Patent service model construction system and method

Abstract

The embodiment of the invention provides a patent service model construction system and method, and relates to the technical field of computers. Constructing an association relationship between the enterprise credit code and the patent service type based on a Hive cluster through a first recommendation data generation module; the second recommendation data generation module establishes a patent service judgment rule base through enterprise patent state analysis in a preset time period, and patent service judgment rules include that when an enterprise has patents and the sum of the number of invention patents and the number of utility model patents in the preset time period is not smaller than a preset numerical value, the patent service judgment rule base is established; mining and layout of recommended patents, cultivation of high-value patents and patent application service; when the enterprise does not have the patent, recommending a patent application service; and a third recommendation data generation module synchronizes the association relationship and the patent service judgment rule base to an Elasticsearch cluster to form an online query patent service model. The online service can conveniently inquire the patent service type corresponding to the enterprise credit code in real time according to the enterprise credit code, and the business conversion efficiency is improved.

Description

[0001] This application is a divisional application of the patent application No. 202310917726.0, with the application date of July 25, 2023, and the title of "Service recommendation method, electronic device and readable storage medium". TECHNICAL FIELD

[0002] The present application relates to the technical field of computer, in particular to a patent service model construction system and method. BACKGROUND

[0003] Some enterprises cannot fully understand the patent application situation and policy information of their own enterprises, such as the number of applied patents, patent invalidation and policy compliance information. At present, there are a batch of high-quality users (also known as target objects) on the PC side, and these users are mainly divided into patent followers and policy followers. These high-quality users need to actively find information suitable for themselves, and cannot find more valuable and targeted patent information or policy information, resulting in low business conversion efficiency. SUMMARY

[0004] The present application provides a patent service model construction system and method, which facilitates online services to query the corresponding patent service type according to the enterprise credit code in real time, so as to guide high-quality users to find more valuable information and improve user stickiness and business conversion efficiency.

[0005] In a first aspect, the present application provides a patent service model construction system, which comprises: A first recommendation data generation module is configured to establish an association between an enterprise credit code and a patent service type based on a Hive cluster. A second recommendation data generation module is configured to establish a patent service determination rule library through enterprise patent state analysis in a preset time period, wherein the patent service determination rules include: when an enterprise has a patent and the sum of the number of invention patents and utility model patents in a preset time period is not less than a preset value, recommending patent mining and layout, high-value patent cultivation and patent application services; and when an enterprise does not have a patent, recommending patent application services. A third recommendation data generation module is configured to synchronize the association and the patent service determination rule library to an Elasticsearch cluster to form a patent service model for online query.

[0006] In some embodiments of the present application, the second recommendation data generation module is further configured to store patent service determination rules, and the patent service determination rules further include: When the average invention patent review period of an enterprise is greater than a preset time limit, recommending invention patent expedited service. and when the enterprise has invention patent rejection information disclosure in the past 1 year, recommend invention patent rejection review service.

[0007] In some embodiments of the present application, the second recommendation data generation module is further configured to store patent service determination rules, the patent service determination rules further comprising: based on the record that the enterprise becomes a party to patent invalidation, recommend patent invalidation service.

[0008] In some embodiments of the present application, the second recommendation data generation module is further configured to store patent service determination rules, the patent service determination rules further comprising: The enterprise has a patent, and the sum of invention and utility model patents disclosed in a preset time period is less than a preset value, recommend invention patent application, utility model patent application, and design patent application.

[0009] In some embodiments of the present application, the first recommendation data generation module is specifically configured to: Offline production of a one-to-many enterprise credit code and patent service type relationship table.

[0010] In some embodiments of the present application, the system further comprises an information acquisition module; The information acquisition module is configured to acquire the patent service model.

[0011] In a second aspect, the embodiments of the present application provide a patent service model construction method, the method comprising: Based on the Hive cluster, an association relationship between the enterprise credit code and the patent service type is constructed; Through enterprise patent state analysis in a preset time period, a patent service determination rule library is established, wherein the patent service determination rules comprise: When the enterprise has a patent, and the sum of invention patents and utility model patents in a preset time period is not less than a preset value, recommend patent mining and layout, high-value patent cultivation, and patent application service; and when the enterprise does not have a patent, recommend patent application service; The association relationship and the patent service determination rule library are synchronized to the Elasticsearch cluster to form an online query patent service model.

