Evaluation Method, Device, Electronic Device and Storage Medium for User Satisfaction

Abstract

The present application provides a method, apparatus, electronic device and storage medium for evaluating user satisfaction. In the method for evaluating user satisfaction, first, text information to be evaluated is obtained. Then, an interaction theme corresponding to the text information to be evaluated is determined, and a historical user satisfaction score corresponding to the interaction theme is obtained. Next, the text information to be evaluated is divided into rounds according to preset conditions, and text information of one or more conversation rounds is obtained. For the text information of each round, the text information of the current round and the satisfaction score corresponding to the interaction theme are input into an emotion evaluation model for processing, and a user satisfaction score corresponding to the text information of the current round is obtained. Finally, the user satisfaction scores corresponding to the text information of each round are summarized to obtain the user satisfaction score corresponding to the text information to be evaluated. Therefore, the user satisfaction can be automatically and intelligently evaluated according to the interaction information between the user and the customer service.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, and in particular, to a method, device, electronic device, and storage medium for evaluating user satisfaction. Background Art

[0002] With the popularization and development of Internet applications, more and more companies choose to replace the traditional telephone customer service mode with the Internet online customer service communication mode. The main reason is that the popularization of the Internet makes people more willing to communicate in the way of online chatting. At the same time, for Internet service providers, the communication efficiency of Internet online customer service is higher than that of ordinary telephone customer service, and customer service staff can serve more users at the same time. To ensure service quality, it is usually necessary to obtain the satisfaction of users with the service to evaluate the service quality.

[0003] In the prior art, the way to obtain the satisfaction of users is usually to let users score the service to obtain the satisfaction; or to manually check the communication records of users, and then evaluate the satisfaction of users according to the content and results of the communication. It can be seen that the methods of the prior art all need to be completed manually, which will consume a lot of working time and human resources and cannot quickly and accurately evaluate the satisfaction of users. Summary of the Invention

[0004] In view of this, this application provides a method, device, electronic device, and storage medium for evaluating user satisfaction to solve the problem that obtaining the satisfaction of users in the prior art will consume a lot of working time and human resources and cannot quickly and accurately evaluate the satisfaction of users.

[0005] To achieve the above object, this application provides the following technical solutions:

[0006] The first aspect of this application discloses a method for evaluating user satisfaction, including:

[0007] Obtain text information to be evaluated; wherein, the text information to be evaluated is the interaction information between the user and the customer service;

[0008] Determine the interaction theme corresponding to the text information to be evaluated;

[0009] Obtain the historical user satisfaction score corresponding to the interaction theme;

[0010] Divide the text information to be evaluated into rounds according to preset conditions to obtain text information of one or more dialogue rounds;

[0011] For the text information of each round, the text information of the current round and the satisfaction score corresponding to the interaction theme are input into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data;

[0012] The user satisfaction scores corresponding to the text information of each round are summarized to obtain the user satisfaction score corresponding to the text information to be evaluated.

[0013] Optionally, in the above method, the obtaining the historical user satisfaction score corresponding to the interaction theme includes:

[0014] According to the interaction theme corresponding to the evaluation text information, the historical user satisfaction score corresponding to the interaction theme is found from the preset theme satisfaction list; wherein, the theme satisfaction list is constructed based on the historical data of the user satisfaction scores corresponding to each interaction theme.

[0015] Optionally, in the above method, before the text information of each round is input into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round, it further includes:

[0016] Perform data preprocessing on the text information of each round.

[0017] Optionally, in the above method, after the user satisfaction scores corresponding to the text information of each round are summarized to obtain the user satisfaction score corresponding to the text information to be evaluated, it further includes:

[0018] Input the satisfaction score corresponding to the text information to be evaluated into the theme satisfaction list to update the data in the theme satisfaction list.

[0019] A second aspect of the present application discloses an evaluation device for user satisfaction, including:

[0020] A first acquisition unit for acquiring text information to be evaluated; wherein, the text information to be evaluated is the interaction information between the user and the customer service;

[0021] A determination unit for determining the interaction theme corresponding to the text information to be evaluated;

[0022] A second acquisition unit for acquiring the historical user satisfaction score corresponding to the interaction theme;

[0023] A division unit for dividing the text information to be evaluated into rounds according to preset conditions, so as to obtain text information of one or more conversation rounds;

[0024] A processing unit for, for the text information of each round, inputting the text information of the current round and the satisfaction score corresponding to the interaction theme into an emotion evaluation model for processing, so as to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the emotion evaluation model is a model obtained by training using historical text information and historical user satisfaction data;

[0025] A summarization unit for performing summarization processing on the user satisfaction scores corresponding to the text information of each round, so as to obtain the user satisfaction score corresponding to the text information to be evaluated.

