用户的关联用户的数量的统计信息。
该装置500中记载的诸单元与参考图2描述的方法中的步骤相对应。由此，上文针对方法描述的操作、特征以及产生的有益效果同样适用于装置500及其中包含的单元，在此不再赘述。
本公开的上述实施例提供的装置500有效利用候选用户所对应的关联用户信息集合，针对性地确定出了受关注程度满足预设条件的候选用户的用户信息，提高了信息处理的针对性和多样性。
下面参考图6，示出了适于用来实现本公开实施例的服务器的计算机系统600的结构示意图。图6示出的服务器仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。
如图6所示，计算机系统600包括中央处理单元(Central Processing Unit，CPU)601，CPU 601可以根据存储在只读存储器(Read-only Memory，ROM)602中的程序或者从存储部分608加载到随机访问存储器(Random Access Memory，RAM)603中的程序而执行一种或多种适当的动作和处理。在RAM 603中，还存储有系统600操作所需的一种或多种程序和数据。CPU 601、ROM 602以及RAM 603通过总线604彼此相连。输入/输出(Input/Output，I/O)接口605也连接至总线604。
以下部件连接至I/O接口605：包括键盘、鼠标等的输入部分606；包括诸如阴极射线管(Cathode-ray Tube，CRT)、液晶显示器(Liquid Crystal Display，LCD)等以及扬声器等的输出部分607；包括硬盘等的存储部分608；以及包括诸如局域网(Local Area Network，LAN)卡、调制解调器等的网络接口卡的通信部分609。通信部分609经由诸如因特网的网络执行通信处理。驱动器610也根据需要连接至I/O接口605。可拆卸介质611，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器610上，以便于从可拆卸介质611上读出的计算机程序根据需要被安装入存储部分608。
根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，所述计算机程序产品包括承载在计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信部分609从网络上被下载和安装，和/或从可拆卸介质611被安装。在该计算机程序被CPU601执行时，执行本公开的方法中限定的上述功能。本公开所述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者以上的多种组合。计算机可读存储介质可以包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、RAM、ROM、可擦式可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM)或闪存、光纤、便携式紧凑磁盘只读存储器(Compact Disc Read-Only Memory，CD-ROM)、光存储器件、磁存储器件、或者上述的合适的组合。在本公开中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而 在本公开中，计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括电磁信号、光信号或上述的合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括：无线、电线、光缆、射频(Radio Frequency，RF)等等，或者上述的合适的组合。
附图中的流程图和框图，图示了按照本公开一种或多种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本公开实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现。所描述的单元也可以设置在处理器中，例如，可以描述为：一种处理器包括获取单元、确定单元和选取单元。其中，这些单元的名称在某种情况下并不构成对该单元本身的限定，例如，获取单元还可以被描述为“获取候选用户信息集合的单元”。
作为另一方面，本公开还提供了一种计算机可读介质，该计算机可读介质可以是上述实施例中描述的服务器中所包含的；也可以是单独存在，而未装配入该服务器中。上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该服务器执行时，使得该服务器：获取候选用户群所对应的候选用户信息集合，其中，候选用户群中的候选用户对应关联用户信息集合，关联用户信息集合中的关联用户信息用于指示候选用户的关联用户；基于该候选用户群中的候选用户所对应的关联用户信息集合，确定该候选用户的关联用户的统计信息，其中，统计信息用于表征该候选用户的受关注程度；基于所确定的 统计信息，从候选用户信息集合中选取候选用户信息作为目标用户信息。

Claims (22)

