CN112434227A - Information sorting method, device, equipment and computer storage medium - Google Patents
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Abstract
The embodiment of the application provides an information sorting method, an information sorting device, electronic equipment and a computer storage medium; the method comprises the following steps: determining a plurality of pieces of release information to be sequenced in a network community; determining a heat value of each piece of release information according to a sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information; and sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
Description
Technical Field
The present application relates to a data sorting technique of financial technology (Fintech), and relates to, but is not limited to, an information sorting method, apparatus, electronic device, and computer storage medium.
Background
With the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually changing to financial technology, but higher requirements are also put forward on the technologies due to the requirements of the financial industry on safety and real-time performance.
Currently, in a web community, a user may post or discuss a certain topic; for the posts in the network community, the posts can be sorted based on the votes of the users, however, the current post sorting is only sorted according to a single factor of the votes of the users, and the final sorting result is not accurate enough.
Disclosure of Invention
The embodiment of the application provides an information sorting method, an information sorting device, electronic equipment and a computer storage medium, and can solve the problem that a sorting result is not accurate enough in the prior art.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides an information sequencing method, which comprises the following steps:
determining a plurality of pieces of release information to be sequenced in a network community;
determining a heat value of each piece of release information according to a sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information;
and sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
In some embodiments of the present application, the method further comprises:
and determining the content quality parameter of each piece of release information according to at least two content quality factors of each piece of release information.
In some embodiments of the present application, the method further comprises:
determining the priority of the candidate content quality elements of each release message;
selecting the candidate content quality elements with the priority greater than the priority threshold value from the plurality of candidate content quality elements as the at least two content quality elements.
In some embodiments of the present application, the determining the priority of the plurality of candidate content quality elements of each distribution information includes:
receiving an instruction indicating a priority of the candidate content quality element; determining a priority of the plurality of candidate content quality elements according to the instruction;
or determining the priority of the multiple candidate content quality elements of each piece of release information according to the type of each piece of release information and the corresponding relation between the type of preset release information and the priority of the candidate content quality elements.
In some embodiments of the present application, the ranking parameter further includes historical reference information of a publisher of each piece of published information, the historical reference information representing a content quality parameter of the historical published information;
the heat value of the release information is positively correlated with the historical reference information of the publisher.
In some embodiments of the present application, the ranking parameter further comprises a mean line representing: the ratio of the average amount of information published in the first time period to the average amount of information published in the second time period in the network community; the first time period is a fraction of the second time period;
the heat value of the issued information is positively correlated with the average line of the issued information to be sequenced.
In some embodiments of the present application, the determining a heat value of each piece of published information according to a ranking parameter of each piece of published information in the plurality of pieces of published information includes:
determining a gravity factor, wherein the gravity factor is the reciprocal of the mean line;
and determining the heat value of each piece of release information according to the gravity factor, and the content quality parameter and the timeliness parameter of each piece of release information.
The embodiment of the application provides an information sequencing device, the device includes:
the determining module is used for determining a plurality of pieces of release information to be sequenced in the network community;
the processing module is used for determining the heat value of each piece of release information according to the sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information;
and the sequencing module is used for sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
In some embodiments of the present application, the processing module is further configured to:
and determining the content quality parameter of each piece of release information according to at least two content quality factors of each piece of release information.
In some embodiments of the present application, the processing module is further configured to:
determining the priority of the candidate content quality elements of each release message;
selecting the candidate content quality elements with the priority greater than the priority threshold value from the plurality of candidate content quality elements as the at least two content quality elements.
In some embodiments of the present application, the processing module, configured to determine priorities of the plurality of candidate content quality elements of each distribution information, includes:
receiving an instruction indicating a priority of the candidate content quality element; determining a priority of the plurality of candidate content quality elements according to the instruction;
or determining the priority of the multiple candidate content quality elements of each piece of release information according to the type of each piece of release information and the corresponding relation between the type of preset release information and the priority of the candidate content quality elements.
In some embodiments of the present application, the ranking parameter further includes historical reference information of a publisher of each piece of published information, the historical reference information representing a content quality parameter of the historical published information;
the heat value of the release information is positively correlated with the historical reference information of the publisher.
In some embodiments of the present application, the ranking parameter further comprises a mean line representing: the ratio of the average amount of information published in the first time period to the average amount of information published in the second time period in the network community; the first time period is a fraction of the second time period;
the heat value of the issued information is positively correlated with the average line of the issued information to be sequenced.
