Service item optimization method, device, electronic device, medium and program product

Abstract

The present disclosure provides a service item optimization method, device, electronic device, medium and computer program product based on an optimization model. The above method and device can be used in the field of big data technology. The service item optimization method based on the optimization model includes: obtaining m item information; giving n items of each item information according to a scoring rule. e Score each item guide separately and get n e A score service guide; e The score service guidelines are compared with the standard threshold respectively, and the score service guidelines that meet the standard threshold are used as the standard item service guidelines; the target item is obtained; the target item guide is scored according to the scoring rules to obtain the target score guide; the target item name is matched with the item name of the m item information; when the item name is matched, the target score guide is compared with the standard item service guide under the item information corresponding to the matched item name to obtain the comparison result; and the optimization plan for the target item is recommended based on the comparison result.

Description

Technical Field

[0001] The present disclosure relates to the field of big data technology, and more specifically, to a service item optimization method, device, electronic device, medium and computer program product based on an optimization model. Background Art

[0002] At present, according to national policy requirements, local competent departments need to continuously promote the optimization of government services within their jurisdiction (specifically including: reducing the number of trips to get things done, reducing processing time, reducing material requirements, and reducing processing procedures). However, due to the large number of government service items across the country, and the fact that the service guidelines and information structure of government service items in each province, city, district and county vary greatly, there is currently a lack of a technical method that can quickly compare items with different names (that is, the same service item has different names) across the country for a single item to be optimized, and determine whether there is room for optimization, as well as specific optimization suggestions. Summary of the invention

[0003] In view of this, the present disclosure provides a fast, efficient, and resource-saving service item optimization method, device, electronic device, computer-readable storage medium, and computer program product based on an optimization model.

[0004] One aspect of the present disclosure provides a service item optimization method based on an optimization model, comprising: obtaining m item information as a first parameter of the optimization model, wherein each item information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m; setting a scoring rule as the second parameter of the optimization model; giving n to each item information according to the scoring rule e Score each of the service guidelines for the items mentioned, and get n e A score service guide; setting a standard threshold as the third parameter of the optimization model; n e The score service guidelines are compared with the standard threshold value respectively, and the score service guidelines that meet the standard threshold value are used as the standard item service guidelines; a target item is obtained as the input of the optimization model, wherein the target item includes a target item name and a target item guide; the target item guide is scored according to the scoring rule to obtain a target score guide; the target item name is matched with the item names of the m item information; when the item name is matched, the target score guide is compared with the standard item service guidelines under the item information corresponding to the matched item name to obtain a comparison result; and an optimization plan for the target item is recommended as the output of the optimization model according to the comparison result.

[0005] According to the service item optimization method based on the optimization model of the embodiment of the present disclosure, by acquiring m item information and matching the target item with the item name of the m item information, items similar to the target item can be matched quickly, accurately and efficiently from a large number of item information data; by comparing the target item guide with the standard item service guide for items similar to the target item, item optimization suggestions are made based on the comparison results, which can save manpower and material resources and improve work efficiency.

[0006] In some embodiments, each of the items of service guide includes g i Item service elements, g i is an integer greater than or equal to 1, i is greater than or equal to 1 and less than or equal to n e An integer; n is given to each item information according to the scoring rule e Score each of the service guidelines for the items mentioned, and get n e The score service guide includes: giving the score of each service guide of the matter according to the scoring rule. i Score each item's service element separately until n e All the service guidelines for the items mentioned above are scored and completed, and n e A score service guide.

[0007] In some embodiments, the g i The service elements of each matter include at least one of the completion time limit, type of matter, number of trips, online processing level and number of copies of materials.

[0008] In some embodiments, the target matter guide includes r target service elements, r is an integer greater than or equal to 1, and scoring the target matter guide according to the scoring rule to obtain the target score guide includes: scoring the r target service elements separately according to the scoring rule to obtain the target score guide.

[0009] In some embodiments, when the item name is matched, the r target service elements of the target item guide are matched with the g target service elements of the matched standard item service guide. i The service elements of the items are the same, and the target score guide is compared with the standard item service guide under the item information corresponding to the matched item name to obtain the comparison result, including: comparing the score of each target service element with the score of the corresponding item service element to obtain r comparison results.

