CN113742581A - List generation method and device, electronic equipment and readable storage medium - Google Patents

List generation method and device, electronic equipment and readable storage medium Download PDF

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CN113742581A
CN113742581A CN202110969294.9A CN202110969294A CN113742581A CN 113742581 A CN113742581 A CN 113742581A CN 202110969294 A CN202110969294 A CN 202110969294A CN 113742581 A CN113742581 A CN 113742581A
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information
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CN113742581B (en
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赵辉
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Beijing Baidu Netcom Science and Technology Co Ltd
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Abstract

The disclosure relates to the technical field of computers, particularly to the technical field of data processing, and particularly relates to a list generation method and device, electronic equipment and a readable storage medium. The specific implementation scheme is as follows: acquiring at least one kind of business data associated with the list data of the target list; determining list data based on the business data; acquiring list information associated with the target list; and generating a target list based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.

Description

List generation method and device, electronic equipment and readable storage medium
Technical Field
The disclosure relates to the technical field of computers, particularly to the technical field of data processing, and particularly relates to a list generation method and device, electronic equipment and a readable storage medium.
Background
With the development of internet applications, a list service is provided in more and more scenes. The statistical result of the related business data can be displayed to the user through the list, for example, the contribution value of the user is displayed through the activity list in the live broadcast room.
As the application of the list is more and more extensive, the importance of the list is increasing, and how to effectively generate the list becomes an important technical problem.
Disclosure of Invention
In order to solve at least one of the above defects, the present disclosure provides a list generation method, an apparatus, an electronic device, and a readable storage medium.
According to a first aspect of the present disclosure, a method for generating a list is provided, the method including:
acquiring at least one kind of business data associated with the list data of the target list;
determining list data based on the business data;
acquiring list information associated with the target list;
and generating a target list based on the list data and the list information.
According to a second aspect of the present disclosure, there is provided an apparatus for generating a list, the apparatus including:
the business data acquisition module is used for acquiring at least one kind of business data associated with the list data of the target list;
the list data determining module is used for determining list data based on the business data;
the list information acquisition module is used for acquiring list information associated with the target list;
the list generating module is used for generating a target list based on the list data and the list information.
According to a third aspect of the present disclosure, there is provided an electronic apparatus comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for generating the leaderboard.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method of generating a list described above.
According to a fifth aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of generating a list described above.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flow chart of obtaining list information in the related art;
FIG. 2 is a schematic diagram illustrating a process for developing an activity list in the related art;
fig. 3 is a schematic flowchart of a method for generating a list according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of obtaining list information according to an embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a detailed implementation of a list generation method according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a list generation apparatus provided according to the present disclosure;
fig. 7 is a block diagram of an electronic device used to implement the method of generating a list of embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The list refers to an online listing activity designed to promote users to better and more use a certain application product, such as a contribution list for a main broadcast and the users in a live broadcast.
When generating the list, the list information to be displayed in the list needs to be acquired, taking a movable list in the live broadcast room as an example, the list information may include a user nickname, a user avatar, ranking information, attention information, a live broadcast state, and the like.
Taking a live scene as an example, fig. 1 shows a flowchart of obtaining the list information, and as shown in fig. 1, step S110 is to receive a list obtaining request. In response to receiving the list acquisition request, step S120 is performed. Step S120: and acquiring list ranking information. The list ranking information is such as user uid (user identification), score, etc. After the list ranking information is acquired, step S130 is executed. Step S130: and acquiring personal information of the user. User personal information such as user head portrait, user nickname, etc. After the user personal information is acquired, step S140 is executed. Step S140: and acquiring the attention information. The focus information is whether the user has focused on the anchor. After the attention information is acquired, step S150 is executed. Step S150: and acquiring live broadcast information. Live information, i.e. whether the anchor is live or not. After acquiring the live information, step S160 is performed. Step S160: and acquiring other list information required by list generation. Finally, step S170 is executed, step S170: and assembling and outputting the list information.