In some embodiments of the present application, the determining, by the processing module, a hot value of each piece of published information according to a ranking parameter of each piece of published information in the plurality of pieces of published information includes:
determining a gravity factor, wherein the gravity factor is the reciprocal of the mean line;
and determining the heat value of each piece of release information according to the gravity factor, and the content quality parameter and the timeliness parameter of each piece of release information.
An embodiment of the present application provides an electronic device, which includes:
a memory for storing executable instructions;
and the processor is used for realizing any one of the information sequencing methods when executing the executable instructions stored in the memory.
An embodiment of the present application provides a computer-readable storage medium, which stores executable instructions and is configured to, when executed by a processor, implement any one of the above information sorting methods.
In the embodiment of the application, a plurality of pieces of release information to be sequenced in a network community are determined; determining a heat value of each piece of release information according to a sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information; and sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
It can be seen that, in the embodiment of the present application, the content quality parameter and the timeliness parameter of the release information may be considered comprehensively to obtain the result of ranking the heat value of the release information, and compared with the scheme in the prior art that the heat value of the release information is determined only by a single factor of the number of votes, the embodiment of the present application may accurately obtain the result of ranking the heat value of the release information.
Drawings
Fig. 1 is an alternative flowchart of an information sorting method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of article popularity ranking in accordance with an embodiment of the present application;
FIG. 3 is a graph illustrating the variation of the heat of the published information with time according to different gravity factors in the embodiment of the present application;
FIG. 4 is a schematic diagram of an alternative structure of an information sorting apparatus according to an embodiment of the present application;
fig. 5 is a schematic diagram of an alternative composition structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
The information ordering method of the embodiment can be applied to a computer system consisting of terminals and/or servers, and can be operated together with numerous other general-purpose or special-purpose computing system environments or configurations. Here, the terminal may be a thin client, a thick client, a hand-held or laptop device, a microprocessor-based system, a set-top box, a programmable consumer electronics, a network personal computer, a small computer system, etc., and the server may be a server computer system, a small computer system, a mainframe computer system, a distributed cloud computing environment including any of the above, etc.
The electronic devices of the terminal, server, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
The following provides an exemplary description of an information ranking method according to an embodiment of the present application.
Fig. 1 is an optional flowchart of an information ranking method provided in an embodiment of the present application, and as shown in fig. 1, the flowchart may include:
step 101: a plurality of pieces of published information to be sorted in the network community are determined.
In the embodiment of the application, the published information can be published articles or posts; the web community may be a website for posting articles or posts.
Step 102: determining a heat value of each piece of release information according to a sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information.
In the embodiment of the application, the timeliness parameter is an important reference factor for determining the heat value of the release information, and the longer the time length between the release time of the release information and the current time is, the lower the heat value of the release information is. The content quality parameter is used for representing the content quality of the issued information, and the larger the content quality parameter is, the higher the content quality of the invention information is.
Step 103: and sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
In the embodiment of the application, the published information can be sequenced from high to low according to the heat value, so that a user can conveniently browse the published information with high heat, and the heat sequencing of articles of the forum system in an enterprise can be visually displayed by referring to fig. 2.
In practical applications, the steps 101 to 103 may be implemented based on a Processor of an electronic Device, where the Processor may be at least one of an Application Specific Integrated Circuit (a SIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (fpga), a CPU, a controller, a microcontroller, and a microprocessor. It is understood that the electronic device implementing the above-described processor function may be other electronic devices, and the embodiments of the present application are not limited thereto.
It can be seen that, in the embodiment of the present application, the content quality parameter and the timeliness parameter of the release information may be considered comprehensively to obtain the result of ranking the heat value of the release information, and compared with the scheme in the prior art that the heat value of the release information is determined only by a single factor of the number of votes, the embodiment of the present application may accurately obtain the result of ranking the heat value of the release information.
Furthermore, the embodiment of the application does not need the user to vote for the published information, and can be applied to the scene where the published information cannot be voted, thereby expanding the application range of the embodiment of the application to a certain extent.
In some embodiments of the present application, the content quality parameter of each release information may be determined according to at least two content quality factors of each release information.
In one implementation, the at least two content quality factors include at least two of: the method comprises the following steps of browsing amount, comment number, collection number, praise number, parameters for representing whether recommendation is obtained or not, parameters for representing whether top setting is performed or not, and parameters for representing whether disclosure is performed or not.
Exemplarily, the value of the parameter for representing whether to obtain recommendation can be 0 or 1, and when the value of the parameter for representing whether to obtain recommendation is 0, it indicates that the release information is not recommended; when the value of the parameter representing whether the recommendation is obtained is 1, the fact that the release information is recommended is shown.
