Digital experience pushing system and method and storage medium

Abstract

The invention belongs to the technical field of digitization, and particularly relates to a digitization experience pushing system and method and a storage medium. Digitization experience data are stored through a storage module; then, a data acquisition module acquires problem data sent by a user side, and a data processing module analyzes and processes the problem data to acquire problem phenomena in the problem data; the matching module is used for matching the problem phenomenon in the problem data with the problem phenomenon of the digital empirical data in the storage module to generate a matching result; and finally, the pushing module is used for reading the matching result, pushing the corresponding digital empirical data to the user side if the matching result accords with a matching threshold value, and pushing the problem data to the processing side if the matching result does not accord with the matching threshold value. According to the method, the problems that records are difficult to retain and the searching and matching effect is poor in the digital practice process of an existing enterprise can be solved.

Description

Technical Field

[0001] The present invention belongs to the field of digital technologies, and particularly relates to a digital experience push system, method, and storage medium. Background Art

[0002] With the development of technologies, enterprises are gradually entering the process of digital transformation. During the digital transformation process, by developing digital technologies and support capabilities to establish a dynamic digital business model, it can help enterprises obtain more valuable business data, improve work efficiency and productivity, improve product and service quality, and improve resource management, etc.

[0003] In existing enterprise digital practices, communication and collaboration inside and outside the enterprise rely heavily on various common communication software, such as WeChat, DingTalk, etc. These tools greatly facilitate the instant transmission of information. At the same time, enterprises have also adopted some data management systems to store and manage business data, which to a certain extent meet the basic needs of daily operations.

[0004] However, the current technologies expose many problems in practical applications. First, in terms of record retention, when enterprise personnel change, such as both parties leaving the company, or there are operations such as inaccurate records, communication records are extremely easy to be lost; this leads to subsequent situations where if the enterprise encounters similar business problems and needs to refer to past communication situations to find solutions, but due to the lack of records, effective information cannot be obtained, seriously affecting the efficiency and accuracy of problem-solving. Second, in the search and matching of problem data, the accuracy of the existing search and matching mechanisms is not good; among the vast amounts of data accumulated by enterprises, there are a large number of potential experiences and knowledge that can be used to solve problems. However, due to the lack of intelligence in the search and matching algorithms, it is impossible to accurately screen out the most relevant content from the vast ocean of data, making it difficult for enterprises to fully explore and utilize these valuable data resources, restricting the depth and effect of enterprise digital transformation. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a digital experience push system, method, and storage medium to solve the problems of difficult record retention and poor search and matching effects in the existing enterprise digital practice process.

[0006] The basic solution provided by the present invention: A digital experience push system includes a user terminal, a processing terminal, and a server. The server includes a storage module, a data acquisition module, a data processing module, a matching module, and a push module;

[0007] The storage module is used to store digital experience data, and the digital experience data includes problem phenomena, problem causes, and problem measures;

[0008] The data acquisition module is used to acquire problem data sent by the user terminal;

[0009] The data processing module is used to analyze and process the problem data to obtain the problem phenomenon in the problem data;

[0010] The matching module is used to match the problem phenomenon in the problem data with the problem phenomenon of the digital experience data in the storage module to generate a matching result;

[0011] The pushing module is used to read the matching result. If the matching result meets the matching threshold, the corresponding digital experience data is pushed to the user side. If the matching result does not meet the matching threshold, the problem data is pushed to the processing side.

[0012] The principle and advantage of the present invention are as follows: The digital experience pushing system of the present application is built on the architecture of the user side, the processing side and the server. Each module in the server works together to achieve efficient processing and utilization of the problem data. The storage module undertakes the core data storage function. It stores data in the form of digitalized experience, covering problem phenomena, problem causes and problem solutions. When a user encounters a problem at the user side and sends the problem data, the data acquisition module quickly captures this information. The data processing module then analyzes the problem data and accurately extracts the problem phenomenon therein. The matching module compares and matches the extracted problem phenomenon with the problem phenomenon of the existing digital experience data in the storage module to generate a matching result. The pushing module makes a decision based on the matching result and the preset matching threshold. If the matching result meets the threshold, the corresponding digital experience data is pushed to the user side to help the user solve the problem; if not, the problem data is transferred to the processing side for further processing.