[0026] Optionally, for the above device, the second acquisition unit includes:

[0027] A search subunit for searching, according to the interaction theme corresponding to the evaluation text information, the historical user satisfaction score corresponding to the interaction theme from a preset theme satisfaction list; wherein, the theme satisfaction list is constructed based on historical data of user satisfaction scores corresponding to each interaction theme.

[0028] Optionally, the above device further includes:

[0029] A data preprocessing unit for performing data preprocessing on the text information of each round.

[0030] Optionally, the above device further includes:

[0031] An update unit for inputting the satisfaction score corresponding to the text information to be evaluated into the theme satisfaction list to update the data in the theme satisfaction list.

[0032] The third aspect of the present application discloses an electronic device, including:

[0033] One or more processors;

[0034] A storage device on which one or more programs are stored;

[0035] When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method according to any one of the first aspect of the present invention.

[0036] The fourth aspect of the present application discloses a computer storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method according to any one of the first aspect of the present invention.

[0037] As can be seen from the above technical solution, in an evaluation method for user satisfaction provided by the present application, first, text information to be evaluated is obtained; wherein, the text information to be evaluated is the interaction information between the user and the customer service. Then, the interaction theme corresponding to the text information to be evaluated is determined, and the historical user satisfaction score corresponding to the interaction theme is obtained. Next, the text information to be evaluated is divided into rounds according to preset conditions to obtain text information of one or more conversation rounds. For the text information of each round, the text information of the current round and the satisfaction score corresponding to the interaction theme are input into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data. Finally, the user satisfaction scores corresponding to the text information of each round are summarized to obtain the user satisfaction score corresponding to the text information to be evaluated. It can be seen that by using the method of the present application, the user satisfaction can be automatically and intelligently evaluated according to the interaction information between the user and the customer service, solving the problem that obtaining the user satisfaction in the prior art consumes a large amount of working time and human resources and cannot quickly and accurately evaluate the user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.

[0039] Figure 1 It is a flowchart of an evaluation method for user satisfaction disclosed in another embodiment of the present application;

[0040] Figure 2 It is a schematic diagram of an evaluation device for user satisfaction disclosed in another embodiment of the present application;

[0041] Figure 3 It is a schematic diagram of an electronic device disclosed in another embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0043] In this application, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0044] Also, in this document, relational terms such as first and second are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0045] As can be seen from the background art, in the prior art, the way to obtain the user's satisfaction is usually to let the user rate the service to obtain the satisfaction; or to manually spot-check the communication records of the user, and then evaluate the user's satisfaction according to the content and results of the communication, etc. It can be seen that the methods of the prior art all need to be completed manually, which will consume a large amount of working time and human resources and cannot quickly and accurately evaluate the user's satisfaction.

[0046] In view of this, the present application actually provides an evaluation method, device, electronic device and storage medium for user satisfaction to solve the problem in the prior art that obtaining the user's satisfaction will consume a large amount of working time and human resources and cannot quickly and accurately evaluate the user's satisfaction.

[0047] An embodiment of the present application provides an evaluation method for user satisfaction, specifically as Figure 1 shown, mainly including:

[0048] S101. Obtain the text information to be evaluated; wherein, the text information to be evaluated is the interaction information between the user and the customer service.

[0049] It should be noted that when investigating the user's satisfaction with the customer service, it is first necessary to obtain the text information for evaluating the user's satisfaction, that is, the interaction information between the user and the customer service, such as the chat record between the user and the customer service.

[0050] S102. Determine the interaction theme corresponding to the text information to be evaluated.

[0051] It should be noted that after obtaining the text information to be evaluated, the interaction theme corresponding to the current text information to be evaluated is determined according to the specific interaction information between the user and the customer service. The interaction theme can be divided according to the actual situation, such as the pre-sales consultation theme, the order inquiry theme, the after-sales rights protection theme, etc. During the interaction between the user and the customer service, if the user asks the customer service about the order situation, then the interaction theme corresponding to the current text information to be evaluated can be determined as the order inquiry theme.