[0010] In some embodiments, recommending an optimization solution for the target item based on the comparison result as the output of the optimization model includes: based on each of the comparison results, recommending an optimization solution for the corresponding target service element as the output of the optimization model.

[0011] Another aspect of the present disclosure provides a service item optimization device based on an optimization model, comprising: a first acquisition module, the first acquisition module is used to execute acquisition of m item information as a first parameter of the optimization model, wherein each item information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m; a first setting module, the first setting module is used to execute the setting of the scoring rule as the second parameter of the optimization model; a first scoring module, the first scoring module is used to execute the scoring rule for each item information e Score each of the service guidelines for the items mentioned, and get n e a score service guide; a second setting module, the second setting module is used to execute setting a standard threshold as a third parameter of the optimization model; a first comparison module, the first comparison module is used to execute n e The score service guidelines are compared with the standard threshold value respectively, and the score service guidelines that meet the standard threshold value are used as standard item service guidelines; a second acquisition module, the second acquisition module is used to execute acquisition of target items as input of the optimization model, wherein the target items include target item names and target item guidelines; a second scoring module, the second scoring module is used to score the target item guidelines according to the scoring rules to obtain target score guidelines; a matching module, the matching module is used to match the target item name with the item names of m item information; a second comparison module, the second comparison module is used to compare the target score guidelines with the standard item service guidelines under the item information corresponding to the matched item name when the item name is matched to obtain a comparison result; and a recommendation module, the recommendation module is used to recommend an optimization plan for the target item according to the comparison result as output of the optimization model.

[0012] According to the service item optimization device based on the optimization model of the embodiment of the present disclosure, by acquiring m item information and matching the target item with the item name of the m item information, items similar to the target item can be matched quickly, accurately and efficiently from a large number of item information data; by comparing the target item guide with the standard item service guide of the same type of items as the target item, item optimization suggestions are put forward according to the comparison results, which can save manpower and material resources and improve work efficiency.

[0013] Another aspect of the present disclosure provides an electronic device, comprising one or more processors and one or more memories, wherein the memories are used to store executable instructions, and when the executable instructions are executed by the processors, the above-mentioned method is implemented.

[0014] According to the electronic device of the embodiment of the present disclosure, by acquiring m items of item information and matching the target item with the item names of the m items of item information, it is possible to quickly, accurately and efficiently match items similar to the target item from a large number of item information data; by comparing the target item guide with the standard item service guide for items similar to the target item, item optimization suggestions are made based on the comparison results, which can save manpower and material resources and improve work efficiency.

[0015] Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the above method when executed.

[0016] According to the computer-readable storage medium of the embodiment of the present disclosure, by acquiring m items of item information and matching the target item with the item names of the m items of item information, items similar to the target item can be matched quickly, accurately and efficiently from a large number of item information data; by comparing the target item guide with the standard item service guide for items similar to the target item, item optimization suggestions can be made based on the comparison results, which can save manpower and material resources and improve work efficiency.

[0017] Another aspect of the present disclosure provides a computer program product, comprising a computer program, wherein the computer program comprises computer executable instructions, and the instructions are used to implement the method as described above when executed.

[0018] According to the computer program product of the embodiment of the present disclosure, by acquiring m items of item information and matching the target item with the item names of the m items of item information, items similar to the target item can be matched quickly, accurately and efficiently from a large number of item information data; by comparing the target item guide with the standard item service guide for items similar to the target item, item optimization suggestions are made based on the comparison results, which can save manpower and material resources and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0020] Figure 1 An exemplary system architecture to which the method and apparatus according to an embodiment of the present disclosure can be applied is schematically shown;

[0021] Figure 2A flowchart of a service item optimization method based on an optimization model according to an embodiment of the present disclosure is schematically shown;

[0022] Figure 3 Schematically shows the number of items of information given to each item according to the scoring rule according to an embodiment of the present disclosure. e Score each item guide separately and get n e A flowchart of the service guide for each score;

[0023] Figure 4 Schematically shows a flow chart of scoring a target matter guide according to a scoring rule to obtain a target score guide according to an embodiment of the present disclosure;