  1. 一种用户信息处理方法，包括：
    获取候选用户群所对应的候选用户信息集合，其中，所述候选用户群中的候选用户对应关联用户信息集合，所述关联用户信息集合中的关联用户信息用于指示所述关联用户信息对应的候选用户的关联用户；
    基于所述候选用户群中的候选用户所对应的关联用户信息集合，确定所述候选用户的关联用户的统计信息，其中，统计信息用于表征所述候选用户的受关注程度；
    基于所确定的统计信息，从所述候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
  2. 根据权利要求1所述的方法，其中，所述基于所确定的统计信息，从所述候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息，包括：
    按照所确定的统计信息所表征的受关注程度的高低顺序，对所述候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列；
    从所述候选用户信息序列中选取预设数量个所述候选用户信息作为预设数量个所述目标用户信息。
  3. 根据权利要求2所述的方法，其中，所述按照所确定的统计信息所表征的受关注程度的高低顺序，对所述候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列，包括：
    按照所确定的统计信息所表征的受关注程度由高到低的顺序，对所述候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
  4. 根据权利要求3所述的方法，其中，所述从所述候选用户信息序列中选取预设数量个候选用户信息作为预设数量个目标用户信息，包括：
    针对所述候选用户信息序列，从头顺序选取预设数量个候选用户信息作为预设数量个目标用户信息。
  5. 根据权利要求1所述的方法，其中，所述基于所确定的统计信息，从所述候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息，包括：
    按照所确定的统计信息所表征的受关注程度由高到低的顺序，从所述候选用户信息集合中选取预设数量个所述候选用户信息作为预设数量个所述目标用户信息。
  6. 根据权利要求1所述的方法，其中，所述获取候选用户群所对应的候选用户信息集合，包括：
    响应于接收到目标用户信息获取请求，获取候选用户群所对应的候选用户信息集合。
  7. 根据权利要求1-6中任一项所述的方法，其中，所述基于所述候选用户所对应的关联用户信息集合，确定所述候选用户的关联用户的统计信息，包括：
    确定所述候选用户所对应的关联用户信息集合中的关联用户信息的数量；
    将所确定的所述候选用户所对应的关联用户信息集合中的关联用户信息的数量，确定为所述候选用户的关联用户的数量；
    生成所述候选用户所对应的、包括所述候选用户的关联用户的数量的统计信息。
  8. 根据权利要求1-6中任一项所述的方法，其中，所述关联用户信息包括关联等级信息，关联等级信息用于表征关联用户与候选用户的关联程度；
    所述基于所述候选用户所对应的关联用户信息集合，确定所述候选用户的关联用户的统计信息，包括：
    基于所述候选用户所对应的关联用户信息集合中的关联等级信息，确定所述候选用户的关联用户的统计信息。
  9. 根据权利要求8所述的方法，其中，所述基于所述候选用户所对应的关联用户信息集合中的关联等级信息，确定所述候选用户的关联用户的统计信息，包括：
    获取所述候选用户所对应的关联用户信息集合所包括的关联等级信息中，所表征的关联程度最高关联等级信息；
    生成包括所获取的关联等级信息的统计信息。
  10. 根据权利要求1-6中任一项所述的方法，其中，所述关联用户信息包括用于指示关联用户与候选用户建立关联关系的时间的时间信息；
    所述基于所述候选用户所对应的关联用户信息集合，确定所述候选用户的关联用户的统计信息，包括：
    基于所述候选用户所对应的关联用户信息集合中的时间信息，确定目标时间段内与所述候选用户建立关联关系的关联用户的数量；
    生成所述候选用户所对应的、包括所确定的数量的统计信息。
  11. 一种用户信息处理装置，包括：