[0052] S103. Obtain the user satisfaction score corresponding to the interaction theme.

[0053] It should be noted that after determining the interaction theme corresponding to the text information to be evaluated, the historical satisfaction score corresponding to the current interaction theme is obtained. This score is obtained by calculating the historical data of the satisfaction scores of each user under this interaction theme and can be set as the average of each historical satisfaction score. This score is used to reflect the overall satisfaction of historical users under this interaction theme. For example, the emotions shown by users in the cases of pre-sales consultation and after-sales rights protection are different. Generally, the user satisfaction during after-sales maintenance is relatively low. The historical user satisfaction score corresponding to the interaction theme can be used as one of the factors to measure user satisfaction.

[0054] Optionally, in another embodiment of the present application, an implementation manner of step S103 may include:

[0055] According to the interaction theme corresponding to the evaluation text information, find out the user satisfaction score corresponding to the interaction theme from the preset theme satisfaction list; wherein, the theme satisfaction list is constructed according to the historical data of the user satisfaction scores corresponding to each interaction theme.

[0056] It should be noted that after determining the interaction theme corresponding to the current text information to be evaluated, according to the interaction theme corresponding to the evaluation text information, search in the pre-constructed theme satisfaction list to obtain the user satisfaction score corresponding to the current interaction theme. Wherein, the theme satisfaction list is constructed according to the historical data of the user satisfaction scores corresponding to each interaction theme.

[0057] S104. Divide the text information to be evaluated into rounds according to preset conditions to obtain one or more rounds of text information.

[0058] It should be noted that the interaction information between the user and the customer service may sometimes be relatively complex. Therefore, it is necessary to divide the text information to be evaluated into rounds according to preset conditions to obtain one or more rounds of text information for dialogue. For example, taking one question-and-answer between the user and the customer service as one round, and then dividing the text information to be evaluated according to the dimension of one question-and-answer to obtain one or more rounds of text information for dialogue.

[0059] S105. For the text information of each round, input the text information of the current round and the satisfaction score corresponding to the interaction theme into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data.

[0060] It should be noted that for the text information of each round, input the text information of the current round and the user satisfaction score corresponding to the interaction theme obtained above into the sentiment evaluation model together. The sentiment evaluation model calculates through operations to obtain the user satisfaction score corresponding to the text information of the current round. The value range of this score is between -10 and 10. Of course, other value ranges can also be set according to actual situations. Among them, the sentiment evaluation model is a neural network model trained using historical text information and historical user satisfaction data.

[0061] Optionally, in another embodiment of the present application, before executing step S105, it may further include:

[0062] Perform data preprocessing on the text information of each round.

[0063] It should be noted that after obtaining the text information of each round, perform data preprocessing on the text information of each round. For example, perform word segmentation on the obtained text information, and then use the word2vec model to vectorize the segmented text to obtain a text vector. Then input the text vector and the user satisfaction corresponding to the interaction theme into the sentiment evaluation model for calculation to obtain the user satisfaction score corresponding to the text information of the current round. Of course, sentence segmentation can also be performed on the obtained text information according to actual requirements.

[0064] S106. Aggregate the user satisfaction scores corresponding to the text information of all rounds to obtain the user satisfaction score corresponding to the text information to be evaluated.

[0065] It should be noted that after obtaining the user satisfaction score corresponding to the text information of each round, aggregate the user satisfaction scores corresponding to the text information of each round through linear prediction to obtain the user satisfaction score corresponding to the text information to be evaluated.

[0066] Optionally, in another embodiment of the present application, after executing step S106, it may further include:

[0067] Input the overall satisfaction score of the text information to be evaluated obtained into the theme satisfaction list to update the data in the theme satisfaction list.

[0068] It should be noted that after obtaining the user satisfaction score corresponding to the text information to be evaluated, the user satisfaction score corresponding to the text information to be evaluated is input into the theme satisfaction list to update the data in the theme satisfaction list, so as to maintain the accuracy of the data in the theme satisfaction list.