[0024] Figure 5 A flowchart schematically illustrates a method of comparing the target score guide with the standard matter handling guide under the matter information corresponding to the matched matter name to obtain the comparison result according to an embodiment of the present disclosure;

[0025] Figure 6 A flowchart schematically illustrates an optimization scheme for recommending target items according to comparison results according to an embodiment of the present disclosure;

[0026] Figure 7 A block diagram of a service item optimization device based on an optimization model according to an embodiment of the present disclosure is schematically shown;

[0027] Figure 8 A block diagram of an electronic device according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0028] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0029] In the technical solution of this disclosure, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations, necessary confidentiality measures are taken, and they do not violate public order and good morals. In the technical solution of this disclosure, the acquisition, collection, storage, use, processing, transmission, provision, disclosure and application of data are in compliance with the provisions of relevant laws and regulations, necessary confidentiality measures are taken, and they do not violate public order and good morals.

[0030] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0031] When using expressions such as "at least one of A, B or C, etc.", it should generally be interpreted in accordance with the meaning of the expression generally understood by those skilled in the art (for example, "a system having at least one of A, B or C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.). The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, features defined as "first" and "second" may explicitly or implicitly include one or more of the said features.

[0032] At present, according to national policy requirements, local competent departments need to continuously promote the optimization of government services within their jurisdiction (specifically including: reducing the number of trips to get things done, reducing processing time, reducing material requirements, and reducing processing procedures). However, due to the large number of government service items across the country, and the fact that the service guidelines and information structure of government service items in each province, city, district and county vary greatly, there is currently a lack of a technical method that can quickly compare items with different names (that is, the same service item has different names) across the country for a single item to be optimized, and determine whether there is room for optimization, as well as specific optimization suggestions.

[0033] If you want to determine whether there is room for optimization in a certain government matter, you can only use manual methods at present, conduct fuzzy matching searches on the matter lists of the government service networks of various provinces across the country, and then manually determine whether it is the same matter. Then manually look at the matter service guide to determine whether it is a more optimized matter. This consumes a lot of manpower and material resources and is very inefficient.

[0034] The embodiments of the present disclosure provide a service item optimization method, device, electronic device, computer-readable storage medium and computer program product based on an optimization model. The service item optimization method based on an optimization model includes: obtaining m item information, wherein each item information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m; according to the scoring rules, n is given to each item of information. e Score each item guide separately and get n e A score service guide;e The score service guides are compared with the standard threshold respectively, and the score service guide with the smallest difference with the standard threshold score is used as the standard service guide; the target item is obtained, wherein the target item includes the target item name and the target item guide; the target item guide is scored according to the scoring rules to obtain the target score guide; the target item name is compared with the n items of each item information e When a matter name is matched, the target score guide is compared with the standard matter service guide corresponding to the matched matter name to obtain a comparison result; and an optimization plan for the target matter is recommended based on the comparison result.

[0035] It should be noted that the service item optimization method, device, electronic device, computer-readable storage medium and computer program product based on the optimization model disclosed in the present invention can be used in the field of big data technology, and can also be used in any field other than the field of big data technology, such as the financial field. The field of the present invention is not limited here.

[0036] Figure 1 The exemplary system architecture 100 to which the optimization model-based service item optimization method, device, electronic device, computer-readable storage medium, and computer program product can be applied according to an embodiment of the present disclosure is schematically shown. It should be noted that: Figure 1 What is shown is merely an example of a system architecture to which the embodiments of the present disclosure can be applied, in order to help those skilled in the art understand the technical content of the present disclosure, but it does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0037] like Figure 1 As shown, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0038] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).

[0039] The terminal devices 101 , 102 , and 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0040] The server 105 may be a server that provides various services, such as a background management server (only an example) that provides support for websites browsed by users using the terminal devices 101, 102, and 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0041] It should be noted that the service item optimization method based on the optimization model provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the service item optimization device based on the optimization model provided in the embodiment of the present disclosure can generally be set in the server 105. The service item optimization method based on the optimization model provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Accordingly, the service item optimization device based on the optimization model provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105.

