Media data transmissibility determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a media data transmissibility determination method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the steps of determining whether target media data is original content or not in response to a transmissibility determination instruction of the target media data; determining first media data published by each media data publishing platform within a time range matched with the publishing time of the target media data; determining the similarity between the target media data and each piece of first media data, and determining reference media data associated with the target media data according to a similarity calculation result; and determining the transmissibility of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform which publishes the target media data, the attention amount of each reference media data and the platform weight of each reference media data publishing platform which publishes each reference media data. According to the scheme provided by the embodiment of the invention, the transmissibility of the published data can be quickly and accurately obtained.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device, electronic device and storage medium for determining the propagation power of media data. Background Art

[0002] With the continuous development of Internet technology, information such as articles, news, brand advertisements, etc. can be quickly spread through the Internet and social networks. By calculating the spread of published data, it is possible to quantify the spread effect of published data, providing a basis for helping companies improve spread efficiency, evaluate spread effects, optimize resource allocation, enhance brand influence, support strategic decision-making, and promote innovation.

[0003] At present, the dissemination power of published data is mainly determined by the number of readings, comments and forwardings of the published data. This method has limitations and it is difficult to accurately evaluate the dissemination power of published data.

[0004] How to quickly and accurately obtain the communication power of published data to provide a basis for helping companies improve communication efficiency, evaluate communication effects, optimize resource allocation, enhance brand influence, support strategic decision-making, and promote innovation is a major research issue in the industry. Summary of the invention

[0005] The present invention provides a method, device, electronic device and storage medium for determining the dissemination power of media data, so as to quickly and accurately obtain the dissemination power of published data, and provide a basis for helping enterprises improve dissemination efficiency, evaluate dissemination effects, optimize resource allocation, enhance brand influence, support strategic decision-making and promote innovation.

[0006] According to one aspect of the present invention, a method for determining the dissemination force of media data is provided, the method comprising:

[0007] In response to the instruction for determining the popularity of target media data, determining whether the target media data is original content;

[0008] In the case where it is determined that the target media data is original content, determining first media data released by each media data publishing platform within a time range matching the release time of the target media data;

[0009] Determining the similarity between the target media data and each of the first media data, and determining the reference media data associated with the target media data according to the similarity calculation result;

[0010] The dissemination power of the target media data is determined based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0011] According to another aspect of the present invention, there is provided a device for determining the influence of media data, the device comprising:

[0012] An original content determination module, configured to determine whether the target media data is original content in response to a communication power determination instruction of the target media data;

[0013] A first media data determination module is used to determine, when determining that the target media data is original content, first media data released by each media data publishing platform within a time range that matches the release time of the target media data;

[0014] a reference media data determination module, configured to determine the similarity between the target media data and each of the first media data, and determine the reference media data associated with the target media data according to the similarity calculation result;

[0015] A dissemination power determination module is used to determine the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] at least one processor; and

[0018] a memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the propagation power of media data described in any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the propagation force of media data described in any embodiment of the present invention when executed.

[0021] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the method for determining the dissemination force of media data as described in any embodiment of the present invention.

[0022] The technical solution of the embodiment of the present invention determines whether the target media data is original content by responding to an instruction to determine the dissemination power of the target media data; when it is determined that the target media data is original content, determines the first media data released by each media data publishing platform within a time range that matches the release time of the target media data; determines the similarity between the target media data and each of the first media data, and determines the reference media data associated with the target media data based on the similarity calculation result; determines the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that releases the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that releases each reference media data, so as to quickly and accurately obtain the dissemination power of the released data, and provide a basis for helping enterprises improve dissemination efficiency, evaluate dissemination effects, optimize resource allocation, enhance brand influence, support strategic decision-making, and promote innovation.