[0069] In an evaluation method of user satisfaction provided by an embodiment of the present application, first, text information to be evaluated is obtained; wherein, the text information to be evaluated is the interaction information between a user and a customer service. Then, the interaction theme corresponding to the text information to be evaluated is determined, and the historical user satisfaction score corresponding to the interaction theme is obtained. Next, the text information to be evaluated is divided into rounds according to preset conditions to obtain text information of one or more conversation rounds. For the text information of each round, the text information of the current round and the satisfaction score corresponding to the interaction theme are input into an emotion evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the emotion evaluation model is a model obtained by training using historical text information and historical user satisfaction data. Finally, the user satisfaction scores corresponding to the text information of each round are summarized to obtain the user satisfaction score corresponding to the text information to be evaluated. It can be seen that by using the method of the present application, the user satisfaction can be automatically and intelligently evaluated according to the interaction information between the user and the customer service, solving the problem that obtaining the user satisfaction in the prior art consumes a large amount of working time and human resources and cannot quickly and accurately evaluate the user satisfaction.

[0070] Another embodiment of the present application also discloses an evaluation device for user satisfaction, as Figure 2 shown, specifically including:

[0071] A first acquisition unit 201, configured to acquire text information to be evaluated; wherein, the text information to be evaluated is the interaction information between a user and a customer service.

[0072] A determination unit 202, configured to determine the interaction theme corresponding to the text information to be evaluated.

[0073] A second acquisition unit 203, configured to acquire the historical user satisfaction score corresponding to the interaction theme.

[0074] A division unit 204, configured to divide the text information to be evaluated into rounds according to preset conditions to obtain text information of one or more conversation rounds.

[0075] A processing unit 205, configured to, for the text information of each round, input the text information of the current round and the satisfaction score corresponding to the interaction theme into an emotion evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the emotion evaluation model is a model obtained by training using historical text information and historical user satisfaction data.

[0076] The summarization unit 206 is configured to summarize the user satisfaction scores corresponding to the text information in each round to obtain the user satisfaction score corresponding to the text information to be evaluated.

[0077] In this embodiment, for the specific execution processes of the first acquisition unit 201, the determination unit 202, the second acquisition unit 203, the division unit 204, the processing unit 205, and the summarization unit 206, reference may be made to the corresponding Figure 1 method embodiment content, which will not be elaborated here.

[0078] In an evaluation device for user satisfaction provided in an embodiment of the present application, first, the first acquisition unit 201 acquires the text information to be evaluated; where the text information to be evaluated is the interaction information between the user and the customer service. Then, the determination unit 202 determines the interaction theme corresponding to the text information to be evaluated, and the second acquisition unit 203 acquires the historical user satisfaction score corresponding to the interaction theme. Next, the division unit 204 divides the text information to be evaluated according to preset conditions into text information of one or more dialogue rounds. For the text information in each round, the processing unit 205 inputs the text information in the current round and the satisfaction score corresponding to the interaction theme into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information in the current round; where the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data. Finally, the summarization unit 206 summarizes the user satisfaction scores corresponding to the text information in each round to obtain the user satisfaction score corresponding to the text information to be evaluated. It can be seen that by using the method of the present application, the user satisfaction can be automatically and intelligently evaluated according to the interaction information between the user and the customer service, solving the problem in the prior art that obtaining the user satisfaction consumes a large amount of working time and human resources and cannot quickly and accurately evaluate the user satisfaction.

[0079] Optionally, in another embodiment of the present application, an implementation manner of the second acquisition unit 203 includes:

[0080] A search subunit, configured to search for the historical user satisfaction score corresponding to the interaction theme from a preset theme satisfaction list according to the interaction theme corresponding to the evaluation text information; where the theme satisfaction list is constructed based on the historical data of the user satisfaction scores corresponding to each interaction theme.

[0081] In this embodiment, for the specific execution process of the search subunit, reference may be made to the corresponding above method embodiment content, which will not be elaborated here.

[0082] Optionally, in another embodiment of the present application, the above evaluation device for user satisfaction may further include:

[0083] A data preprocessing unit for preprocessing the text information in each round.

[0084] In this embodiment, for the specific execution process of the data preprocessing unit, reference may be made to the corresponding content in the above method embodiment, which will not be elaborated here.