[0012] In some embodiments of the present application, the patent service determination rules further comprise: When the average invention patent review period of the enterprise is greater than a preset time limit, recommend invention patent urgent service; and when the enterprise has invention patent rejection information disclosure in the past 1 year, recommend invention patent rejection review service.

[0013] Thirdly, embodiments of this application provide an electronic device, including a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform any of the methods provided in the first aspect above.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing instructions that, when executed, perform the method described in any one of the methods provided in the first aspect above.

[0015] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. By employing a technical approach that involves establishing connections through enterprise authentication based on target objects, generating recommended consultation data by combining patent service models and business scenarios, and then linking the recommended consultation data with preset service guidance and displaying it in the display area, the problem of low business conversion efficiency caused by high-quality users being unable to discover more valuable information when searching for information on their own is effectively solved.

[0016] 2. By verifying enterprises through target entities, customized services can be provided to enterprises.

[0017] 3. Link recommended consultation data with service guidance to achieve one-to-one service, further improving user stickiness and business conversion efficiency.

[0018] 4. Based on all domestic patents, a patent service model for enterprise credit code relationships is built in the Hive cluster. An offline table showing the relationship between enterprise credit codes and patent service types is generated. The offline generated data is synchronized to the Elasticsearch cluster, which facilitates online services to query the corresponding patent service type in real time based on the enterprise credit code. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a service recommendation method provided in one embodiment of this application; Figure 2 yes Figure 1 One of the flowcharts for a sub-step of step S300; Figure 3 yes Figure 2 A flowchart illustrating a sub-step of step S301; Figure 4 yes Figure 1 The second flowchart of a sub-step in step S300; Figure 5 yesFigure 1 Figure 3 is a flowchart illustrating a third sub-step of step S300; Figure 6 Figure 1 Figure 4 is a flowchart illustrating a fourth sub-step of step S300; Figure 7 Figure 5 is a structural diagram of a service recommendation device according to an embodiment of the present application; Figure 8 Figure 6 is a structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to enable a person skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the present specification will be described clearly and completely below in conjunction with the drawings in the present specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0021] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0022] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used only for the purpose of description, and should not be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0023] In the related art, in a specific patent station scenario, services such as patent application, patent urgency, patent review, patent invalidation / litigation, and patent intelligence are recommended to users according to the patent binding of the enterprise; in a specific policy station scenario, services such as local enterprise attraction policy consultation and enterprise annual subsidy declaration are recommended to users according to the geographical location of the user. According to the above recommendation, the user can help the user to discover and trace the patent status of the enterprise more quickly, and discover some potential local or national policy support and subsidy projects.

[0024] ​Based on this, the embodiment of the application provides a patent service model construction system and method, an electronic device and a readable storage medium. The service recommendation method obtains service consultation information and a consultation scene according to a consultation request obtained in response to a consultation request initiated by a target object on a consultation page of a client, the target object has been authenticated to an enterprise, and the target object is associated with the enterprise after authentication, so that the service consultation information and the consultation scene are related to the enterprise; a preset patent service model and a business scene set are obtained, which is beneficial to providing customized services according to the business scene set and the patent service model; in the case where the consultation scene belongs to the business scene set, recommendation consultation data corresponding to the consultation scene and the service consultation information is generated through the patent service model, which can guide high-quality users to find more valuable information and improve user stickiness and business conversion efficiency; the recommendation consultation data and preset service guidance corresponding to the recommendation consultation data are associated to form page display data, so as to realize one-to-one service and further improve user stickiness and business conversion efficiency; and the page display data is displayed in a display area of the consultation page. Compared with the prior art in which high-quality users query information by themselves and cannot find more valuable information, resulting in low business conversion efficiency, the embodiment of the application provides customized services for high-quality users through the patent service model and the business scene set, guides high-quality users to find more valuable information, and improves user stickiness and business conversion efficiency.

[0025] It should be noted that the service recommendation method can be applied to patent query of an enterprise, and according to an enterprise patent state, a patent related service is recommended for business conversion. The service recommendation method can also recommend local enterprise attraction policy consultation and enterprise annual subsidy declaration services for a user, and through targeted recommendation, user stickiness can be improved.

[0026] The technical solutions provided by the embodiment of the application will be further described below with reference to the drawings.

[0027] Reference Figure 1 , Figure 1 is a flowchart of the service recommendation method provided by the embodiment of the application. The service recommendation method comprises steps S100, S200, S300, S400 and S500.