[0042] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0043] The following will be based on Figure 1 The scene described by Figure 2 to Figure 6 The service item optimization method based on the optimization model in the embodiment of the present disclosure is described in detail.

[0044] Figure 2 The flowchart of the service item optimization method based on the optimization model according to the embodiment of the present disclosure is schematically shown.

[0045] like Figure 2 As shown, the service item optimization method based on the optimization model of this embodiment includes operations S210 to S280.

[0046] In operation S210, m items of information are obtained as the first parameter of the optimization model, wherein each item of information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n eis an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m. It should be noted that the matter information can be the handling matters of the event, such as the handling of identity cards, the approval of the establishment of technical schools, the approval of the establishment, change, and cancellation of the license of law firms, and the approval of taxi operating licenses, etc.; the matter handling guide can be the guiding suggestions for handling matters, such as the time limit for completion, the type of handling, the number of trips, the level of online handling, and the number of copies of materials, etc.

[0047] As some specific examples, the completion time limit can be 1 day, 2 days, 3 days, 4 days, etc., but is not limited to this; the case types can be immediate cases and promised cases, but are not limited to this. Immediate cases are events that can be handled immediately, and promised cases are events that need to wait for processing; the number of runs can be 1 time, 2 times, 3 times, 4 times, etc., but is not limited to this.

[0048] Among them, the online handling level can be Level I, Level II, Level III, Level IV, etc., but it is not limited to this. Level I can be understood as the information release of the handling matter, that is, the matter can provide detailed and specific service guidance, online consultation and complaint channels, but it cannot be handled online and needs to be submitted on-site. Level II can be understood as the handling matter has realized the online pre-examination of application materials. Applicants can submit and correct relevant application information and materials through the Internet. The review agency will pre-examine the submitted materials on the platform. After the pre-examination is passed, the applicant still needs to bring the original materials to the site for submission. After the approval decision is made, the applicant can come to the site to receive the results, or choose to deliver the approval results by logistics delivery. The entire handling process should be on-site no more than 2 times.

[0049] Level III can be understood as the online verification of application materials for this matter. Applicants can submit and correct relevant application information and materials through the Internet. If the materials meet the requirements, they will directly enter the processing procedures. Applicants can check the processing status and consult questions online. After the approval decision is made, the applicant needs to verify the original materials on site and receive the approval results after paying the fees. The entire service process should be conducted at the hall no more than once. Level IV can be understood as the entire process of this matter has been handled online. Applicants can submit and correct relevant application information and materials through the Internet. The approval agency will verify the submitted materials online. After acceptance, they will directly enter the processing procedures. Applicants can check the processing status and consult questions online. After the approval decision is made, the applicant can pay online and have the approval results delivered by logistics. The entire service process does not require on-site processing.

[0050] Here, we take the four items of information, namely, the application for identity card, the approval for the establishment of technical schools, the approval for the establishment, change and cancellation of law firms and the approval for the operation of taxis, as examples. That is, m is 4, and the above four items of information can be obtained. Among them, due to the differences in culture and language in various administrative regions across the country, each item of information is called differently. In other words, for different administrative regions, one item of information can include multiple item names, and each item of information can include n items. e It is understood that for the information on handling ID cards, some regions call it applying for ID cards, some regions call it applying for ID cards, and some regions call it issuing ID cards. Therefore, there are three item names under the information on handling ID cards, that is, n e The value is 3. For each region's affairs to be handled, that is, for each item name in the matter information, there is a corresponding local affairs handling guide.

[0051] In operation S220, a scoring rule is set as a second parameter of the optimization model.

[0052] In operation S230, the scoring rules are used to assign a score to each item information. e Score each item guide separately and get n e It is understood that each item of information includes n e Each item name has a corresponding item handling guide, so each item can include n items. e There are service guides for each matter, among which, after scoring the service guide for each matter, you can get the corresponding score service guide.

[0053] As a possible implementation approach, each issue guide includes g i Item service elements, g i is an integer greater than or equal to 1, i is greater than or equal to 1 and less than or equal to n e For example, the information on handling an ID card includes three item names, corresponding to three item service guidelines. Each item service guide has one or more item service elements. The number of item service elements in each item service guide can be the same or different. In other words, the number of item service elements in the three item service guidelines corresponding to handling an ID card can be g1, g2, and g3, respectively. According to actual conditions, g1 can be any integer greater than or equal to 1, g2 can be any integer greater than or equal to 1, and g3 can be any integer greater than or equal to 1.