[0013] Therefore, the advantages of the present application are as follows:

[0014] 1. Adopt a unique digital experience structure to store data, and record problem phenomena, causes and solutions in detail, avoiding the situation of record loss caused by personnel changes or operation errors. Whenever and wherever the data is stored in the system, it can be called at any time;

[0015] 2. The storage and matching methods of splitting and analyzing according to the digital experience structure make the search structure and the matching structure extremely clear. When searching and matching similar problem data, the system can accurately analyze according to the clear structure, greatly improving the accuracy of search and matching, helping enterprises quickly find the most relevant solutions from a large amount of data, and improving the problem-solving efficiency.

[0016] Further, the data processing module includes a problem phenomenon analysis unit, and the problem phenomenon analysis unit is used to extract labels from the obtained problem data according to a preset extraction method to generate a problem phenomenon;

[0017] The matching module includes a problem phenomenon matching unit and a comparison unit. The problem phenomenon matching unit matches the problem phenomenon generated by the problem phenomenon analysis unit with the problem phenomenon of the digital experience data stored in the storage module to generate a problem phenomenon matching result;

[0018] The comparison unit is used to compare the problem phenomenon matching result according to a preset matching threshold to generate a problem phenomenon comparison result, and transmit it to the push module to perform user-side push or processing-side push.

[0019] Beneficial effects: By accurately extracting problem data tags through the problem phenomenon analysis unit, and with the collaborative work of the problem phenomenon matching unit and the comparison unit, efficient and accurate matching and reasonable push decisions are achieved, greatly improving the data processing efficiency and quality, providing more targeted, relevant and practical services for users, and helping enterprises solve problems and utilize data resources more efficiently.

[0020] Further, the processing end is used to obtain the problem cause analysis content of the problem data pushed by the push module by the problem handler, and extract cause tags;

[0021] The matching module further includes a problem cause matching unit, which is used to match the cause tags with the problem causes of the digital experience data in the storage module to generate a problem cause matching result;

[0022] The comparison unit is also used to compare the problem cause matching result with a preset matching threshold to generate a problem cause comparison result;

[0023] The push module is also used to push the problem cause comparison result to the processing end.

[0024] Beneficial effects: By deeply exploring problem causes, accurately matching experience data, and strengthening information flow between modules, the enterprise's problem handling ability is comprehensively improved. Not only can problem analysis be more thorough and matching results be more accurate, but also the processing end can make efficient decisions, maximizing the value of data, helping enterprises solve complex problems more efficiently, and promoting business development.

[0025] Further, the push module includes a push screening unit, which is used to screen the first N pieces of digital experience data below the matching threshold when the problem phenomenon matching result in the problem phenomenon comparison result does not meet the matching threshold to generate a problem phenomenon screening result;

[0026] The push module is also used to push the problem phenomenon screening result to the processing end.

[0027] Beneficial effects: Based on the original system architecture and functions, the newly added push and screening unit greatly optimizes the data processing and problem-solving processes. When the matching result of the problem phenomenon does not meet the matching threshold, this unit can quickly select the top N pieces from the digital experience data below the matching threshold for screening, generate the screening result of the problem phenomenon, and push it to the processing end. This function not only avoids the waste of data resources due to poor matching results but also provides more targeted reference data for the processing end, helping the processing personnel to deeply analyze the problem based on the screened relevant experience data when there is no precise matching solution. At the same time, working in coordination with other modules, it further improves the entire process of the system from data acquisition, analysis, matching to pushing, enhances the system's ability to handle complex problems, and strengthens the practicality and flexibility of the system in dealing with diverse problem scenarios during the enterprise digital transformation process, effectively assisting the enterprise to solve actual business problems more efficiently.

[0028] Further, the push and screening unit is also used to select the top N pieces from the digital experience data below the matching threshold for screening when the matching result of the problem cause in the comparison result of the problem cause does not meet the matching threshold, and generate the screening result of the problem cause;

[0029] The push module is also used to push the screening result of the problem cause to the processing end.