[0023] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 is a flow chart of a method for determining the dissemination force of media data provided according to the first embodiment of the present invention;

[0026] Figure 2 is a flow chart of a method for determining the dissemination force of media data provided according to the second embodiment of the present invention;

[0027] Figure 3 is a schematic diagram of the structure of a device for determining the dissemination force of media data provided according to Embodiment 3 of the present invention;

[0028] Figure 4 It is a structural schematic diagram of an electronic device that implements the method for determining the propagation force of media data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 This is a flowchart of a method for determining the spread of media data provided according to the first embodiment of the present invention. This embodiment is applicable to the situation of determining the spread of media data published on different platforms. The method can be executed by a device for determining the spread of media data. The device for determining the spread of media data can be implemented in the form of hardware and / or software. The device for determining the spread of media data can be configured in electronic devices such as computers, servers, cloud servers or tablet computers. Specifically, refer to Figure 1 , the method comprising:

[0033] Step 110: In response to the instruction for determining the popularity of the target media data, determine whether the target media data is original content.

[0034] Among them, the target media data can be news, posters, short videos, articles or pictures published on the target media data publishing platform, which is not limited in this embodiment; the target media data publishing platform can be a news publishing platform, a short video publishing platform, various mini-programs associated with the target application, or cultural and travel applications, which are not limited in this embodiment.

[0035] In an optional implementation of this embodiment, after receiving the instruction to determine the spread of target media data, it can be determined whether the target media data is original content. In a specific implementation, the similarity between the target media data and each data recorded on the network can be detected by a detection tool, and whether the target media data is original content can be determined based on the similarity calculation result; if the similarity between the target media data and each data recorded on the network is less than a set threshold, for example, 10% or 20%, then it can be determined that the target media data is original content.

[0036] Step 120: When it is determined that the target media data is original content, determine the first media data released by each media data publishing platform within a time range that matches the release time of the target media data.

[0037] In an optional implementation of this embodiment, when it is determined that the target media data is original content, the first media data released by each media data publishing platform within a time range matching the release time of the target media data may be further determined.

[0038] The time range that matches the release time of the target media data may be a certain time period after the release time of the target media data, for example, three days, seven days or one month after the release of the target media data.

[0039] Optionally, in this embodiment, after determining that the target media data is original content, the release time of the target media data can be further determined, and all data released within seven days after the release time of the target media data can be obtained on each media data publishing platform; wherein, the data type of each first media data can be the same as or different from the data type of the target media data; the media data platform that publishes each first media data can be the same as or different from the media data publishing platform that publishes the target media data; exemplarily, the data type of the target media data is text, and the media data platform that publishes the target media data is platform A; the acquired first media data can contain a total of 10 pieces of data, wherein the data type of each first media data includes text and pictures, and the media data platforms that publish each first media data are platform A, platform B and platform C respectively.

[0040] Step 130: Determine the similarity between the target media data and each of the first media data, and determine reference media data associated with the target media data according to the similarity calculation result.

[0041] In this embodiment, after obtaining the first media data released by each media data publishing platform within a time range that matches the release time of the target media data, the similarity between the target media data and each first media data can be further determined, and based on the similarity calculation result, each reference media data associated with the target media data can be determined in each first media data.

[0042] In an optional implementation of the present embodiment, after the target media data and the first media data are acquired, the target media data and each first media data may be represented in vector form, and similarity calculation results between the vector representation of the target media data and the vector representation of each first media data may be calculated respectively; the first media data corresponding to the similarity calculation result greater than a set similarity threshold (for example, 0.9 or 0.98, etc., which is not limited in the present embodiment) is determined as the reference media data.

[0043] It can be understood that each reference media data obtained by similarity determination can be considered as reproduced data of the target media data. In this embodiment, it is named as reference media data, which is not a limitation of this embodiment.

[0044] Step 140: determine the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0045] Among them, the amount of attention to the target media data can be the number of readings or clicks on the target media data. It can be understood that if a user comments on the target media data, it must be based on the behavior after reading or clicking the target media data. Therefore, in this embodiment, the number of comments on the target media data is not counted, which can not only ensure the accuracy of the calculation results, but also save a lot of calculations.

[0046] In an optional implementation of the present embodiment, after determining the reference media data associated with the target media data, the attention amount of the target media data can be further determined respectively, for example, the reading amount of the target media data, the platform weight of the media data publishing platform that publishes the target media data, the reading amount of each reference media data, and the platform weight of the media data publishing platform that publishes each reference media data can be determined; further, the dissemination power of the target media data can be determined based on the reading amount of the target media data, the platform weight of the media data publishing platform that publishes the target media data, the reading amount of each reference media data, and the platform weight of the media data publishing platform that publishes each reference media data.