[0054] like Figure 3 As shown, operation S230 gives n of each item information according to the scoring rule. e Score each item guide separately and get ne The score service guide includes operation S231.

[0055] In operation S231, the g of each matter handling guide is given according to the scoring rules. i Score each item's service element separately until n e All the service guidelines for each item have been scored and completed, and n e A score service guide.

[0056] Furthermore, g i The service elements of each matter may include at least one of the completion time limit, type of matter, number of trips, online processing level and number of copies of materials, but are not limited to these.

[0057] As some specific examples, the scoring rules can be understood as shown in Table 1.

[0058] Table 1

[0059]

[0060] The scoring rules in Table 1 can be used to provide a guide for each item. i Score each service element of each item and get the corresponding score service guide. e After all the service guidelines for each item are scored, we get n e Thus, operation S221 can be used to easily implement the scoring rules for each item information. e Score each item guide separately and get n e A score service guide.

[0061] In operation S240, a standard threshold is set as a third parameter of the optimization model.

[0062] In operation S250, n e Each score service guide is compared with the standard threshold, and the score service guide that meets the standard threshold is used as the standard service guide. It is understandable that a standard threshold can be set. Continuing with the example of applying for an ID card, assuming that the standard threshold is set to 40 points, a score greater than 40 points is considered to meet the standard threshold. Of course, a score less than 40 points can also be considered to meet the standard threshold. How to define the standard threshold can be determined according to the specific situation, and there are no excessive restrictions here.

[0063] In this example, a score greater than 40 is used as the threshold for meeting the standard. Assuming that the service guide corresponding to the name "Applying for an ID card" has a score of 20 points after operation S221, the service guide corresponding to the name "Applying for an ID card" has a score of 30 points after operation S221, and the service guide corresponding to the name "Issuance of ID card" has a score of 45 points after operation S221, it is obvious that the service guide corresponding to "Issuance of ID card" meets the standard threshold, so the service guide corresponding to "Issuance of ID card" is used as the standard service guide.

[0064] In operation S260, a target item is obtained as an input of the optimization model, wherein the target item includes a target item name and a target item guide. The target item can be understood as an item that the user wants to optimize. For example, Zhangzhou City wants to optimize the ID card application process in the city, then ID card application is the target item of Zhangzhou City, and the search keyword for the ID card application event by the staff is the target item name. For example, if the target item name is "apply for ID card", the service guidance suggestion corresponding to the name "apply for ID card" is the target item guide.

[0065] In operation S270, the target matter guideline is scored according to the scoring rule to obtain the target score guideline.

[0066] As a possible implementation method, the target item guide may include r target service elements, where r is an integer greater than or equal to 1. Further, the r item service elements may include at least one of the completion time limit, the type of item, the number of visits, the online level, and the number of copies of materials, but are not limited thereto.

[0067] like Figure 4 As shown, operation S270 scores the target matter guide according to the scoring rules, and obtaining the target score guide includes operation S271.

[0068] In operation S271, the r target service elements are scored respectively according to the scoring rules to obtain the target score guide. The scoring rules may be the scoring rules in Table 1. The scoring rules in Table 1 can be used to score the r target service elements of the target service guide respectively to obtain the target score guide. Thus, operation S271 can be used to score the target service guide according to the scoring rules to obtain the target score guide.

[0069] In operation S280, the target item name is matched with the item names of the m item information. Taking Zhangzhou City as an example, if the city wants to optimize the ID card application process, the target item name "applying for an ID card" of Zhangzhou City is matched with the item names of the m item information. Specifically, the identification can be performed by identifying the keywords in the item name and the semantics in the item name.

[0070] In operation S290, when the item name is matched, the target score guide is compared with the standard item service guide under the item information corresponding to the matched item name to obtain a comparison result. It can be understood that when the item name is matched, the standard item service guide under the item information corresponding to the item name can be used as the target score guide to be compared, that is, the target score guide needs to be compared with the standard item service guide to obtain a comparison result.