[0030] Beneficial effects: Under the original system framework, through the multi-dimensional analysis and processing of problem data, a comprehensive and intelligent digital experience push system is constructed. When the matching result of the problem phenomenon or the problem cause does not meet the threshold, the push and screening unit can timely select the top N pieces from the digital experience data below the threshold for screening, generate the corresponding screening result, and push it to the processing end. This measure not only enriches the screening dimension and makes data utilization more targeted but also further optimizes the problem-solving process. Based on these screening results, the processing end can carry out problem processing work more efficiently. Even when there is no precise matching solution, it can conduct in-depth analysis with the help of the screened relevant experience data. All modules of the entire system cooperate with each other, forming an organic whole from data acquisition, analysis, matching to pushing, greatly enhancing the system's ability to handle complex problems, strengthening the practicality and flexibility of the system in dealing with diverse problem scenarios during the enterprise digital transformation, and providing strong support for the enterprise to efficiently solve actual business problems.

[0031] Further, the processing end is also used to receive the result of the problem data processing by the problem handler and transmit it to the server, and the server feeds it back to the user end.

[0032] Beneficial effects: For the problem data without recommended matching, it is processed by the problem handler and transmitted to the user end through the server, thereby solving the new problem data.

[0033] A digital experience push method, applied to the above-mentioned digital experience push system, includes:

[0034] S1: Obtain the problem data of the user side, analyze and process the problem data, and obtain the problem phenomenon in the problem data;

[0035] S2: Store digital experience data, where the digital experience data includes problem phenomena, problem causes, and problem measures;

[0036] S3: Match the problem phenomenon in the problem data with the problem phenomenon in the digital experience data to generate a matching result;

[0037] S4: Read the matching result. If the matching result meets the matching threshold, push the corresponding digital experience data to the user side. If the matching result does not meet the matching threshold, push the problem data to the processing side;

[0038] S5: Obtain the processing result of the problem data by the problem handler through the processing side and feedback it to the user side.

[0039] A computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute the above-mentioned digital experience push method. Description of the Drawings

[0040] Figure 1 It is a functional block diagram of an embodiment of the present invention;

[0041] Figure 2 It is a logical judgment block diagram of an embodiment of the present invention;

[0042] Figure 3 It is a flowchart of an embodiment of the present invention. Detailed Description of the Embodiment

[0043] The following is further detailed through specific embodiments:

[0044] The embodiment is basically as shown in the attached Figure 1 and Figure 2As shown: A digital experience push system includes a user terminal, a processing terminal, and a server. Among them, both the user terminal and the processing terminal are connected through the server. The user terminal is used to receive the problem requirements initiated by the problem initiator and transmit them to the server. In this embodiment, the ways for the problem initiator to initiate problem requirements to the user terminal include, but are not limited to, voice, input method, handwriting, etc. After receiving the problem requirements, the user terminal transmits them to the management terminal, and in the management terminal, the problem requirements transmitted by the user terminal are recorded and displayed through multiple input box modules. Specifically, the input box modules include, but are not limited to, a feature label box, a problem description box, a picture display box, a sponsor information box, a sending end comment box, a sending time box, a feedback time box, and an expected completion time box. Each input box module is generated by an automatic analysis method. Specifically, the server processes the received problem requirements using a multi-dimensional recording method, including extracting semantic problem requirement feature labels as the selection floating box of the feature label box, recording problem requirement information in text and pictures as the selection floating box of the problem description box and the picture display box, and obtaining the personal information of the user terminal and the system time to generate the selection floating box of the sponsor information box, the sending end comment box, the sending time box, the feedback time box, and the expected completion time box. Through the selection floating box, the problem initiator can perform independent screening and combination through the connection between the user terminal and the server until complete problem data is generated.