    获取单元，被配置成获取候选用户群所对应的候选用户信息集合，其中，所述候选用户群中的候选用户对应关联用户信息集合，所述关联用户信息集合 中的关联用户信息用于指示所述关联用户信息对应的候选用户的关联用户；
    确定单元，被配置成基于所述候选用户群中的候选用户所对应的关联用户信息集合，确定所述候选用户的关联用户的统计信息，其中，统计信息用于表征所述候选用户的受关注程度；
    选取单元，被配置成基于所确定的统计信息，从所述候选用户信息集合中选取一个或多个候选用户信息作为目标用户信息。
  12. 根据权利要求11所述的装置，其中，所述选取单元包括：
    排序模块，被配置成按照所确定的统计信息所表征的受关注程度的高低顺序，对所述候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列；
    选取模块，被配置成从所述候选用户信息序列中选取预设数量个所述候选用户信息作为预设数量个所述目标用户信息。
  13. 根据权利要求12所述的装置，其中，所述排序模块是被配置成：
    按照所确定的统计信息所表征的受关注程度由高到低的顺序，对所述候选用户信息集合中的候选用户信息进行排序，获得候选用户信息序列。
  14. 根据权利要求13所述的装置，其中，所述选取模块是被配置成：
    针对所述候选用户信息序列，从头顺序选取预设数量个候选用户信息作为预设数量个目标用户信息。
  15. 根据权利要求11所述的装置，其中，所述选取单元是被配置成：
    按照所确定的统计信息所表征的受关注程度由高到低的顺序，从所述候选用户信息集合中选取预设数量个所述候选用户信息作为预设数量个所述目标用户信息。
  16. 根据权利要求11所述的装置，其中，所述获取单元是被配置成：
    响应于接收到目标用户信息获取请求，获取候选用户群所对应的候选用户信息集合。
  17. 根据权利要求11-16中任一项所述的装置，其中，所述确定单元包括：
    第一确定模块，被配置成确定所述候选用户所对应的关联用户信息集合中的关联用户信息的数量；
    第二确定模块，被配置成将所确定的所述候选用户所对应的关联用户信息集合中的关联用户信息的数量，确定为所述候选用户的关联用户的数量；
    第一生成模块，被配置成生成所述候选用户所对应的、包括所述候选用户 的关联用户的数量的统计信息。
  18. 根据权利要求11-16中任一项所述的装置，其中，关联用户信息包括关联等级信息，关联等级信息用于表征关联用户与候选用户的关联程度；
    所述确定单元是被配置成：
    基于所述候选用户所对应的关联用户信息集合中的关联等级信息，确定所述候选用户的关联用户的统计信息。
  19. 根据权利要求18所述的装置，其中，所述基于所述候选用户所对应的关联用户信息集合中的关联等级信息，确定所述候选用户的关联用户的统计信息，包括：
    获取所述候选用户所对应的关联用户信息集合所包括的关联等级信息中，所表征的关联程度最高关联等级信息；
    生成包括所获取的关联等级信息的统计信息。
  20. 根据权利要求11-16中任一项所述的装置，其中，关联用户信息包括用于指示关联用户与候选用户建立关联关系的时间的时间信息；
    所述确定单元包括：
    第三确定模块，被配置成基于所述候选用户所对应的关联用户信息集合中的时间信息，确定目标时间段内与所述候选用户建立关联关系的关联用户的数量；
    第二生成模块，被配置成生成所述候选用户所对应的、包括所确定的数量的统计信息。
  21. 一种服务器，包括：
    一个或多个处理器；
    存储装置，所述存储装置存储有一个或多个程序，
    所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-10中任一项所述的方法。
  22. 一种计算机可读介质，所述计算机可读介质上存储有计算机程序，其中，所述所述计算机程序被处理器执行时实现如权利要求1-10中任一项所述的方法。
PCT/CN2019/094993 2018-10-15 2019-07-08 用户信息处理方法和装置、服务器及可读介质 WO2020078049A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811199242.2A CN109190058A (zh) 2018-10-15 2018-10-15 用于处理信息的方法和装置
CN201811199242.2 2018-10-15