[0071] As an implementable method, when a matter name is matched, the r target service elements of the target matter guide are the same as the g i matter service elements of the matched standard matter service guide. Figure 5 As shown, operation S290 compares the target score guide with the standard matter handling guide under the matter information corresponding to the matched matter name, and obtaining the comparison result includes operation S291.

[0072] In operation S291, the score of each target service element is compared with the score of the corresponding matter service element to obtain r comparison results. Continuing to use the service guide corresponding to "Issuance of Identity Cards" as the standard matter service guide as an example for explanation, it is assumed that the score of the matter service element "Completion Time Limit" is 0 points, the score of the matter service element "Type of Case" is 10 points, the score of the matter service element "Number of Running Times" is 10 points, the score of the matter service element "Online Processing Level" is 10 points, and the score of the matter service element "Number of Copies of Materials" is 5 points. It is assumed that the score of the target service element "Completion Time Limit" is 7 points, the score of the target service element "Type of Case" is 10 points, the score of the target service element "Number of Running Times" is 2 points, the score of the target service element "Online Processing Level" is 4 points, and the score of the target service element "Number of Copies of Materials" is 5 points. The target service element "completion time limit" can be compared with the matter service element "completion time limit". The comparison result shows that the target service element "completion time limit" is 5 points higher than the matter service element "completion time limit". The same applies to the type of case, number of runs, online processing level and number of materials, which will not be elaborated here.

[0073] In operation S300, an optimization solution for the target item is recommended as an output of the optimization model according to the comparison result.

[0074] As an implementable approach, Figure 6 As shown, operation S300 of recommending an optimization solution of a target item according to a comparison result as an output of an optimization model includes operation S301 .

[0075] In operation S301, according to each comparison result, the optimization scheme of the corresponding target service element is recommended as the output of the optimization model. As can be seen from operation S291, by comparing the score of each target service element with the score of the corresponding matter service element, r comparison results can be obtained, and each comparison result will show the gap between the target service element and the matter service element, that is, whether the target service element has a higher score than the matter service element, or the target service element has a lower score than the matter service element.

[0076] For example, if the comparison result shows that the target service element "completion time limit" is 5 points higher than the matter service element "completion time limit", it can be said that the target service element is more efficient, so it does not need to be optimized. If the comparison result shows that the target service element is less efficient than the matter service element, it is necessary to optimize the target service element. The optimization measures can refer to the matter service element corresponding to the target service element, so that the optimized target service element is the same as the corresponding matter service element. Of course, it can also exceed the corresponding matter service element, that is, it is more efficient than the corresponding matter service element. Therefore, operation S301 can facilitate the implementation of an optimization plan for recommending target matters based on the comparison results.

[0077] According to the service item optimization method based on the optimization model of the embodiment of the present disclosure, by acquiring m item information and matching the target item with the item name of the m item information, items similar to the target item can be matched quickly, accurately and efficiently from a large number of item information data; by comparing the target item guide with the standard item service guide for items similar to the target item, item optimization suggestions are made based on the comparison results, which can save manpower and material resources and improve work efficiency.

[0078] Based on the above-mentioned service item optimization method based on the optimization model, the present disclosure also provides a service item optimization device 100 based on the optimization model. Figure 7 The service item optimization device 100 based on the optimization model is described in detail.

[0079] Figure 7 The structural block diagram of the service item optimization device 100 based on the optimization model according to an embodiment of the present disclosure is schematically shown.

[0080] The service item optimization device 100 based on the optimization model includes a first acquisition module 1, a first scoring module 2, a first comparison module 3, a second acquisition module 4, a second scoring module 5, a matching module 6, a second comparison module 7, a recommendation module 8, a first setting module 9 and a second setting module 10.

[0081] The first acquisition module 1 is used to perform operation S210: obtain m items of information as the first parameter of the optimization model, wherein each item of information includes n items of information. eitem names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m.

[0082] A first setting module 9, the first setting module is used to perform operation S220: setting a scoring rule as a second parameter of the optimization model;

[0083] The first scoring module 2 is used to perform operation S230: give n to each item information according to the scoring rule e Score each item guide separately and get n e A score service guide.