[0045] The server includes a storage module, a data acquisition module, a data processing module, a matching module, and a push module; specifically:

[0046] The storage module is used to store digital experience data, and the digital experience data includes problem phenomena, problem causes, and problem measures; in this embodiment, the digital experience data is the result generated after digitizing historical problem data that has been solved. For the generation process of problem phenomena:

[0047] First, content extraction is performed on the problem data input by the problem initiator transmitted by the user terminal to obtain the problem content, and then semantic feature description is performed on the problem content to obtain the problem phenomenon;

[0048] Then, for the problem cause, the problem analyst analyzes the problem phenomenon. For example, by referring to the feature label content, problem description content, relevant picture and video content, etc. of the problem phenomenon, the cause of the problem phenomenon can be known, and corresponding cause labels and cause content are generated according to the analysis results. At the same time, by presetting the importance of labels, the importance level is set for each cause label, such as urgent, routine, general, etc., so as to mark the cause labels. After the marked cause labels are integrated with the cause content, the problem cause content analyzed by the problem analyst for the problem phenomenon can be obtained;

[0049] For problem measures, after the problem analyst analyzes the causes of the problem phenomenon, it is transmitted to the problem handler, who then operates on the rectification method of the problem phenomenon. Specifically, for different problem phenomena, in addition to online solutions, it also includes offline practical solutions. For example, for communication problems in a project, a communication channel is established by the problem handler through the method of creating a group chat, and the problem phenomenon is solved in the group chat. This belongs to the online solution method; for example, for the rectification of equipment problems, it is necessary to arrange and allocate operators to carry out offline equipment problem rectification, and the operators upload information such as rectification progress, rectification time, and rectification content, which is the offline practical solution. These rectification methods can generate the problem measures described in this application through recording, association, and integration, and are displayed attached to the corresponding problem phenomenon and problem cause. That is, under one problem phenomenon, it includes the corresponding content of the problem cause and problem measures.

[0050] Therefore, in the storage module, the historical problem data stored is stored using the structured features of problem phenomenon, problem cause, and problem measures. This method, on the one hand, details the recording of problem phenomena, causes, and measures, avoiding the situation of record loss due to personnel changes or operation errors. Whenever and wherever the data is stored in the system, it can be called at any time; on the other hand, it provides a good foundation for subsequent search and matching.

[0051] The data acquisition module is used to acquire the problem data sent by the user terminal. In this embodiment, whether it is historical problem data or the latest current real-time problem data, it can be acquired through the data acquisition module.

[0052] The data processing module is used to analyze and process the problem data to obtain the problem phenomenon in the problem data. In this embodiment, the data processing module includes a problem phenomenon analysis unit, and the problem phenomenon analysis unit is used to extract tags from the acquired problem data according to a preset extraction method to generate a problem phenomenon; specifically, this application uses the form of an input box to extract the information of the problem data to obtain the problem content, where the input box includes a multi-dimensional recording method of a feature label box, a problem description box, a picture display box, a sponsor information box, an initiating end annotation box, an initiating time box, a feedback time box, and an expected completion time box, and each input box module can be input by the user.

[0053] The matching module is used to match the problem phenomenon in the problem data with the problem phenomenon of the digital experience data in the storage module to generate a matching result; the matching module includes a problem phenomenon matching unit and a comparison unit. The problem phenomenon matching unit matches the problem phenomenon generated by the problem phenomenon analysis unit with the problem phenomenon of the digital experience data stored in the storage module to generate a problem phenomenon matching result;

[0054] The comparison unit is used to compare the problem phenomenon matching result according to a preset matching threshold, generate a problem phenomenon comparison result, and transmit it to the push module to perform user-side push or processing-side push.

[0055] In this embodiment, the generated problem phenomenon is transmitted to the problem phenomenon matching unit in the matching module. The problem phenomenon matching unit matches the received problem phenomenon with the problem phenomena of the digital experience data stored in the storage module one by one, such as keyword matching, semantic similarity matching, etc., so as to find the digital experience data similar to the problem phenomenon and generate a problem phenomenon matching result.

[0056] Subsequently, the problem phenomenon matching result is transmitted to the comparison unit. In the comparison unit, a preset matching threshold is set. For example, the preset similarity reaching 80% is used as the matching threshold. The problem phenomenon matching result is compared with it. If the similarity in the matching result is higher than or equal to the matching threshold, it indicates that a more accurate matching solution has been found. The comparison unit generates a corresponding problem phenomenon comparison result and transmits it to the push module. The push module pushes the corresponding digital experience to the user side. For the similarity in the matching result that is lower than the preset matching threshold, it indicates that there is no digital experience data similar to the problem phenomenon in the currently stored digital experience data. Then the push module pushes it to the processing side according to this result.