[0047] Optionally, in this embodiment, after determining the amount of attention to the target media data, for example, determining the number of views of the target media data, the platform weight of the media data publishing platform that publishes the target media data, the number of views of each reference media data, and the platform weight of the media data publishing platform that publishes each reference media data, the number of views of the target media data and the platform weight of the media data publishing platform that publishes each reference media data can be multiplied to obtain a first calculation result; the number of views of each reference media data and the platform weight of the media data publishing platform that publishes each reference media data can be multiplied to obtain a second calculation result; the first calculation result and the second calculation result are added together to obtain the dissemination power of the target media data.

[0048] The technical solution of this embodiment determines whether the target media data is original content by responding to an instruction to determine the dissemination power of the target media data; when it is determined that the target media data is original content, determines the first media data released by each media data publishing platform within a time range that matches the release time of the target media data; determines the similarity between the target media data and each of the first media data, and determines the reference media data associated with the target media data based on the similarity calculation result; determines the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that releases the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that releases each reference media data, so as to quickly and accurately obtain the dissemination power of the released data, and provide a basis for helping enterprises improve dissemination efficiency, evaluate dissemination effects, optimize resource allocation, enhance brand influence, support strategic decision-making, and promote innovation.

[0049] Embodiment 2

[0050] Figure 2 1 is a flow chart of a method for determining the dissemination power of media data provided according to Embodiment 2 of the present invention. This embodiment is a further refinement of the above technical solution. The technical solution in this embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 2 As shown, the method includes:

[0051] Step 210: In response to the instruction for determining the popularity of the target media data, determine whether the target media data is original content.

[0052] Optionally, in this embodiment, determining whether the target media data is original content may include: determining the release time of the target media data, and obtaining second media data released on each media data publishing platform within a first preset time period before the release time; determining a target embedded representation of the target media data and an embedded representation of each of the second media data based on a pre-trained large model; respectively determining the similarity between the target embedded representation and the embedded representation of each of the second media data, and obtaining each second similarity calculation result; when each of the second similarity calculation results is less than a second similarity threshold, determining that the target media data is original content.

[0053] Among them, the first preset time period can be three days, seven days or one month before the release time, which is not limited in this embodiment; the second media data can be all media data such as news, posters, short videos, articles or pictures released by various media data publishing platforms within the first preset time period, which is also not limited in this embodiment.

[0054] In an optional implementation of the present embodiment, the release time of the target media data can be determined based on an instruction for determining the spread of the target media data. For example, the instruction for determining the spread of the target media data can be parsed to obtain the release time of the target media data. Furthermore, a first preset time period can be determined based on the release time of the target media data, and second media data released by each media data publishing platform within the first data time period can be obtained.

[0055] Furthermore, the embedded representation of the target media data and the embedded representation of each acquired second media data can be determined based on the pre-trained large model; exemplarily, the target media data and each second media data can be input into the pre-trained large model to output the embedded representation of the target media data and the embedded representation of each second media data.

[0056] Furthermore, the similarity between the target media data and each second media data can be determined based on the embedded representation of the target media data and the embedded representation of each second media data; in this embodiment, the similarity between the target media data and the embedded representation of each second media data can be calculated respectively to obtain multiple second similarity calculation results; further, the relationship between the second similarity calculation results and the second similarity threshold can be determined respectively. If it is determined that the second similarity calculation results are all less than the second similarity threshold, that is, the target media data is unknown to the second media data obtained within the first preset time period, then it can be determined that the target media data is original content.

[0057] The second similarity threshold may be 0.3, 0.4 or 0.5, etc., which is not limited in this embodiment.

[0058] Step 220: Acquire the first media data published on each media data publishing platform within a second preset time period after the publishing time.

[0059] In an optional implementation of this embodiment, after determining that the target media data is original content, first media data released by each media data within a second preset time period after the release time of the target media data may be further obtained.

[0060] Among them, the second preset time period can be three days, seven days or one month after the release time, which is not limited in this embodiment; the first media data can be all media data such as news, posters, short videos, articles or pictures released by various media data publishing platforms within the second preset time period, which is not limited in this embodiment.

[0061] In this embodiment, the media data publishing platforms may include: news publishing platforms, short video publishing platforms, mini-programs associated with the target application, or cultural and travel applications, etc., which are not limited in this embodiment.