Exemplarily, a value of a parameter for representing whether to obtain a set top may be 0 or 1, and when the value of the parameter for representing whether to obtain a set top is 0, it indicates that the release information is not set top information; when the value of the parameter representing whether the set top is obtained is 1, the release information is the set top information.
Exemplarily, a value of a parameter used for representing whether to disclose may be 0 or 1, and when the value of the parameter used for representing whether to disclose is 0, it is described that the release information is not disclosed; when the value of the parameter representing whether to disclose is 1, the publishing information is disclosed.
It should be noted that the above-mentioned contents are merely exemplary illustrations of parameters for characterizing whether a recommendation is obtained, parameters for characterizing whether a set top is placed, and parameters for characterizing whether a disclosure is made, and the embodiments of the present application are not limited thereto.
In one implementation, after obtaining the at least two content quality factors of each piece of distribution information, the at least two content quality factors of each piece of distribution information may be weighted and summed to obtain the content quality parameter of each piece of distribution information.
Illustratively, the at least two content quality factors are n content quality factors, n being an integer greater than or equal to 2, the n content quality factors being respectively represented as x1To xnThe weights of the n content quality factors are w1To wnThe content quality parameter of the release information can be calculated according to the formula (1):
S＝x1w1+...+xnwn (1)
wherein S represents a content quality parameter of the distribution information.
Illustratively, the at least two content quality factors include 7 content quality factors, and the 7 content quality factors are respectively: the method comprises the following steps of browsing amount, comment number, collection number, praise number, parameter for representing whether recommendation is obtained or not, parameter for representing whether top is placed or not and parameter for representing whether disclosure is performed or not, wherein the browsing amount is x1Number of comments is x2The collection number is x3The number of praise is x4The parameter used to characterize whether a recommendation is made is x5The parameter for characterizing whether to set top is x6The parameter used to characterize whether to disclose is x7。
Exemplarily, x1To x7The respective weights can be illustrated by table 1.
TABLE 1
It should be noted that Table 1 is only for parameter x1To x7The weight of (a) is exemplified, in the examples of the present application, the parameter x1To x7The weight of (2) is not limited to the contents of Table 1.
Therefore, the content quality parameters of the release information can be accurately obtained on the basis of comprehensively considering at least two content quality factors, and the heat value of the release information can be accurately obtained.
In some embodiments of the present application, a plurality of candidate content quality elements of each piece of published information may be determined first, and priorities of the plurality of candidate content quality elements of each piece of published information may be determined; then, among the plurality of candidate content quality elements, a candidate content quality element having a priority greater than a priority threshold is selected as the at least two content quality elements.
In the embodiment of the present application, the priority threshold may be preset according to an actual situation.
Illustratively, the 7 candidate content quality factors of the release information are respectively: browsing amount, number of comments, collection number, praise number, parameters for representing whether recommendation is obtained or not, parameters for representing whether top setting is performed or not, and parameters for representing whether public is performed or not; here, the priority of each candidate content quality element may be represented by a priority value, and the higher the priority value, the higher the priority of the candidate content quality element is.
Illustratively, the priority value of the browsing volume is 2, the priority value of the comment number is 3, the priority value of the collection number is 5, the priority value of the like number is 5, the priority value of the parameter for characterizing whether to obtain recommendation is 6, the priority value of the parameter for characterizing whether to put top is 7, the priority value of the parameter for characterizing whether to disclose is 5, and the priority threshold value is 4, then the collection number, the like number, the parameter for characterizing whether to obtain recommendation, the parameter for characterizing whether to put top, and the parameter for characterizing whether to disclose are selected as the at least two content quality factors from among the 7 candidate content quality factors.
It can be seen that the content quality parameters can be determined based on the content quality elements with higher priority, which is beneficial to obtaining the content quality parameters according to actual requirements.
In some embodiments of the present application, an instruction may be received to indicate a priority of a candidate content quality element; the priorities of the plurality of candidate content quality elements are determined according to the instructions.
In practical application, a user may input an instruction indicating the priority of the candidate content quality element into the electronic device in a human-computer interaction manner, where the instruction may carry a priority value of each candidate content quality element.
It can be seen that the priority of the candidate content quality element can be determined according to the user requirement, and then the content quality parameter is determined.
In some embodiments of the present application, the priorities of the multiple candidate content quality elements of each piece of publishing information may be determined according to the type of each piece of publishing information and a preset correspondence between the type of the piece of publishing information and the priority of the candidate content quality element.