Publications (1)

Publication Number Publication Date
WO2020078049A1 true WO2020078049A1 (zh) 2020-04-23

Family

ID=64945086

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/094993 WO2020078049A1 (zh) 2018-10-15 2019-07-08 用户信息处理方法和装置、服务器及可读介质

Country Status (2)

Country Link
CN (1) CN109190058A (zh)
WO (1) WO2020078049A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190058A (zh) * 2018-10-15 2019-01-11 北京字节跳动网络技术有限公司 用于处理信息的方法和装置

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770487A (zh) * 2008-12-26 2010-07-07 聚友空间网络技术有限公司 社交网络中用户影响力的计算方法和系统
CN103514215A (zh) * 2012-06-28 2014-01-15 北京奇虎科技有限公司 生成用户社交影响力信息的方法及装置
US20170171336A1 (en) * 2015-12-15 2017-06-15 Le Holdings (Beijing) Co., Ltd. Method and electronic device for information recommendation
CN107193984A (zh) * 2017-05-25 2017-09-22 上海喆之信息科技有限公司 一种高质量的用户推荐系统
CN107832572A (zh) * 2016-09-14 2018-03-23 腾讯科技（深圳）有限公司 用户影响力值生成方法和装置
CN109190058A (zh) * 2018-10-15 2019-01-11 北京字节跳动网络技术有限公司 用于处理信息的方法和装置

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104092567B (zh) * 2014-06-26 2017-10-27 华为技术有限公司 确定用户的影响力排序的方法与装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101770487A (zh) * 2008-12-26 2010-07-07 聚友空间网络技术有限公司 社交网络中用户影响力的计算方法和系统
CN103514215A (zh) * 2012-06-28 2014-01-15 北京奇虎科技有限公司 生成用户社交影响力信息的方法及装置
US20170171336A1 (en) * 2015-12-15 2017-06-15 Le Holdings (Beijing) Co., Ltd. Method and electronic device for information recommendation
CN107832572A (zh) * 2016-09-14 2018-03-23 腾讯科技（深圳）有限公司 用户影响力值生成方法和装置
CN107193984A (zh) * 2017-05-25 2017-09-22 上海喆之信息科技有限公司 一种高质量的用户推荐系统
CN109190058A (zh) * 2018-10-15 2019-01-11 北京字节跳动网络技术有限公司 用于处理信息的方法和装置

Also Published As

Publication number Publication date
CN109190058A (zh) 2019-01-11

Similar Documents

Publication Publication Date Title
CN106792242B (zh) 用于推送信息的方法和装置
CN109446442B (zh) 用于处理信息的方法和装置
CN107426328B (zh) 信息推送方法和装置
CN111800671B (zh) 用于对齐段落和视频的方法和装置
CN109862100B (zh) 用于推送信息的方法和装置
CN108595448B (zh) 信息推送方法和装置
CN110619078B (zh) 用于推送信息的方法和装置
CN108646972B (zh) 用于显示信息、查找信息的方法和设备
US11706172B2 (en) Method and device for sending information
US11244153B2 (en) Method and apparatus for processing information
CN109413056B (zh) 用于处理信息的方法和装置
WO2020078050A1 (zh) 评论信息处理方法和装置、服务器、终端及可读介质
CN110866040A (zh) 用户画像生成方法、装置和系统
CN108600780B (zh) 用于推送信息的方法、电子设备、计算机可读介质
CN108600329B (zh) 用于推送信息、展示信息的方法和设备
WO2020088048A1 (zh) 处理信息的方法和装置
CN109992719B (zh) 用于确定推送优先级信息的方法和装置
CN110673886B (zh) 用于生成热力图的方法和装置
CN111262744B (zh) 多媒体信息发送方法、备份服务器及介质
CN113139082A (zh) 多媒体内容处理方法、装置、设备及介质
WO2020078049A1 (zh) 用户信息处理方法和装置、服务器及可读介质
CN111125502B (zh) 用于生成信息的方法和装置
CN109951380B (zh) 用于查找会话消息的方法、电子设备和计算机可读介质
CN109522429B (zh) 用于生成信息的方法和装置
CN109472028B (zh) 用于生成信息的方法和装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19873624

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 29/07/2021)

122 Ep: pct application non-entry in european phase

Ref document number: 19873624

Country of ref document: EP

Kind code of ref document: A1