[0062] Step 230: Determine the similarity between the target media data and each of the first media data, and determine the reference media data associated with the target media data according to the similarity calculation result.

[0063] In an optional implementation of this embodiment, after the first media data is acquired, the similarity between the target media data and each acquired first media data may be further determined, and each reference media data associated with the target media data may be determined based on the similarity calculation result.

[0064] Optionally, in this embodiment, determining the similarity between the target media data and each of the first media data, and determining the reference media data associated with the target media data based on the similarity calculation result, may include: determining the target embedded representation of the target media data and the embedded representation of each of the first media data based on a pre-trained large model; respectively determining the similarity between the target embedded representation and the embedded representation of each of the first media data to obtain each first similarity calculation result; determining the first media data corresponding to each first similarity calculation result greater than a first similarity threshold as the reference media data associated with the target media data.

[0065] In an optional implementation of this embodiment, after acquiring the first media data, the embedded representation of the target media data and the embedded representation of each acquired first media data can be determined based on a pre-trained large model; exemplarily, the target media data and each first media data can be input into the pre-trained large model to output the embedded representation of the target media data and the embedded representation of each first media data.

[0066] Furthermore, the similarity between the target media data and each first media data can be determined based on the embedded representation of the target media data and the embedded representation of each first media data; in this embodiment, the similarity between the target media data and the embedded representation of each first media data can be calculated respectively to obtain multiple first similarity calculation results; further, the relationship between the first similarity calculation results and the first similarity threshold can be determined respectively, and the first media data corresponding to each first similarity calculation result greater than the first similarity threshold can be determined as the reference media data associated with the target media data.

[0067] The second similarity threshold may be 0.8, 0.9 or 0.95, etc., which is not limited in this embodiment.

[0068] In another optional implementation of the present embodiment, after obtaining each first similarity calculation result, each first similarity calculation result can be sorted, for example, in ascending order, and the first media data corresponding to the first similarity calculation results ranked in the top N positions (for example, the top three positions, the top ten positions, or the top twenty positions, which are not limited in the present embodiment) are determined as reference media data associated with the target media data.

[0069] Step 240: Determine the platform weights of the media data publishing platforms that publish the reference media data and the platform weights of the target media data publishing platforms that publish the target media data.

[0070] The platform weight is determined by one or more of the scale, creation time, influence and region of the media data publishing platform.

[0071] In an optional implementation of this embodiment, after obtaining each reference media data associated with the target media data, the platform weight of the media data publishing platform that publishes each reference media data and the platform weight of the target media data publishing platform that publishes the target media data can be determined respectively.

[0072] Optionally, in this embodiment, the platform weight of each media data publishing platform can be determined based on one or more of the scale, creation time, influence and region of different media data publishing platforms; illustratively, the larger the scale, the earlier the creation time, the greater the influence and the higher the city level of the region the media data publishing platform belongs to, the higher the platform weight; the smaller the scale, the later the creation time, the smaller the influence and the lower the city level of the region the media data publishing platform belongs to, the lower the platform weight.

[0073] In an example of this embodiment, the platform weight of media data publishing platform A may be 10,000; and the platform weight of media data publishing platform B may be 5,000.

[0074] Step 250, determine the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0075] In an optional implementation of the present embodiment, after determining the platform weight of the media data publishing platform that publishes each of the reference media data and the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of the target media data and the attention amount of each reference media data can be further obtained. For example, the reading amount of the target media data can be obtained from the data file of the target media data, and the reading amount of each reference media data can be obtained from the data file of each reference media data respectively; further, the dissemination power of the target media data can be determined based on the platform weight of the media data publishing platform that publishes each of the reference media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of the target media data, and the attention amount of each reference media data.

[0076] Optionally, in this embodiment, determining the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data can include: determining the reception time of the dissemination power determination instruction of the target media data, and determining the time interval between the reception time and the publishing time of the target media data; if it is determined that the time interval is greater than the first time threshold, determining the attention amount of the target media data and the attention amount of each reference media data before the reception time; adding the attention amount of the target media data to the attention amount of each reference media data and the sum of the attention amount of each reference media data The dissemination power of the target media data is obtained by multiplying the platform weight of the publishing platform by the platform weight of the publishing platform; if it is determined that the time interval is less than or equal to the first time threshold, and before the release of each reference media data, the dissemination power of the target media data is the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published time of the target media data; if it is determined that the time interval is less than or equal to the first time threshold, and after the release of each reference media data, the dissemination power of the target media data is the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published time of the target media data, and the quotient of the platform weight of the reference media data publishing platform and the first time threshold multiplied by the published time of the reference media data.