[0057] For the processing side, it is used to obtain the problem cause analysis content of the problem data pushed by the push module by the problem handler, and extract the cause tags. The matching module also includes a problem cause matching unit, which is used to match the cause tags with the problem causes of the digital experience data in the storage module to generate a problem cause matching result. The comparison unit is also used to compare the problem cause matching result with a preset matching threshold to generate a problem cause comparison result. The push module is also used to push the problem cause comparison result to the processing side.

[0058] In this embodiment, after the push module pushes the problem data that does not meet the matching threshold to the processing side, the problem handler analyzes these problem data, and then the processing side receives the analysis content of the problem handler and extracts the key cause tags from the analysis content.

[0059] The extracted problem tags are transmitted to the problem cause matching unit of the matching module. The problem cause matching unit matches these cause tags with the problem causes of the digital experience data in the storage module. The matching method can adopt association matching based on a knowledge graph in this embodiment, so as to obtain a problem cause matching result.

[0060] Finally, the matching result of the problem cause is transmitted to the comparison unit, and the comparison unit compares the matching result of the problem cause with it according to a preset matching threshold. If it is higher than the preset matching threshold, for example, 70%, it indicates that relevant empirical data has been found, and it is transmitted to the push module to be pushed back to the processing end. At this time, the problem handler further optimizes the problem solution according to the comparison result, which greatly improves the processing efficiency of the problem handler.

[0061] If the relevance of the matching result of the problem cause is lower than the preset matching threshold, it means that there is no relevant empirical data in the storage module. At this time, the result is pushed back to the processing end for the handler to process by himself.

[0062] In the push module, there is a push screening unit. The push screening unit is used to screen the first N pieces of digital empirical data that are lower than the matching threshold when the matching result of the problem phenomenon does not meet the matching threshold in the comparison result of the problem phenomenon, and generate a screening result of the problem phenomenon; the push module is also used to push the screening result of the problem phenomenon to the processing end; in this embodiment, when the comparison result of the problem phenomenon does not meet the requirements, although the digital empirical data in the storage module does not match the problem data, it does not mean that the digital empirical data is completely unusable. In this solution, the push screening unit screens according to the first few matching results, for example, takes the first 10 pieces of digital empirical data with the highest matching similarity as the screening result, and the screening result is transmitted to the processing end, and the problem handler at the processing end uses the screening result as a reference for problem processing, which greatly improves the processing efficiency.

[0063] Similarly, the push screening unit is also used to screen the first N pieces of digital empirical data that are lower than the matching threshold when the matching result of the problem cause does not meet the matching threshold in the comparison result of the problem cause, and generate a screening result of the problem cause; the push module is also used to push the screening result of the problem cause to the processing end.

[0064] Finally, the processing end also receives the result of the problem handler's processing of the problem data and transmits it to the server, and the server feeds it back to the user end to solve the problem data of the problem initiator.

[0065] As Figure 3 shown, in another embodiment of this embodiment, there is also a digital experience push method, which is applied to the above digital experience push system, and includes:

[0066] S1: Obtain the problem data of the user end, analyze and process the problem data, and obtain the problem phenomenon in the problem data;

[0067] S2: Store digital empirical data, where the digital empirical data includes problem phenomena, problem causes, and problem measures;

[0068] S3: Match the problem phenomena in the problem data with those in the digital experience data to generate a matching result;

[0069] S4: Read the matching result. If the matching result meets the matching threshold, push the corresponding digital experience data to the user side. If the matching result does not meet the matching threshold, push the problem data to the processing side.

[0070] S5: Obtain the processing result of the problem data by the problem handler through the processing side and feedback it to the user side.

[0071] In another embodiment of this embodiment, there is also provided a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are run by a processor, the processor is caused to execute the steps of a digital experience pushing method provided in any embodiment of the present invention.