[0028] Step S100: in response to a consultation request initiated by a target object on a consultation page of a client, service consultation information and a consultation scene are obtained according to the consultation request, and the target object has been authenticated to an enterprise.

[0029] In some embodiments, the target object is a consulting user, and the target object has been authenticated by the enterprise. The target object conducts enterprise-related consultation on a consultation page of a client. In response to a consultation request initiated by the target object on the consultation page of the client, the consultation request is identified by using a preset text recognition algorithm according to the consultation request, and service consultation information and a consultation scenario are obtained. The target object is associated with the enterprise by the above authentication, so that the service consultation information and the consultation scenario are related to the enterprise, and subsequent one-to-one service data recommendation is facilitated by obtaining the service consultation information and the consultation scenario. The preset text recognition algorithm can be one of natural language models, and the service consultation information and the consultation scenario can be extracted, which is not described here.

[0030] In an embodiment, before responding to the consultation request initiated by the target object on the consultation page of the client, the service recommendation method further includes judging whether the target object is in a login state. In the case that the target object is not in the login state, a login registration page is displayed in the form of a small window on the consultation page, and the target object is prompted to register and log in first before subsequent operation.

[0031] In another embodiment, in the case that the target object is in the login state, it is verified whether the target object has been authenticated by the enterprise. In the case that the target object has been authenticated by the enterprise, the target object is a high-value user, and service information is displayed to the target object. In response to the consultation request initiated by the target object on the consultation page of the client, service consultation information and a consultation scenario are obtained according to the consultation request, so as to facilitate subsequent service data recommendation. In the case that the target object has not been authenticated by the enterprise, the target object is a non-high-value user, and only a normal query page is displayed. According to the above enterprise authentication, a high-quality user is determined, and corresponding recommendation service is provided for the high-quality user, so as to improve user stickiness and business conversion efficiency.

[0032] It should be noted that according to the consultation request and the fact that the target object has been authenticated by the enterprise, a user ID, a user-bound enterprise credit code, a scene type, and region information (codes of provinces, cities, and districts) are obtained. When entering the patent analysis report scene of the enterprise, the following information needs to be judged: whether the enterprise viewed by the user is the same as the enterprise bound by the user, the user ID, the user-bound enterprise credit code, the scene type, the region information (codes of provinces, cities, and districts), the current viewed enterprise credit code, and a flag information whether it is the same enterprise.

[0033] In step S200, a preset patent service model and a business scene set are obtained.

[0034] In an embodiment, the preset patent service model and the business scenario set are read from the local through a preset reading interface, or are read from a cloud server, which is beneficial to providing customized services according to the business scenario set and the patent service model. The preset reading interface is a file or a model reading function, and a suitable function can be adopted according to the requirement, which is not described herein.

[0035] The patent service model includes a patent application type, a patent urgency type, a patent review type, a patent invalidation / litigation type, and a patent information type. The patent application type, the patent urgency type, the patent review type, and the patent invalidation / litigation type are determined according to the patent state, the patent quantity, and the time length of an enterprise, and the patent information type needs to be determined according to the business scenario input through an interface. The patent application type: the enterprise has a patent, and the sum of the invention and utility model patents disclosed in a preset time period is less than a preset value, and the recommended services of the patent service model are, in sequence, an invention patent application, a utility model patent application, and a design patent application. The enterprise has a patent, and the sum of the invention and utility model patents disclosed in a preset time period is greater than or equal to a preset value, and the recommended services of the patent service model are, in sequence, patent mining and layout, high-value patent cultivation, an invention patent application, a utility model patent application, and a design patent application. The patent urgency type: the average invention patent review period of the enterprise is greater than a preset year, and the recommended service of the patent service model is an invention patent urgency. The patent review type: the enterprise has information disclosure of invention patent rejection in the past year, and the recommended service of the patent service model is invention patent rejection review. The patent invalidation / litigation type: the enterprise has been an invalidation party in the past year, and the recommended service of the patent service model is patent invalidation declaration service. The patent information type: the corresponding service is recommended according to the type of the scenario in which the user is located. Based on all the patents in China, a patent service model related to the credit code of an enterprise is constructed in a Hive cluster, a one-to-many relationship table of the credit code of the enterprise and the patent service type is produced offline, and the data produced offline is synchronized to an Elasticsearch cluster, so that the patent service type corresponding to the credit code of the enterprise can be inquired in real time according to the credit code of the enterprise.