[0084] A second setting module 10, the second setting module is used to perform operation S240: setting a standard threshold as a third parameter of the optimization model;

[0085] The first comparison module 3 is used to perform operation S250: n e The score service guidelines for each item are compared with the standard threshold respectively, and the score service guidelines that meet the standard threshold are used as the standard item service guidelines.

[0086] The second acquisition module 4 is used to perform operation S260: acquiring a target item, wherein the target item includes a target item name and a target item guide.

[0087] The second scoring module 5 is used to perform operation S270: score the target matter guide according to the scoring rules to obtain the target score guide.

[0088] Matching module 6, matching module 6 is used to perform operation S280: matching the target item name with the item names of the m item information.

[0089] The second comparison module 7 is used to perform operation S290: when an item name is matched, the target score guide is compared with the standard item handling guide under the item information corresponding to the matched item name to obtain a comparison result.

[0090] The recommendation module 8 is used to perform operation S300: recommend an optimization solution for the target item according to the comparison result.

[0091] Since the above-mentioned service item optimization device 100 based on the optimization model is set based on the service item optimization method based on the optimization model, the beneficial effects of the above-mentioned service item optimization device 100 based on the optimization model are the same as those of the service item optimization method based on the optimization model, which will not be repeated here.

[0092] In addition, according to the embodiments of the present disclosure, any multiple modules among the first acquisition module 1, the first scoring module 2, the first comparison module 3, the second acquisition module 4, the second scoring module 5, the matching module 6, the second comparison module 7, the recommendation module 8, the first setting module 9 and the second setting module 10 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module.

[0093] According to an embodiment of the present disclosure, at least one of the first acquisition module 1, the first scoring module 2, the first comparison module 3, the second acquisition module 4, the second scoring module 5, the matching module 6, the second comparison module 7, the recommendation module 8, the first setting module 9 and the second setting module 10 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or can be implemented in any one of the three implementation methods of software, hardware and firmware or in an appropriate combination of any of them.

[0094] Alternatively, at least one of the first acquisition module 1, the first scoring module 2, the first comparison module 3, the second acquisition module 4, the second scoring module 5, the matching module 6, the second comparison module 7, the recommendation module 8, the first setting module 9 and the second setting module 10 can be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is executed.

[0095] Figure 8 A block diagram of an electronic device suitable for implementing a service item optimization method based on an optimization model according to an embodiment of the present disclosure is schematically shown.

[0096] like Figure 8 As shown, the electronic device 900 according to an embodiment of the present disclosure includes a processor 901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage part 908 into a random access memory (RAM) 903. The processor 901 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 901 may also include an onboard memory for caching purposes. The processor 901 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0097] In RAM 903, various programs and data required for the operation of electronic device 900 are stored. Processor 901, ROM 902 and RAM 903 are connected to each other via bus 904. Processor 901 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 902 and / or RAM 903. It should be noted that the program can also be stored in one or more memories other than ROM 902 and RAM 903. Processor 901 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0098] According to an embodiment of the present disclosure, the electronic device 900 may further include an input / output (I / O) interface 905, which is also connected to the bus 904. The electronic device 900 may further include one or more of the following components connected to the I / O interface 905: an input portion 906 including a keyboard, a mouse, etc.; an output portion 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 908 including a hard disk, etc.; and a communication portion 909 including a network interface card such as a LAN card, a modem, etc. The communication portion 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the input / output (I / O) interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed, so that a computer program read therefrom is installed into the storage portion 908 as needed.

[0099] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0100] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: 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), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus, or a device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 902 and / or RAM 903 described above and / or one or more memories other than ROM 902 and RAM 903.

[0101] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method of the embodiment of the present disclosure.