[0072] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable 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 above.

[0073] The above are only embodiments of the present invention. Common general knowledge such as specific structures and characteristics in the solutions is not described in detail here. Those of ordinary skill in the art know all the common general knowledge in the technical field to which the invention belongs before the filing date or the priority date, can know all the existing technologies in this field, and have the ability to apply conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, complete and implement this solution in combination with their own abilities. Some typical well-known structures or well-known methods should not be an obstacle for those of ordinary skill in the art to implement this application. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be subject to the content of its claims, and the specific implementation manners and the like recorded in the specification can be used to interpret the content of the claims.

Claims

1. A digital experience push system, characterized by: It includes a user end, a processing end and a server, wherein the server includes a storage module, a data acquisition module, a data processing module, a matching module and a push module; The storage module is used to store digital experience data, and the digital experience data includes problem phenomena, problem causes and problem measures; The data acquisition module is used to acquire the problem data sent by the user end; The data processing module is used to analyze and process the problem data to obtain the problem phenomena in the problem data; The matching module is used to match the problem phenomenon in the problem data with the problem phenomenon in the digitized experience data in the storage module to generate a matching result; The push module is used to read the matching result. If the matching result meets the matching threshold, the corresponding digital experience data is pushed to the user end. If the matching result does not meet the matching threshold, the problem data is pushed to the processing end.

2. A digital experience push system according to claim 1, characterized in that: The data processing module includes a problem phenomenon analysis unit, which is used to extract labels from the acquired problem data according to a preset extraction method to generate problem phenomena; The matching module includes a problem phenomenon matching unit and a comparison unit, wherein the problem phenomenon matching unit matches the problem phenomenon generated by the problem phenomenon analysis unit with the problem phenomenon of the digital experience data stored in the storage module to generate a problem phenomenon matching result; The comparison unit is used to compare the problem phenomenon matching result according to a preset matching threshold, generate the problem phenomenon comparison result, and transmit it to the push module to execute user-side push or processing-side push.

3. A digital experience push system according to claim 2, characterized in that: The processing end is used to obtain the problem cause analysis content performed by the problem handler on the problem data pushed by the push module, and extract the cause label; The matching module further comprises a problem cause matching unit, which is used to match the problem cause of the digital experience data in the storage module according to the cause label to generate a problem cause matching result; The comparison unit is further used to compare the problem cause matching result with a preset matching threshold to generate a problem cause comparison result; The push module is also used to push the problem cause comparison result to the processing end.

4. A digital experience push system according to claim 3, characterized in that: The push module includes a push screening unit, which is used to screen the top N digital experience data below the matching threshold in the problem phenomenon comparison result when the problem phenomenon matching result does not meet the matching threshold, and generate the problem phenomenon screening result; The push module is also used to push the problem phenomenon screening results to the processing end.

5. A digital experience push system according to claim 4, characterized in that: The push screening unit is also used to screen the first N pieces of digital experience data below the matching threshold in the problem cause comparison result to generate a problem cause screening result when the problem cause matching result does not meet the matching threshold; The push module is also used to push the problem cause screening result to the processing end.

6. A digital experience push system according to claim 5, characterized in that: The processing end is also used to receive the result of the problem data processing by the problem handler and transmit it to the server, and the server feeds back to the user end.

7. A digital experience push method, applied to a digital experience push system according to any one of claims 1 to 6, characterized in that: include: S1: Obtain problem data from the user end, analyze and process the problem data, and obtain the problem phenomenon in the problem data; S2: storing digital experience data, wherein the digital experience data includes problem phenomena, problem causes and problem measures; S3: Match the problem phenomenon in the problem data with the problem phenomenon in the digital experience data to generate a matching result; S4: Read the matching result. If the matching result meets the matching threshold, the corresponding digital experience data is pushed to the user end. If the matching result does not meet the matching threshold, the problem data is pushed to the processing end. S5: The processing result of the problem data by the problem handler is obtained through the processing end, and fed back to the user end.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores programs or instructions, and the programs or instructions enable a computer to execute a digital experience push method as described in claim 7.

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