As can be seen from the process of obtaining list information shown in fig. 1, in the related art, the list information is generally obtained in a serial manner, that is, the list information is obtained sequentially. When the list information is acquired through the interface, the average response time of the interface in the whole process is the sum of the time consumed for acquiring the list information, so that the problem that the average response time of the interface is too high when the list information is more exists is solved.
If the list information is acquired in a parallel acquisition manner, although the average response time of the interface can be reduced, some dependency relationships may exist in the list information, which may result in that some list information cannot be acquired normally. For example, the list information such as the nickname of the user, the avatar of the user, the attention information, and the live broadcast state needs to be acquired by relying on the user identifier, that is, the user identifier needs to be acquired first, and then the list information such as the nickname of the user, the avatar of the user, the attention information, and the live broadcast state needs to be acquired based on the user identifier. Therefore, if the user identifiers are not preferentially acquired, but the list information is directly acquired in parallel, the acquisition of the list information such as the nickname of the user, the head portrait of the user, the attention information, and the live broadcast state may fail.
Taking a live broadcast scene as an example, fig. 2 shows a development flow diagram of a live list. As shown in fig. 2, step S210: and acquiring service data, such as data of appreciation, praise, recharge and the like of the user. The service data may include real-time service data as well as off-line service data. Step S220: and configuring a calculation rule of the business data. The developer can configure the calculation rule for each business data of the list so as to calculate the list data according to the calculation rule. Step S230: generating list data. And calculating the business data based on the calculation rule to obtain list data, wherein the list data is the integral in the list. And S240, generating the list, namely generating the list according to the list data. Step S250: and rendering the list page, namely rendering the list page according to the generated list.
As can be seen, in the related art, a set of list generation logic is generally separately developed for each type of activity list, and calculation rules of list data in the list are separately developed, but when there are many types of activity lists, if separate development is still performed for each type of activity list, a large development cost is consumed, and development time is long.
The method, the device, the electronic device and the readable storage medium for generating the list provided by the embodiment of the disclosure aim to solve at least one of the above technical problems of the related art.
Fig. 3 shows a flowchart of a method for generating a list according to an embodiment of the present disclosure, and as shown in fig. 3, the method mainly includes:
step S310: acquiring at least one kind of business data associated with the list data of the target list;
step S320: determining list data based on the business data;
step S330: acquiring list information associated with the target list;
step S340: and generating a target list based on the list data and the list information.
The service data may be behavior data of the user in some specific application scenarios, and taking a live broadcast scenario as an example, the service data may be data of the user such as reward, approval, recharging and the like.
The list data can be data displayed in a target list and can be generated according to statistics of business data. Taking a live broadcast scene as an example, the list data may be a list score or a contribution value generated based on data such as rewarding, praise, and recharge of the user.
In practical use, business data required for generating the list data can be pre-configured, and the list data is associated with the business data required for generating the list data, so that when the list data needs to be generated, the associated business data can be obtained based on the association relation.
The list information may be information to be displayed in the list, such as a nickname of a user, a user avatar, ranking information, attention information, a live broadcast state, and the like.
In practical use, the list information required to be displayed in the list can be preconfigured, and the list information is associated with the target list, so that when the target list is generated, the associated list information is obtained based on the association relationship.
After determining the list data and acquiring the list information, a target list may be generated based on the list data and the list information, and the target list may be data in a specific format assembled by the list data and the list information, such as a list form. The target list can be used to render a list page.
According to the method provided by the embodiment of the disclosure, at least one type of business data associated with the list data of the target list is acquired, the list data is determined based on the business data, the list information associated with the target list is acquired, and therefore the target list is generated based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.
In an optional manner of the present disclosure, acquiring the list information associated with the target list includes:
determining the priority corresponding to each list information based on the dependency relationship of each list information associated with the target list;
and acquiring list information based on the priority.