[0036] It should be noted that, since the period for requesting substantive examination in the patent review is 3 years, the preset time period is set to 3 years, and can also be other values. The preset value can be 30 or 40, which is set according to the patent application target of the enterprise, which is not described herein. The business scenario set includes multiple scenarios, which are described in the following embodiments.

[0037] In step S300, the recommended consultation data corresponding to the consultation scenario and the service consultation information is generated through the patent service model in the case where the consultation scenario belongs to the business scenario set.

[0038] In an embodiment, in a case where the consultation scenario belongs to the business scenario set, the consultation scenario is represented as at least one of preset business scenarios, and recommended consultation data corresponding to the consultation scenario and service consultation information is generated by the patent service model. The recommended consultation data can be matched with the data that the high-value user wants to obtain, guide the high-quality user to find more valuable information, thereby improving user stickiness and business conversion efficiency. The preset business scenario can be a technical prospect report scenario, an industrial innovation panoramic report scenario, a regional patent comparison report scenario, an enterprise observation platform scenario, and an enterprise comparison report scenario.

[0039] In another embodiment, in a case where the consultation scenario does not belong to the business scenario set, the generated recommended consultation data is empty, indicating that the target object query is not enterprise information, enterprise patent information, and enterprise local policy information.

[0040] In some embodiments, the business scenario set includes a technical panoramic report scenario, as shown in Figure 2 In a case where the consultation scenario belongs to the business scenario set, the recommended consultation data corresponding to the consultation scenario and the service consultation information is generated by the patent service model, including but not limited to the following steps: Step S301, in a case where the consultation scenario is a technical panoramic report scenario, querying the patent service of the enterprise in the patent service model to obtain the patent service type.

[0041] In one possible embodiment of the present application, in a case where the consultation scenario is a technical panoramic report scenario, the patent service corresponding to the enterprise is queried by the Elasticsearch cluster in the patent service model according to the technical panoramic report scenario, and the patent service model is obtained, which is beneficial to subsequent recommendation to the target object.

[0042] As shown in Figure 3 In the patent service model, the patent service of the enterprise is queried to obtain the patent service type, including but not limited to the following steps: Step S3011, querying the patent state of the enterprise in the patent service model, and in a case where the enterprise has a patent, and the sum of the number of invention patents and the number of utility model patents in a preset time period is not less than a preset value, recommending patent mining and layout, high-value patent cultivation and patent application to obtain the patent service type.

[0043] In a possible embodiment of the present application, since the patent service model builds a patent service model about the relationship between the enterprise credit code in the hive cluster, a one-to-many relationship table of the enterprise credit code and the patent service type is produced offline, and the offline produced data is synchronized to the Elasticsearch cluster. Therefore, the patent status of the enterprise is queried in the patent service model, and in the case that the enterprise has a patent, and the sum of the number of invention patents and the number of utility model patents in a preset time period is not less than a preset value, it indicates that the enterprise has a patent, and the patent status of the enterprise can be further improved. Therefore, patent mining and layout, high-value patent cultivation and patent application are recommended, and the patent service type is obtained. The preset time period can be set to 3 years, or other values. The preset value can be 30, or 40, which is set according to the application patent target of the enterprise, which is not described here.

[0044] Step S3012, in the case that the enterprise does not have a patent, patent application is recommended, and the patent service type is obtained.

[0045] In a possible embodiment of the present application, in the case that the enterprise does not have a patent, it indicates that the enterprise has no patent, which is not conducive to the development of high-tech enterprises, and therefore patent application is recommended, and the patent service type is obtained. Among them, the patent application includes invention patent application, utility model patent application and design patent application. According to the above patent service type obtained, it is beneficial to subsequent recommendation to the target object.

[0046] Step S302, the keywords of the service consultation information and the patent investigation and analysis keywords are associated to obtain the patent intelligence type.

[0047] In a possible embodiment of the present application, according to the service consultation information obtained in step S100, the keywords in the service consultation information are extracted, which are technical keywords, and then the technical keywords and the patent investigation and analysis keywords are associated to obtain the patent intelligence type, which is beneficial to subsequent recommendation to the target object. Among them, the keyword association mainly splices the technical keywords and the patent investigation and analysis keywords. For example, the technical keyword is "robot", which is spliced with the patent investigation and analysis keyword to obtain "robot patent investigation and analysis", and the service provided by the patent intelligence type is "robot patent investigation and analysis".