[0077] The first time threshold may be 12 hours or one day, which is not limited in this embodiment.

[0078] In an optional implementation of the present embodiment, in the process of determining the spreadability of the target media data, the reception time of the spreadability determination instruction of the target media data can be determined, and further, the time interval between the reception time and the release time of the target media time data can be determined; it can be understood that the reception time of the spreadability determination instruction of the target media data should be later than the release time of the target media data; in the present embodiment, the time interval can be obtained by subtracting the release time from the reception time.

[0079] Further, if it is determined that the time interval obtained by the above calculation is greater than the first time threshold (for example, the time interval is one day), then the attention amount of the target media data and the attention amount of each reference media data before the receiving time can be determined; further, the attention amount of the target media data can be added to the product of the attention amount of each reference media data and the platform weight of each reference media data publishing platform, so as to obtain the dissemination power of the target media data.

[0080] In an example of this embodiment, the target media data is manuscript A, and the reference media data associated with the target media data are manuscript B and manuscript C. Then, 12 hours after manuscript A is released, the dissemination power of manuscript A = the reading volume of the target media data + the reading volume of manuscript B * the platform weight of the media data publishing platform that publishes manuscript B + the reading volume of manuscript C * the platform weight of the media data publishing platform that publishes manuscript C.

[0081] In another optional implementation of this embodiment, if it is determined that the time interval obtained by the above calculation is less than or equal to the first time threshold (for example, the time interval is 1 hour), and the reference media data associated with the target media data is not obtained at this time, then the dissemination power of the target media data is the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published duration of the target media data.

[0082] In another optional implementation of this embodiment, if it is determined that the time interval obtained by the above calculation is less than or equal to the first time threshold (for example, the time interval is 2 hours), and the reference media data associated with the target media data is obtained at this time, then the dissemination power of the target media data is the product of the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published length of time of the target media data, and the product of the quotient of the platform weight of the reference media data publishing platform and the first time threshold multiplied by the published length of time of the reference media data.

[0083] In an example of this embodiment, the target media data is manuscript A, and the publishing time of manuscript A is 10 o'clock; manuscript B is the reference media data of manuscript A, and the publishing time of manuscript B is 11:30; the platform weight of the target media data publishing platform that publishes manuscript A is 10000; the platform weight of the media data publishing platform that publishes manuscript B is 5000; then, when the time interval is 1 hour, the dissemination power of manuscript A is: 1000 / 12*1; when the time interval is 2 hours, the dissemination power of manuscript A is: 1000 / 12*2+5000 / 12*1.

[0084] The solution of this embodiment can determine the reception time of the instruction based on the communication power of the target media data, and determine the time interval between the reception time and the release time of the target media data. Furthermore, based on the specific value of the time interval, different methods can be selected to determine the communication power of the target media data, thereby improving the calculation speed and accuracy of the communication power of the target media data, and providing a basis for helping enterprises improve communication efficiency, evaluate communication effects, optimize resource allocation, enhance brand influence, support strategic decision-making and promote innovation.

[0085] On the basis of the above technical solution, when it is determined that the target media data is non-original content, the method may further include: determining original media data associated with the target media data, and determining the dissemination power of the original media data based on the target media data.

[0086] Optionally, in this embodiment, if the target media data is determined to be non-original content, that is, within a first preset time period before the release time of the target media data, the media data publishing platform has released media data similar to the target media data, which is referred to as original media data of the target media data in this embodiment. At this time, the target media data can be determined to be reference media data of the previously released original media data, or reprinted media data; in this embodiment, the dissemination power of the original media data can be determined based on the target media data; the dissemination power of the original media data can be determined according to the dissemination power determination method involved in the above-mentioned embodiment, which will not be described in detail in this embodiment.