In practical application, various kinds of release information can be classified according to attributes such as the belonging field, the number of characters and the like of the release information to obtain the types of the release information; further, the correspondence between the type of the distribution information and the priority of the candidate content quality element may be established in advance for each type of the distribution information.
It can be seen that, according to the embodiment of the application, the priority of various candidate content quality elements of the release information can be determined according to the type of the release information, that is, the priority value which can be matched with the type of the release information is beneficial to accurately determining the priority of the candidate content quality elements according to the type of the release information, and further beneficial to accurately determining the content quality elements.
In some embodiments of the present application, the sorting parameter further includes historical reference information of a publisher of each piece of published information, and the historical reference information represents a content quality parameter of the historical published information; the heat value of the published information is positively correlated with the historical reference information of the publisher. Illustratively, the content quality parameter of the historical release information may be determined according to at least two content quality factors of the historical release information, and the at least two content quality factors of the historical release information may include at least two of: the method comprises the following steps of browsing amount, comment number, collection number, praise number, parameters for representing whether recommendation is obtained or not, parameters for representing whether top setting is performed or not, and parameters for representing whether disclosure is performed or not. In one implementation, at least two content quality factors of the historical release information may be weighted and summed to obtain a content quality parameter of the historical release information, i.e., to obtain the historical reference information.
It can be understood that, in the case that the publisher publishes the information for multiple times, the heat value of the information that the publisher publishes the information for the latest time may be determined based on the content quality parameter of the historical publishing information of the publisher, and thus, the embodiment of the present application may obtain the heat value of the publishing information on the basis of considering the content quality parameter of the historical publishing information of the publisher, and may obtain the consideration factor when obtaining the heat value of the publishing information more comprehensively.
In some embodiments of the present application, the above sorting parameter further includes a uniform line (MA), where the uniform line represents: the ratio of the average amount of the information released in the first time period to the average amount of the information released in the second time period in the network community; the first time period is a portion of the second time period; the heat value of the issued information is positively correlated with the average line of the issued information to be sorted.
Illustratively, the first time period is a time period in which the published information to be sorted is located, the first time period may be a time period of 1 hour, 1 day, 1 week, and the like, and the second time period may be a time period of 1 day, 1 week, 1 month, and the like.
For example, the average amount of the first period publication information may be an average of the number of the plurality of consecutive first periods, and the average amount of the second period publication information may be an average of the number of the plurality of consecutive second periods; as can be understood, when the first time period changes, the average amount of information published in the network community during the first time period also changes; when the second time period changes, the average amount of the second time period published information in the network community changes, and therefore, the average line may be different for the published information in different time periods.
Therefore, the heat value of the issued information can be obtained on the basis of considering the average line, and the consideration factor when the heat value of the issued information is obtained is more comprehensive.
In this embodiment of the application, according to the ranking parameter of each piece of published information in the plurality of pieces of published information, an implementation manner of determining the heat value of each piece of published information may be:
determining a gravity factor, wherein the gravity factor is the reciprocal of the mean line;
and determining the heat value of each piece of release information according to the gravity factor, the content quality parameter and the timeliness parameter of each piece of release information.
Here, the average is a positive number smaller than 1, and the gravity factor is a positive number larger than 1.
Therefore, the heat value of the issued information can be obtained on the basis of considering the gravity factor, and the consideration factor when the heat value of the issued information is obtained is more comprehensive.
In some embodiments, the heat value of the published information may be calculated according to equation (2):
wherein F represents the heat value of the issued information, tnowRepresenting the current time, tpublicThe distribution time of the distribution information is represented, and G represents a gravity factor; it can be seen that, with reference to equation (2), t is the time elapsednowBecomes large so that the value of F becomes small.
In some embodiments, it may be calculated according to equation (3):
wherein, tnIs the current time in seconds, tpublicIs the time of distribution of the distribution information expressed in seconds (t)n-tp) /3600/24 represents the number of days between the time of distribution of the information and the current time, since (t)n-tp) Where/3600/24 +1 is a number greater than 1 and the gravity factor G is a positive number greater than 1, then the denominator of F in equation (3) follows tnIs increased and an increasing function is increased.
In some embodiments, fig. 3 shows a graph diagram of the variation of the heat degree of the published information with time corresponding to different gravity factors G, in fig. 3, the horizontal axis represents time, and the vertical axis represents the heat degree value of the published information, and in fig. 3, the gravity factors corresponding to the curve 1, the curve 2 and the curve 3 are respectively 2, 1.8 or 1.5; in fig. 3, under the condition that the gravity factor is 1.5, the curve converges more smoothly, and meets the requirement of displaying the heat value more.