[0048] Step S303, the patent service type and the patent intelligence type are used as recommendation consultation data, wherein the patent service type is preferentially recommended.

[0049] In a possible embodiment of the present application, the patent service type obtained according to step S301 and the patent information type obtained according to step S302 are used to obtain recommended consulting data, which is used to guide high-quality users to find more valuable information, thereby improving user stickiness and business conversion efficiency. When both conditions are met, the patent service type is preferentially recommended. If the patent service type does not meet the condition, the patent information type is recommended. According to the above results, the recommended results can be displayed for the target object to view subsequently.

[0050] In some embodiments, the business scenario set further includes an industrial innovation panoramic report scenario, as shown in Figure 4 As shown in the figure, when the consulting scenario belongs to the business scenario set, the recommended consulting data corresponding to the consulting scenario and the service consulting information is generated by the patent service model, including but not limited to the following steps: Step S304, in the case where the consulting scenario is an industrial innovation panoramic report scenario, the keywords of the service consulting information are associated with the patent investigation and analysis keywords to obtain the patent information type.

[0051] In a possible embodiment of the present application, in the case where the consulting scenario is an industrial innovation panoramic report scenario, the keywords in the service consulting information are extracted, which are technical keywords, and then the technical keywords are associated with the patent investigation and analysis keywords to obtain the patent information type, which is beneficial for subsequent recommendation to the target object. Exemplarily, the technical keyword is “high-precision special new”, which is spliced with the patent investigation and analysis keyword to obtain “high-precision special new patent investigation and analysis”, and the service provided by the patent information type is “high-precision special new patent investigation and analysis”.

[0052] Step S305, obtaining the regional information of the enterprise, generating policy services and declaration planning services corresponding to the regional information to obtain the policy service type.

[0053] In a possible embodiment of the present application, according to the authenticated enterprise, the regional information of the enterprise is obtained, and the “regional enterprise attraction policy consulting” and “regional enterprise annual subsidy declaration planning” services corresponding to the regional information are generated to obtain the policy service type, which is beneficial for subsequent recommendation of the policy service type. Exemplarily, the regional information is Shenzhen, and the services are “Shenzhen enterprise attraction policy consulting” and “Shenzhen enterprise annual subsidy declaration planning” services.

[0054] Step S306, using the patent information type and the policy service type as the recommended consulting data, wherein the patent information type is preferentially recommended.

[0055] In a possible embodiment of the present application, the patent information type obtained according to step S304 and the policy service type obtained according to step S305 are used to obtain recommended consulting data, which is used to guide high-quality users to find more valuable information and improve user stickiness and business conversion efficiency. When both conditions are met, the patent information type is recommended first. If the patent information type does not meet the condition, the policy service type is recommended. According to the above results, the recommended results can be displayed for the target object to view subsequently.

[0056] In some embodiments, the business scenario set further includes a regional patent comparison report scenario, as shown in Figure 5 When the consulting scenario belongs to the business scenario set, the recommended consulting data corresponding to the consulting scenario and the service consulting information is generated by the patent service model, including but not limited to the following steps: Step S307, in the case where the consulting scenario is a regional patent comparison report scenario, querying the patent service of the enterprise in the patent service model to obtain a patent service type.

[0057] In a possible embodiment of the present application, in the case where the consulting scenario is a technology panoramic report scenario, the corresponding patent service of the enterprise is queried in the Elasticsearch cluster of the patent service model according to the technology panoramic report scenario to obtain the patent service model, which is beneficial for subsequent recommendation to the target object. According to the description of steps S3011 and S3012 above, no further description is given here.

[0058] Step S308, associating the keywords of the service consulting information with the patent investigation and analysis keywords to obtain a patent information type.

[0059] In a possible embodiment of the present application, according to the service consulting information, the keywords in the service consulting information are extracted, which are technical keywords, and then the technical keywords are associated with the patent investigation and analysis keywords to obtain a patent information type, which is beneficial for subsequent recommendation to the target object. For example, the technical keyword is "biological industry", which is spliced with the patent investigation and analysis keyword to obtain "biological industry patent investigation and analysis", and the service provided by the patent information type is "biological industry patent investigation and analysis".

[0060] Step S309, obtaining the regional information of the enterprise, generating policy services and declaration planning services corresponding to the regional information to obtain a policy service type.