[0102] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 901. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0103] In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium, and downloaded and installed through the communication part 909, and / or installed from a removable medium 911. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0104] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 909, and / or installed from the removable medium 911. When the computer program is executed by the processor 901, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0105] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0106] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0107] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0108] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A service item optimization method based on an optimization model, characterized in that: include: Obtain m items of information as the first parameter of the optimization model, wherein each item of information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m; Setting a scoring rule as a second parameter of the optimization model; According to the scoring rule, n is given to each item information e Score each of the service guidelines for the items mentioned, and get n e A score service guide; Setting a standard threshold as a third parameter of the optimization model; n e Compare the score service guidelines with the standard threshold respectively, and use the score service guidelines that meet the standard threshold as the standard service guidelines; Obtaining a target item as an input of the optimization model, wherein the target item includes a target item name and a target item guide; Score the target item guide according to the scoring rule to obtain a target score guide; Matching the target item name with the item names of the m item information, wherein the matching is performed by identifying keywords and semantics in the target item name and the item names of the m item information; When the item name is matched, the target score guide is compared with the standard item service guide under the item information corresponding to the matched item name to obtain a comparison result; and An optimization solution for the target item is recommended as an output of the optimization model based on the comparison result.

2. The method according to claim 1, characterized in that The service guide for each of the items mentioned includes g i Item service elements, g i is an integer greater than or equal to 1, i is greater than or equal to 1 and less than or equal to n e integer; The scoring rule is used to give each item information n e Score each of the service guidelines for the items mentioned, and get n e The score service guide includes: According to the scoring rules, the g of the service guide for each matter i Score each item's service element separately until n e All the service guidelines for the items mentioned above are scored and completed, and n e A score service guide.

3. The method according to claim 2, characterized in that The g i The service elements of each matter include at least one of the completion time limit, type of matter, number of trips, online processing level and number of copies of materials.

4. The method according to claim 2, characterized in that: The target item guide includes r target service elements, where r is an integer greater than or equal to 1. Scoring the target item guide according to the scoring rule to obtain the target score guide includes: According to the scoring rules, the r target service elements are scored respectively to obtain a target score guide.

5. The method according to claim 4, characterized in that When the item name is matched, the r target service elements of the target item guide are matched with the g target service elements of the matched standard item service guide. i The elements of each matter are the same. The target score guide is compared with the standard matter service guide under the matter information corresponding to the matched matter name to obtain a comparison result, including: Compare the score of each target service element with the score of the corresponding matter service element to obtain r comparison results.

6. The method according to claim 5, characterized in that The recommending the optimization scheme of the target item as the output of the optimization model according to the comparison result includes: According to each of the comparison results, an optimization solution for the corresponding target service element is recommended as the output of the optimization model.

7. A service item optimization device based on an optimization model, characterized in that: include: The first acquisition module is used to acquire m items of information as the first parameter of the optimization model, wherein each item of information includes n e item names and the item service guide corresponding to each item name, m is an integer greater than or equal to 1, n e is an integer greater than or equal to 1, and e is an integer greater than or equal to 1 and less than or equal to m; A first setting module, the first setting module is used to execute and set a scoring rule as a second parameter of the optimization model; The first scoring module is used to perform scoring for each item information according to the scoring rule. e Score each of the service guidelines for the items mentioned, and get n e A score service guide; A second setting module, the second setting module is used to set a standard threshold as a third parameter of the optimization model; A first comparison module, wherein the first comparison module is used to perform n e Compare the score service guidelines with the standard threshold respectively, and use the score service guidelines that meet the standard threshold as the standard service guidelines; A second acquisition module, the second acquisition module is used to execute acquisition of target items as inputs of the optimization model, wherein the target items include target item names and target item guidelines; A second scoring module, the second scoring module is used to score the target matter guideline according to the scoring rule to obtain a target score guideline; A matching module, the matching module is used to match the target item name with the item names of the m item information, wherein the matching is performed by identifying keywords and semantics in the target item name and the item names of the m item information; a second comparison module, the second comparison module being used to compare the target score guide with the standard matter service guide under the matter information corresponding to the matched matter name when the matter name is matched, to obtain a comparison result; and A recommendation module is used to recommend an optimization solution for the target item as an output of the optimization model based on the comparison result.

8. An electronic device, characterized in that: include: one or more processors; One or more memories, used to store executable instructions, which, when executed by the processor, implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The storage medium stores executable instructions, which, when executed by a processor, implement the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises a computer program, wherein the computer program comprises one or more executable instructions, and when the executable instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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