It can be understood that, since the average line reflects the average value of the number of pieces of published information within a period of time in the network community, and the gravity factor is the reciprocal of the average line, the higher the average value of the number of pieces of published information within a period of time in the network community is, the lower the gravity factor is; furthermore, it can be seen from the above formula for calculating the heat value of the published information that the lower the gravity factor is, the higher the heat value of the published information that needs to be sorted is, that is, the heat value of the published information that needs to be sorted is calculated by combining the gravity factor in the embodiment of the present application, so that the calculated heat value of the published information can reflect the average value of the number of each piece of published information in the network community over a period of time.
In the related art, even though the heat value of the published information can be determined according to various factors, the heat value of the published information is calculated only by adopting a weighted average mode for the various factors, and the scheme for calculating the heat value of the published information does not consider the average value of the quantity of each published information in a network community for a period of time, only considers the factors of the published information, so that the consideration factors when the heat value of the published information is obtained are not comprehensive.
In the embodiment of the present application, instead of simply performing weighted average on multiple factors to obtain the heat value of the published information, the heat value of the published information to be sorted may be calculated in combination with the gravity factor.
On the basis of the information sorting method provided by the foregoing embodiment, an information sorting device is also provided by the embodiment of the present application; fig. 4 is a schematic diagram of an optional component structure of an information sorting apparatus according to an embodiment of the present application, and as shown in fig. 4, the information sorting apparatus 400 may include:
a determining module 401, configured to determine multiple pieces of published information to be ranked in a network community;
a processing module 402, configured to determine a heat value of each piece of published information according to a ranking parameter of each piece of published information in the plurality of pieces of published information, where the ranking parameter at least includes a content quality parameter and a timeliness parameter, and the timeliness parameter indicates a time length between a publishing time of the published information and a current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information;
the sorting module 403 is configured to sort the release information according to the heat value of each release information in the release information, so as to obtain a sorting result.
In some embodiments of the present application, the processing module 402 is further configured to:
and determining the content quality parameter of each piece of release information according to at least two content quality factors of each piece of release information.
In some embodiments of the present application, the processing module 402 is further configured to:
determining the priority of the candidate content quality elements of each release message;
selecting the candidate content quality elements with the priority greater than the priority threshold value from the plurality of candidate content quality elements as the at least two content quality elements.
In some embodiments of the present application, the processing module 402, configured to determine priorities of a plurality of candidate content quality elements of each distribution information, includes:
receiving an instruction indicating a priority of the candidate content quality element; determining a priority of the plurality of candidate content quality elements according to the instruction;
or determining the priority of the multiple candidate content quality elements of each piece of release information according to the type of each piece of release information and the corresponding relation between the type of preset release information and the priority of the candidate content quality elements.
In some embodiments of the present application, the ranking parameter further includes historical reference information of a publisher of each piece of published information, the historical reference information representing a content quality parameter of the historical published information;
the heat value of the release information is positively correlated with the historical reference information of the publisher.
In some embodiments of the present application, the ranking parameter further comprises a mean line representing: the ratio of the average amount of information published in the first time period to the average amount of information published in the second time period in the network community; the first time period is a fraction of the second time period;
the heat value of the issued information is positively correlated with the average line of the issued information to be sequenced.
In some embodiments of the present application, the processing module 402, configured to determine a hotness value of each published information according to a ranking parameter of each published information in the plurality of published information, includes:
determining a gravity factor, wherein the gravity factor is the reciprocal of the mean line;
and determining the heat value of each piece of release information according to the gravity factor, and the content quality parameter and the timeliness parameter of each piece of release information.
In practical applications, the determining module 401, the processing module 402 and the sorting module 403 may be implemented by a processor of an electronic device, and the processor may be at least one of an ASIC, a DSP, a DSPD, a PLD, an FPGA, a CPU, a controller, a microcontroller and a microprocessor. It is understood that the electronic device implementing the above-described processor function may be other electronic devices, and the embodiments of the present application are not limited thereto.
It should be noted that the above description of the embodiment of the apparatus, similar to the above description of the embodiment of the method, has similar beneficial effects as the embodiment of the method. For technical details not disclosed in the embodiments of the apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be noted that, in the embodiment of the present application, if the information sorting method is implemented in the form of a software functional module and is sold or used as a standalone product, the information sorting method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a terminal, a server, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Correspondingly, an embodiment of the present application further provides a computer program product, where the computer program product includes computer-executable instructions, and the computer-executable instructions are used to implement any one of the information ranking methods provided in the embodiment of the present application.