[0085] Optionally, in another embodiment of the present application, the above user satisfaction evaluation device may further include:

[0086] An update unit for inputting the satisfaction score corresponding to the text information to be evaluated into the theme satisfaction list and updating the data in the theme satisfaction list.

[0087] In this embodiment, for the specific execution process of the update unit, reference may be made to the corresponding content in the above method embodiment, which will not be elaborated here.

[0088] Another embodiment of the present application also provides an electronic device, as Figure 3 shown, specifically including:

[0089] One or more processors 301.

[0090] A storage device 302, on which one or more programs are stored.

[0091] When one or more programs are executed by one or more processors 301, the one or more processors 301 are caused to implement any one of the methods in the above embodiments.

[0092] Another embodiment of the present application also provides a computer storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, it implements any one of the methods in the above embodiments.

[0093] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, it is described relatively simply. For the relevant parts, reference can be made to the partial description of the method embodiment. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0094] Those skilled in the art may further realize that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0095] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating user satisfaction, characterized in that, Including: Obtain the text information to be evaluated; wherein, the text information to be evaluated is the interaction information between the user and the customer service; Determine the interaction theme corresponding to the text information to be evaluated; Obtain the historical user satisfaction score corresponding to the interaction theme; The obtaining the historical user satisfaction score corresponding to the interaction theme includes: According to the interaction theme corresponding to the evaluation text information, find out the historical user satisfaction score corresponding to the interaction theme from the preset theme satisfaction list; wherein, the theme satisfaction list is constructed based on the historical data of the user satisfaction scores corresponding to each interaction theme; Divide the text information to be evaluated into rounds according to preset conditions to obtain the text information of one or more dialogue rounds; For the text information of each round, input the text information of the current round and the satisfaction score corresponding to the interaction theme into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; Wherein, the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data; Summarize the user satisfaction scores corresponding to the text information of each round to obtain the user satisfaction score corresponding to the text information to be evaluated; After the summarizing the user satisfaction scores corresponding to the text information of each round to obtain the user satisfaction score corresponding to the text information to be evaluated, it further includes: Input the satisfaction score corresponding to the text information to be evaluated into the theme satisfaction list to update the data in the theme satisfaction list.

2. The method according to claim 1, wherein Before the processing the text information of each round by inputting the text information of the current round and the satisfaction score corresponding to the interaction theme into the sentiment evaluation model to obtain the user satisfaction score corresponding to the text information of the current round, it further includes: Perform data preprocessing on the text information of each round.

3. An evaluation device for user satisfaction, which is used to execute an evaluation method for user satisfaction according to any one of claims 1-2, characterized in that Including: The first obtaining unit is used to obtain the text information to be evaluated; wherein, the text information to be evaluated is the interaction information between the user and the customer service; The determining unit is used to determine the interaction theme corresponding to the text information to be evaluated; The second obtaining unit is used to obtain the historical user satisfaction score corresponding to the interaction theme; The dividing unit is used to divide the text information to be evaluated into rounds according to preset conditions to obtain the text information of one or more dialogue rounds; The processing unit is used to, for the text information of each round, input the text information of the current round and the satisfaction score corresponding to the interaction theme into the sentiment evaluation model for processing to obtain the user satisfaction score corresponding to the text information of the current round; wherein, the sentiment evaluation model is a model obtained by training using historical text information and historical user satisfaction data; The summarizing unit is used to summarize the user satisfaction scores corresponding to the text information of each round to obtain the user satisfaction score corresponding to the text information to be evaluated.

4. The device according to claim 3, characterized in that The second obtaining unit includes: A search subunit, configured to search for a historical user satisfaction score corresponding to the interaction theme from a preset theme satisfaction list according to the interaction theme corresponding to the evaluation text information; wherein, the theme satisfaction list is constructed based on historical data of user satisfaction scores corresponding to each interaction theme.

5. The device according to claim 3, characterized in that, Further comprising: A data preprocessing unit, configured to perform data preprocessing on the text information of each round.

6. The device according to claim 4, characterized in that, Further comprising: An update unit, configured to input the satisfaction score corresponding to the text information to be evaluated into the theme satisfaction list and update the data in the theme satisfaction list.

7. An electronic device, characterized in that, Comprising: One or more processors; A storage device, on which one or more programs are stored; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 2.

8. A computer storage medium, characterized in that, On which a computer program is stored, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

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