[0087] The advantage of such a setting is that, when the target media data is non-original content, the original media data associated with the target media data can be determined, thereby providing a basis for determining the dissemination power of the original media data.

[0088] In order to better understand the method for determining the dissemination power of media data involved in this embodiment, a specific example is used below to illustrate it, which mainly includes:

[0089] 1) Obtain various media data from different media data publishing platforms, which may include dissemination data such as forwarding, likes, and reading volume of various media data;

[0090] 2) Preprocess the acquired media data, for example, remove meaningless data, interpolate or fill in incomplete data records, or unify the format of data from different media data publishing platforms;

[0091] 3) Desensitize the acquired media data, for example, anonymize user sensitive information;

[0092] 4) Based on the natural language processing model, the acquired media data can be classified based on comments or content, and different weights can be set for different media data platforms;

[0093] 5) Determine the vectorized representation of each preprocessed media data based on the large model;

[0094] 6) Determine the similarity of different media data, original media data, time range for calculating dissemination power, reprint link and time priority, determination of storage time, and calculation of dissemination power based on the vectorized representation of each preprocessed media data;

[0095] In the specific implementation, when determining the time range for calculating the spreadability, the spread and reprinting of manuscripts will only be calculated based on the similarity of manuscripts published in the past 7 days to ensure the timeliness and accuracy of the data; in addition, the spreadability of an original manuscript will only be calculated within 7 days after publication, and will not be calculated after 7 days.

[0096] For example, if article A is judged to be original on the 1st, and on the 8th an article C reprints article A, then the calculated spread of article A will not include article C; article C on the 8th will be compared for similarity with articles between 2 and 8 to determine which articles during this period are original and which are reprinted.

[0097] In this embodiment, if the manuscript is entered into the database late, for example, it is entered into the database 7 days after it is published (for example, manuscript A is published on the 1st and entered into the database on the 15th or even later), this situation requires special consideration: in this embodiment, the delayed manuscript is only calculated for similarity with the manuscripts 7 days before the day of entry, and does not affect the previous originality judgment; if manuscript C is entered into the database after the 8th (for example, on the 15th), then C does not affect the originality that has been judged before the 14th.

[0098] In this embodiment, the actual publishing time of each manuscript is dynamically recorded and associated with the storage time, and delayed storage manuscripts are treated as special: by recording their actual publishing time and storage time, a time window adjustment is added when judging similarity.

[0099] In this embodiment, with respect to the reprint link and time priority, manuscript A, 2024-06-08, manuscript B, 2024-06-09, B is reprinted from A. At this time, a new manuscript C is stored in the database, and the closest similarity to it is B (the similarity between C and A is not high), but its release time is earlier than B. At this time, C will not be considered as a reprint of B, nor will the reprint link of AB be cut off.

[0100] 7) Dynamically monitor and provide real-time warnings for hot events based on the calculation results of the spread ability.

[0101] The solution of this embodiment provides a comprehensive and efficient method for calculating communication power, which can capture the different characteristics of information in short-term and long-term communication, and can support real-time analysis of multi-platform data, providing a basis for helping enterprises improve communication efficiency, evaluate communication effects, optimize resource allocation, enhance brand influence, support strategic decision-making and promote innovation.

[0102] Embodiment 3

[0103] Figure 3 2 is a schematic diagram of a structure of a device for determining the dissemination power of media data according to the third embodiment of the present invention. Figure 3 As shown, the device includes: an original content determination module 310, a first media data determination module 320, a reference media data determination module 330 and a communication power determination module 340.

[0104] The original content determination module 310 is used to determine whether the target media data is original content in response to the communication power determination instruction of the target media data;

[0105] A first media data determination module 320 is used to determine, when determining that the target media data is original content, first media data released by each media data release platform within a time range that matches the release time of the target media data;

[0106] A reference media data determination module 330, configured to determine the similarity between the target media data and each of the first media data, and determine the reference media data associated with the target media data according to the similarity calculation result;

[0107] The dissemination power determination module 340 is used to determine the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0108] The scheme of this embodiment is to determine whether the target media data is original content by the original content determination module in response to the communication power determination instruction of the target media data; determine the first media data released by each media data publishing platform within a time range that matches the release time of the target media data by the first media data determination module when the target media data is determined to be original content; determine the similarity between the target media data and each of the first media data by the reference media data determination module, and determine the reference media data associated with the target media data based on the similarity calculation result; determine the communication power of the target media data by the communication power determination module based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data and the platform weight of each reference media data publishing platform that publishes each reference media data, so as to quickly and accurately obtain the communication power of the published data, and provide a basis for helping enterprises improve communication efficiency, evaluate communication effects, optimize resource allocation, enhance brand influence, support strategic decision-making and promote innovation.