Accordingly, an embodiment of the present application further provides a computer storage medium, where computer-executable instructions are stored on the computer storage medium, and the computer-executable instructions are used to implement any one of the information sorting methods provided in the foregoing embodiments.
An embodiment of the present application further provides an electronic device, fig. 5 is an optional schematic structural diagram of the electronic device provided in the embodiment of the present application, and as shown in fig. 5, the electronic device 500 includes:
a memory 501 for storing executable instructions;
the processor 502 is configured to implement any one of the above-mentioned information sorting methods when executing the executable instructions stored in the memory 501.
The processor 502 may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor.
The computer-readable storage medium/Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic Random Access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM), and the like; but may also be various terminals such as mobile phones, computers, tablet devices, personal digital assistants, etc., that include one or any combination of the above-mentioned memories.
Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiments is included in at least one embodiment of the present application. Thus, the appearances of the phrase "in some embodiments" appearing in various places throughout the specification are not necessarily all referring to the same embodiments. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing an automatic test line of a device to perform all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The methods disclosed in the several method embodiments provided in the present application may be combined arbitrarily without conflict to obtain new method embodiments.
The features disclosed in the several method or apparatus embodiments provided in the present application may be combined arbitrarily, without conflict, to arrive at new method embodiments or apparatus embodiments.
The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for ordering information, the method comprising:
determining a plurality of pieces of release information to be sequenced in a network community;
determining a heat value of each piece of release information according to a sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information;
and sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
2. The method of claim 1, further comprising:
and determining the content quality parameter of each piece of release information according to at least two content quality factors of each piece of release information.
3. The method of claim 2, further comprising:
determining the priority of the candidate content quality elements of each release message;
selecting the candidate content quality elements with the priority greater than the priority threshold value from the plurality of candidate content quality elements as the at least two content quality elements.
4. The method of claim 3, wherein said determining the priority of the plurality of candidate content quality elements of each distribution information comprises:
receiving an instruction indicating a priority of the candidate content quality element; determining a priority of the plurality of candidate content quality elements according to the instruction;
or determining the priority of the multiple candidate content quality elements of each piece of release information according to the type of each piece of release information and the corresponding relation between the type of preset release information and the priority of the candidate content quality elements.
5. The method according to claim 1, wherein the ranking parameters further include historical reference information of the publisher of each publication information, the historical reference information representing content quality parameters of historical publication information;
the heat value of the release information is positively correlated with the historical reference information of the publisher.
6. The method of claim 1, wherein the ordering parameter further comprises a mean-square, the mean-square representing: the ratio of the average amount of information published in the first time period to the average amount of information published in the second time period in the network community; the first time period is a fraction of the second time period;
the heat value of the issued information is positively correlated with the average line of the issued information to be sequenced.
7. The method of claim 6, wherein determining the popularity value of each published information of the plurality of published information according to the ranking parameter of each published information comprises:
determining a gravity factor, wherein the gravity factor is the reciprocal of the mean line;
and determining the heat value of each piece of release information according to the gravity factor, and the content quality parameter and the timeliness parameter of each piece of release information.
8. An information ranking apparatus, characterized in that the apparatus comprises:
the determining module is used for determining a plurality of pieces of release information to be sequenced in the network community;
the processing module is used for determining the heat value of each piece of release information according to the sequencing parameter of each piece of release information in the plurality of pieces of release information, wherein the sequencing parameter at least comprises a content quality parameter and a timeliness parameter, and the timeliness parameter represents the release time of the release information and the duration of the current time; the heat value of the release information is positively correlated with the content quality parameter of the release information, and the heat value of the release information is negatively correlated with the timeliness parameter of the release information;
and the sequencing module is used for sequencing each piece of release information according to the heat value of each piece of release information in the plurality of pieces of release information to obtain a sequencing result.
9. An electronic device, characterized in that the electronic device comprises:
a memory for storing executable instructions;
a processor for implementing the method of ordering information of any one of claims 1 to 7 when executing executable instructions stored in the memory.
10. A computer-readable storage medium storing executable instructions for implementing the information sorting method of any one of claims 1 to 7 when executed by a processor.
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| CN202011340512.4A CN112434227A (en) | 2020-11-25 | 2020-11-25 | Information sorting method, device, equipment and computer storage medium |
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