In the embodiment of the disclosure, a certain dependency relationship may exist between the pieces of list information, that is, part of the pieces of list information may need to depend on another part of the pieces of list information to be able to be normally acquired. For example, the four types of list information, i.e., the nickname of the user, the avatar of the user, the attention information, and the live broadcast state, need to be acquired by relying on the user identifier, that is, the user identifier needs to be acquired first, and then the list information, i.e., the nickname of the user, the avatar of the user, the attention information, the live broadcast state, and the like, needs to be acquired based on the user identifier. And the dependency relationship exists among the user nickname, the user head portrait, the attention information, the live broadcast state and the user identification.
In actual use, the list information which is depended on needs to be preferentially acquired so as to ensure that other list information which is depended on the list information can be normally acquired. In the above example, the user identifier needs to be preferentially obtained, and then the nickname, the avatar, the attention information, and the live broadcast status of the user are obtained based on the user identifier.
In the embodiment of the disclosure, the priority of obtaining the list information can be determined based on the dependency relationship between the list information, so as to ensure the normal obtaining of the list information.
Specifically, the depended list information may be configured to have a higher priority, for example, the list information a depends on the list information B, the list information B depends on the list information C, and the corresponding priorities of the list information A, B, C are C, B, A in order from high to low.
In an optional manner of the present disclosure, obtaining the list information based on the priority includes:
and sequentially acquiring list information corresponding to each priority according to the sequence of the priorities from high to low.
In the embodiment of the disclosure, when the list information is acquired based on the priority, the list information with higher priority can be acquired preferentially, so that a basis is provided for acquiring the list information with lower priority.
For example, the corresponding priorities of the list information A, B, C are C, B, A in order from high to low, and the list information C with the highest priority may be acquired first, then the list information B may be acquired based on the list information C, and finally the list information a may be acquired based on the list information B.
In the embodiment of the disclosure, the list information corresponding to each priority is sequentially acquired in the order from the highest priority to the lowest priority, so that the dependency relationship before each list information can be satisfied, and the normal acquisition of the list information is ensured.
In an optional manner of the present disclosure, acquiring the list information corresponding to each priority includes:
and parallelly acquiring list information corresponding to each priority.
In the embodiment of the disclosure, various types of list data may be included in each priority, and there is no dependency relationship among the various types of list data of the same priority.
In practical use, for multiple types of list data with the same priority, parallel acquisition can be performed in a mode of respectively creating multiple threads, so that time consumption for acquiring list information is reduced.
In the embodiment of the disclosure, when the list information is acquired, the list information corresponding to each priority is sequentially acquired according to the sequence of the priorities from top to bottom, and the multiple list data of the same priority are acquired in parallel, and the list data is acquired by adopting a serial and parallel combination mode, so that the time consumption for acquiring the list information is reduced, the situation that the list information cannot be normally acquired due to the dependency relationship of the list information can be avoided, and the normal acquisition of the list information is ensured.
In an optional manner of the present disclosure, determining list data based on the business data includes:
determining the list data based on pre-configured data operation rules associated with the list data and based on the business data.
In the embodiment of the present disclosure, the business data may be calculated based on the data operation rule, so as to obtain the list data, for example, the business data such as the reward amount and the like of the user may be converted into the list score based on the data operation rule.
In actual use, different types of activity lists may include the same kind of list data, and many data operation rules required for calculating the list data are consistent, so if the data operation rules are configured separately for each type of activity list data, a large amount of repeated labor is caused, and a large amount of development cost is consumed.
In the embodiment of the disclosure, the data operation rule can be respectively configured for each list data, and the association relationship between the list data and the data operation rule is established, so that when the list is generated, the data operation rule associated with the list data can be directly acquired for subsequent calculation of the list data.
The data operation rule can be written into the configuration information, when the list is developed, only the list data required by the list needs to be configured, then the data operation rule associated with the list data is obtained from the configuration information, and the data operation rule does not need to be separately developed for various types of lists, so that the development cost can be saved, and the development time consumption is reduced.
In an optional manner of the present disclosure, acquiring at least one service data associated with the list data of the target list includes:
at least one business data associated with the list data of the target list in a preset time period is obtained, and the preset time period is associated with the target list.
In an actual application scenario, the target list may be statistics and display of the service data in a preset time period, so that the service data in the preset time period can be acquired when the service data is acquired.