[0109] In an optional implementation of this embodiment, the original content determination module 310 is specifically used to determine the release time of the target media data, and obtain the second media data released on each media data release platform within a first preset time period before the release time;

[0110] Determine a target embedding representation of the target media data and an embedding representation of each of the second media data based on a pre-trained large model;

[0111] Respectively determining similarities between the target embedding representation and each embedding representation of the second media data to obtain respective second similarity calculation results;

[0112] When all the second similarity calculation results are smaller than the second similarity threshold, it is determined that the target media data is original content.

[0113] In an optional implementation of this embodiment, the device for determining the spread of media data also includes an original media data determination module, which is used to determine the original media data associated with the target media data, and determine the spread of the original media data based on the target media data.

[0114] In an optional implementation of this embodiment, the first media data determining module 320 is specifically configured to obtain the first media data published on each media data publishing platform within a second preset time period after the publishing time;

[0115] The media data publishing platform includes: a news publishing platform, a short video publishing platform, and various mini-programs or cultural and travel applications associated with the target application.

[0116] In an optional implementation of this embodiment, the reference media data determination module 330 is specifically configured to determine the target embedded representation of the target media data and the embedded representation of each of the first media data based on a pre-trained large model;

[0117] Respectively determining similarities between the target embedding representation and the embedding representation of each of the first media data, and obtaining first similarity calculation results;

[0118] The first media data corresponding to each first similarity calculation result greater than the first similarity threshold is determined as reference media data associated with the target media data.

[0119] In an optional implementation of this embodiment, the media data dissemination force determination device further includes: a platform weight determination module, which is used to respectively determine the platform weight of the media data publishing platform that publishes each of the reference media data, and the platform weight of the target media data publishing platform that publishes the target media data;

[0120] The platform weight is determined by one or more of the scale, creation time, influence and region of the media data publishing platform.

[0121] In an optional implementation of this embodiment, the communication power determination module 340 is specifically used to determine the reception time of the communication power determination instruction of the target media data, and determine the time interval between the reception time and the release time of the target media data;

[0122] If it is determined that the time interval is greater than the first time threshold, determining the attention amount of the target media data and the attention amount of each reference media data before the receiving time;

[0123] The amount of attention of the target media data is added to the product of the amount of attention of each reference media data and the platform weight of each reference media data publishing platform to obtain the dissemination power of the target media data;

[0124] If it is determined that the time interval is less than or equal to the first time threshold, and before each reference media data is released, the dissemination power of the target media data is the quotient of the platform weight of the target media data release platform and the first time threshold multiplied by the release duration of the target media data;

[0125] If it is determined that the time interval is less than or equal to the first time threshold, and after each reference media data is released, the dissemination power of the target media data is the result of adding the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published length of time of the target media data, and the quotient of the platform weight of the reference media data publishing platform and the first time threshold multiplied by the published length of time of the reference media data.

[0126] The device for determining the spreadability of media data provided in the embodiment of the present invention can execute the method for determining the spreadability of media data provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0127] Embodiment 4

[0128] Figure 4A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0129] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0130] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0131] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as a method for determining the spread of media data, the method comprising: responding to a spread determination instruction for target media data, determining whether the target media data is original content; in the case of determining that the target media data is original content, determining the first media data published by each media data publishing platform within a time range that matches the release time of the target media data; determining the similarity between the target media data and each of the first media data, and determining the reference media data associated with the target media data according to the similarity calculation result; determining the spread of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

[0132] In some embodiments, the method for determining the spread of media data may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining the spread of media data described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for determining the spread of media data in any other appropriate manner (for example, by means of firmware).

[0133] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0134] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0135] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0136] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may 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 input, voice input, or tactile input).