For example, when performing the calculation of the stock list points, the business data such as the amount of money rewarded and the number of praise of the user in the next month may be acquired in the next month for the preset time period, and then the calculation of the stock list points may be performed based on the business data.
In an optional manner of the present disclosure, before determining the list data based on the business data, the method further includes:
and determining whether the service data corresponds to a preset time period.
In the embodiment of the disclosure, to ensure that the list data is determined based on the business data in the preset time period, before determining the list data, whether the business data is the data in the preset time period may be verified.
If the business data is determined to be data in the preset time period, the list data can be calculated based on the business data, and if the business data is determined not to be data in the preset time period, the step of calculating the list data based on the business data can be stopped.
In an optional manner of the present disclosure, generating a target list based on the list data and the list information includes:
ranking the list data to obtain a ranking result;
and generating a target list based on the sequencing result and the list information.
In the embodiment of the disclosure, in the process of generating the list, the ranking result may be obtained by ranking based on the list data, and then the target list is generated according to the ranking result and the list information. As an example, the list data is list scores, ranking is performed based on the list scores to obtain ranking results, then the ranking results and list information such as user nicknames, user head portraits, attention information and live broadcast states are assembled into a target list based on the ranking results, and all the obtained target lists are ranked according to the list scores and contain list information such as the user nicknames, the user head portraits, the attention information and the live broadcast states.
In an optional manner of the present disclosure, after generating the target list based on the list data and the list information, the method further includes:
rendering a list page based on the target list.
In the embodiment of the disclosure, the list page is a page which is presented to the user and used for displaying the target list, and the target list can be used as rendering data to perform page rendering to obtain the list page.
Fig. 4 is a schematic flowchart of a process of obtaining list information according to an embodiment of the disclosure. As shown in fig. 4, step S410: receiving the list information acquisition request, namely initiating the list information acquisition request in the process of generating the list. Step S420: and accessing the configuration information, namely acquiring the list information to be acquired and determining the priority of each list information. Specifically, the list information in this example may include a first list information, a second list information, a third list information, a fourth list information, and a fifth list information, where the first list information corresponds to the highest priority and is recorded as a first priority, the second list information and the third list information have a priority lower than that of the first list information system and are recorded as a second priority, and the fourth list information and the fifth list information have a priority lower than that of the second list information system and the third list information and are recorded as a third priority. Step S430: respectively acquiring first list information, second list information, third list information, fourth list information and fifth list information. Specifically, the first list information corresponding to the first priority with the highest priority is preferentially acquired. And then, second list information and third list information corresponding to the second priority are obtained, and the second list information and the third list information have the same corresponding priority, so that the second list information and the third list information can be obtained in parallel. And the fourth list information and the fifth list information corresponding to the third priority are the same in priority, so that the fourth list information and the fifth list information can be acquired in parallel. Step S440: and (4) outputting the list information, namely summarizing the acquired list information for use when the list is generated.
Fig. 5 is a flowchart illustrating a specific implementation of a list generating method according to an embodiment of the present disclosure. As shown in fig. 5, all online activities are traversed, i.e., different types of traffic data are traversed. And acquiring the list score, namely acquiring the business data associated with the list data. Whether the activity is on or not is determined, that is, whether the acquired service data is data within an activity on period (that is, a preset period) or not is determined. And (4) performing list generation and integral configuration, namely acquiring data operation rules related to the list data from the configuration information. The day list, the day list fan contribution list and the total list fan contribution list are list data calculated based on the data operation rule. And outputting the list data, namely providing the list data for generating the list. And analyzing the configuration information, namely determining the list information required to be acquired from the configuration information. Whether the attention information is needed, namely whether the attention information of the user needs to be acquired or not is determined. And (4) determining whether personal information is needed, namely determining whether personal information such as a nickname and a head portrait of the user needs to be acquired. And determining whether the live broadcast information is needed, namely determining whether the live broadcast state of the user needs to be acquired. The number of the list acquisition is determined, namely the number of the list scores displayed in the list is determined, and if the list shows the list scores in the ten positions before the list scores are sorted, the list scores are displayed. And expanding the use, namely acquiring the list information besides the user nickname, the user head portrait, the attention information and the live broadcast state. The method comprises the steps of list information acquisition, namely acquiring the list information, wherein an attention information acquisition module is used for acquiring attention information, a personal information acquisition module is used for acquiring personal information such as a nickname and a head portrait of a user, a live broadcast information acquisition module is used for acquiring a live broadcast state of the user, a list acquisition module is used for acquiring the number of list scores displayed in the list, and a subsequent extended information acquisition module is used for acquiring other list information except the nickname, the head portrait of the user, the attention information and the live broadcast state. And (4) list information assembly, namely assembling list information based on list user nicknames, user head portraits, attention information, live broadcast states and other list information. And outputting the list information, namely providing the list information for generating the list. And (4) target list generation, namely generating a target list based on the list data and the list information.
Based on the same principle as the method shown in fig. 3, fig. 6 shows a schematic structural diagram of a list generation apparatus provided by the embodiment of the disclosure, and as shown in fig. 6, the list generation apparatus 60 may include:
the business data acquiring module 610 is configured to acquire at least one type of business data associated with the list data of the target list;
the list data determining module 620 is configured to determine list data based on the business data;
the list information acquiring module 630 is configured to acquire list information associated with the target list;
the list generating module 640 is configured to generate a target list based on the list data and the list information.
The apparatus provided by the embodiment of the disclosure acquires at least one type of business data associated with the list data of the target list, determines the list data based on the business data, acquires the list information associated with the target list, and generates the target list based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.
Optionally, the service data acquiring module is specifically configured to:
determining the priority corresponding to each list information based on the dependency relationship of each list information associated with the target list;
and acquiring list information based on the priority.
Optionally, when the business data obtaining module obtains the list information based on the priority, the business data obtaining module is specifically configured to:
and sequentially acquiring list information corresponding to each priority according to the sequence of the priorities from high to low.
Optionally, when the business data obtaining module obtains the list information corresponding to each priority, the business data obtaining module is specifically configured to:
and parallelly acquiring list information corresponding to each priority.
Optionally, the list data determining module is specifically configured to:
determining the list data based on pre-configured data operation rules associated with the list data and based on the business data.
Optionally, the service data acquiring module is specifically configured to:
at least one business data associated with the list data of the target list in a preset time period is obtained, and the preset time period is associated with the target list.
Optionally, the apparatus further comprises:
and the preset time period verification module is used for determining whether the business data corresponds to the preset time period before determining the list data based on the business data.
Optionally, the list generating module is specifically configured to:
ranking the list data to obtain a ranking result;
and generating a target list based on the sequencing result and the list information.
Optionally, the apparatus further comprises:
and the page rendering module is used for rendering the list page based on the target list after the target list is generated based on the list data and the list information.
It is understood that the above modules of the list generation apparatus in the embodiment of the present disclosure have functions of implementing the respective steps of the list generation method in the embodiment shown in fig. 1. The function can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the functions described above. The modules can be software and/or hardware, and each module can be implemented independently or by integrating a plurality of modules. For the functional description of each module of the apparatus for generating a list, reference may be specifically made to the corresponding description of the method for generating a list in the embodiment shown in fig. 1, and details are not repeated here.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
The electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of generating a list as provided by an embodiment of the disclosure.
Compared with the prior art, the electronic equipment acquires at least one kind of business data associated with the list data of the target list, determines the list data based on the business data, acquires the list information associated with the target list, and generates the target list based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.
The readable storage medium is a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method of generating a list as provided by an embodiment of the present disclosure.
Compared with the prior art, the readable storage medium obtains at least one kind of business data associated with the list data of the target list, determines the list data based on the business data, obtains the list information associated with the target list, and generates the target list based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.
The computer program product, comprising a computer program, which when executed by a processor, implements a method of generating a list as provided by embodiments of the present disclosure.