[0137] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0138] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0139] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0140] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining the propagation power of media data, characterized in that: include: In response to the instruction for determining the popularity of target media data, determining whether the target media data is original content; In the case where it is determined that the target media data is original content, determining first media data released by each media data publishing platform within a time range matching the release time of the target media data; Determining the similarity between the target media data and each of the first media data, and determining the reference media data associated with the target media data according to the similarity calculation result; The dissemination power of the target media data is determined based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

2. The method for determining the propagation power of media data according to claim 1, characterized in that: The determining whether the target media data is original content includes: Determine the release time of the target media data, and obtain second media data released on each media data release platform within a first preset time period before the release time; Determine a target embedding representation of the target media data and an embedding representation of each of the second media data based on a pre-trained large model; Respectively determining similarities between the target embedding representation and each embedding representation of the second media data to obtain respective second similarity calculation results; When all the second similarity calculation results are smaller than the second similarity threshold, it is determined that the target media data is original content.

3. The method for determining the propagation power of media data according to claim 1, characterized in that: In the case where it is determined that the target media data is non-original content, the method further includes: Original media data associated with the target media data is determined, and the popularity of the original media data is determined based on the target media data.

4. The method for determining the propagation power of media data according to claim 1, characterized in that: In the case where it is determined that the target media data is original content, determining the first media data released by each media within a time range that matches the release time of the target media data includes: Acquire the first media data published on each media data publishing platform within a second preset time period after the publishing time; The media data publishing platform includes: a news publishing platform, a short video publishing platform, and various mini-programs or cultural and travel applications associated with the target application.

5. The method for determining the propagation power of media data according to claim 1, characterized in that: The determining the similarity between the target media data and each of the first media data, and determining the reference media data associated with the target media data according to the similarity calculation result, includes: Determine a target embedding representation of the target media data and an embedding representation of each of the first media data based on a pre-trained large model; Respectively determining similarities between the target embedding representation and the embedding representation of each of the first media data, and obtaining first similarity calculation results; The first media data corresponding to each first similarity calculation result greater than the first similarity threshold is determined as reference media data associated with the target media data.

6. The method for determining the propagation power of media data according to claim 1, characterized in that: After determining the reference media data associated with the target media data according to the similarity calculation result, the method further includes: respectively determining a platform weight of a media data publishing platform that publishes each of the reference media data, and a platform weight of a target media data publishing platform that publishes the target media data; The platform weight is determined by one or more of the scale, creation time, influence and region of the media data publishing platform.

7. The method for determining the propagation power of media data according to claim 1, characterized in that: The determining the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data includes: Determine the reception time of the communication power determination instruction of the target media data, and determine the time interval between the reception time and the release time of the target media data; If it is determined that the time interval is greater than the first time threshold, determining the attention amount of the target media data and the attention amount of each reference media data before the receiving time; The amount of attention of the target media data is added to the product of the amount of attention of each reference media data and the platform weight of each reference media data publishing platform to obtain the dissemination power of the target media data; If it is determined that the time interval is less than or equal to the first time threshold, and before each reference media data is released, the dissemination power of the target media data is the quotient of the platform weight of the target media data release platform and the first time threshold multiplied by the release duration of the target media data; If it is determined that the time interval is less than or equal to the first time threshold, and after each reference media data is released, the dissemination power of the target media data is the result of adding the quotient of the platform weight of the target media data publishing platform and the first time threshold multiplied by the published length of time of the target media data, and the quotient of the platform weight of the reference media data publishing platform and the first time threshold multiplied by the published length of time of the reference media data.

8. A device for determining the spread of media data, characterized in that: include: An original content determination module, configured to determine whether the target media data is original content in response to a communication power determination instruction of the target media data; A first media data determination module is used to determine, when determining that the target media data is original content, first media data released by each media data publishing platform within a time range that matches the release time of the target media data; a reference media data determination module, configured to determine the similarity between the target media data and each of the first media data, and determine the reference media data associated with the target media data according to the similarity calculation result; A dissemination power determination module is used to determine the dissemination power of the target media data based on the attention amount of the target media data, the platform weight of the target media data publishing platform that publishes the target media data, the attention amount of each reference media data, and the platform weight of each reference media data publishing platform that publishes each reference media data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method for determining the propagation power of media data described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the propagation power of media data described in any one of claims 1-7 when executed.

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