Compared with the prior art, the computer program product acquires at least one type of business data associated with the list data of the target list, determines the list data based on the business data, acquires the list information associated with the target list, and generates the target list based on the list data and the list information. Based on the scheme, the list can be effectively generated, and the realization of the list under various application scenes is facilitated.
Fig. 7 illustrates a schematic block diagram of an example electronic device 2000, which can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the device 2000 includes a computing unit 2010, which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)2020, or a computer program loaded from a storage unit 2080 into a Random Access Memory (RAM) 2030. In the RAM 2030, various programs and data required for the operation of the device 2000 can also be stored. The computing unit 2010, ROM 2020, and RAM 2030 are coupled to each other via bus 2040. An input/output (I/O) interface 2050 is also connected to bus 2040.
Various components in device 2000 are connected to I/O interface 2050, including: an input unit 2060 such as a keyboard, a mouse, or the like; an output unit 2070 such as various types of displays, speakers, and the like; a storage unit 2080 such as a magnetic disk, an optical disk, and the like; and a communication unit 2090, such as a network card, modem, wireless communication transceiver, etc. The communication unit 2090 allows the device 2000 to exchange information/data with other devices over a computer network, such as the internet, and/or various telecommunication networks.
Computing unit 2010 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 2010 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The computing unit 2010 executes the list generation method provided in the embodiment of the present disclosure. For example, in some embodiments, the generation methods that perform the leaderboards provided in embodiments of the present disclosure may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 2080. In some embodiments, some or all of the computer program may be loaded onto and/or installed onto the device 2000 via the ROM 2020 and/or the communication unit 2090. When the computer program is loaded into RAM 2030 and executed by the computing unit 2010, one or more steps of the method of generating a list provided in the embodiments of the present disclosure may be performed. Alternatively, in other embodiments, the computing unit 2010 may be configured in any other suitable manner (e.g., by way of firmware) to perform the method of generating the list provided in the embodiments of the present disclosure.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (13)

1. A list generation method comprises the following steps:
acquiring at least one kind of business data associated with the list data of the target list;
determining the list data based on the business data;
acquiring list information associated with the target list;
and generating a target list based on the list data and the list information.
2. The method of claim 1, wherein the obtaining leaderboard information associated with the target leaderboard comprises:
determining priorities corresponding to the list information based on the dependency relationship of the list information associated with the target list;
and acquiring the list information based on the priority.
3. The method of claim 2, wherein the obtaining the listing information based on the priority comprises:
and sequentially acquiring the list information corresponding to each priority according to the sequence of the priorities from high to low.
4. The method of claim 3, wherein the obtaining the listing information corresponding to each priority comprises:
and parallelly acquiring the list information corresponding to the priorities.
5. The method of any of claims 1-4, wherein the determining the listing data based on the traffic data includes:
determining the list data based on pre-configured data operation rules associated with the list data and based on the business data.
6. The method of any of claims 1-5, wherein the obtaining at least one piece of business data associated with the list data of the target list comprises:
at least one business data associated with the list data of the target list in a preset time period is obtained, wherein the preset time period is associated with the target list.
7. The method of claim 6, wherein prior to the determining the listing data based on the traffic data, the method further comprises:
and determining whether the service data corresponds to the preset time interval.
8. The method of any of claims 1-7, wherein the generating a target chart based on the chart data and the chart information includes:
sequencing the list data to obtain a sequencing result;
and generating a target list based on the sequencing result and the list information.
9. The method of any of claims 1-8, wherein after the generating a target chart based on the chart data and the chart information, the method further comprises:
rendering a list page based on the target list.
10. An apparatus for generating a list, comprising:
the business data acquisition module is used for acquiring at least one kind of business data associated with the list data of the target list;
the list data determining module is used for determining the list data based on the business data;
the list information acquisition module is used for acquiring list information associated with the target list;
the list generating module is used for generating a target list based on the list data and the list information.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-9.
13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-9.
CN202110969294.9A 2021-08-23 2021-08-23 Method and device for generating list, electronic equipment and readable storage medium Active CN113742581B (en)

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