[0061] In a possible embodiment of the present application, according to the authenticated enterprise, the region information where the enterprise is located is obtained, the "regional enterprise attraction policy consultation" and "regional enterprise annual subsidy declaration planning" services corresponding to the region information are generated, the policy service type is obtained, which is conducive to subsequent recommendation of the policy service type. Exemplarily, the region information is Shenzhen City, and the services are "Shenzhen City enterprise attraction policy consultation" and "Shenzhen City enterprise annual subsidy declaration planning" services.

[0062] In step S310, the patent service type, the patent information type and the policy service type are taken as the recommended consultation data, wherein the patent service type and the patent information type are preferentially recommended.

[0063] In a possible embodiment of the present application, according to the patent service type obtained in step S307, the patent information type obtained in step S308 and the policy service type obtained in step S309, the recommended consultation data is obtained, which guides the high-quality users to find more valuable information through the recommended consultation data, and improves the user stickiness and the business conversion efficiency. When all the conditions are met, the patent service type and the patent information type are preferentially recommended. If the recommended patent service type and the patent information type do not meet the conditions, the policy service type is recommended. According to the above results, it is conducive to subsequent display of the recommended results to the target object.

[0064] In some embodiments, the business scenario set further includes an enterprise comparison report scenario, as shown in Figure 6 As shown in the figure, when the consultation scenario belongs to the business scenario set, the recommended consultation data corresponding to the consultation scenario and the service consultation information is generated through the patent service model, including but not limited to the following steps: In step S311, when the consultation scenario is the enterprise comparison report scenario, the patent infringement service and the patent mining and layout service of the enterprise are queried in the patent service model.

[0065] In a possible embodiment of the present application, when the consultation scenario is the enterprise comparison report scenario, according to the enterprise comparison report scenario, the patent infringement service and the patent mining and layout service corresponding to the enterprise are queried through the Elasticsearch cluster in the patent service model, which is conducive to subsequent recommendation to the target object.

[0066] In step S312, the region information where the enterprise is located is obtained, the policy service and the declaration planning service corresponding to the region information are generated, and the policy service type is obtained.

[0067] In a possible embodiment of the present application, according to the authenticated enterprise, the region information where the enterprise is located is obtained, the "enterprise annual subsidy declaration planning" corresponding to the region information is generated, and the policy service type is obtained, which is conducive to subsequent recommendation of the policy service type.

[0068] Step S313, taking the patent infringement service, patent mining and layout service and policy service type as the recommended consulting data, wherein the patent infringement service and the patent mining and layout service are preferentially recommended.

[0069] In one possible embodiment of the present application, the patent infringement service and the patent mining and layout service obtained according to step S311 and the policy service type obtained according to step S312 are used to obtain the recommended consulting data, which is used to guide high-quality users to find more valuable information, thereby improving user stickiness and business conversion efficiency. When both conditions are met, the patent infringement service and the patent mining and layout service are preferentially recommended. If the patent infringement service and the patent mining and layout service do not meet the conditions, the policy service type is recommended. According to the above results, the recommended results can be displayed for the target object to view subsequently.

[0070] In one possible embodiment of the present application, in the case of the consulting scenario being the enterprise observation platform scenario, the region information of the enterprise is obtained according to the authenticated enterprise, and the "regional patent technology investigation and analysis" and "regional enterprise intellectual property investigation" services corresponding to the region information are generated to obtain the patent intelligence type, which is beneficial to subsequent recommendation of the patent intelligence type. The "regional enterprise attraction policy consulting" and "regional enterprise annual subsidy application planning" services corresponding to the region information are generated according to the authenticated enterprise to obtain the policy service type, which is beneficial to subsequent recommendation of the policy service type. The recommended consulting data is obtained according to the patent intelligence type and the policy service type, which is used to guide high-quality users to find more valuable information, thereby improving user stickiness and business conversion efficiency. When both conditions are met, the patent intelligence type is preferentially recommended. If the patent intelligence type does not meet the conditions, the policy service type is recommended. According to the above results, the recommended results can be displayed for the target object to view subsequently.

[0071] In some embodiments, the set of business scenarios further comprises an enterprise patent analysis report scenario, and in the case that the consulting scenario belongs to the set of business scenarios, the recommended consulting data corresponding to the consulting scenario and the service consulting information is generated by the patent service model, comprising: in the case that the consulting scenario is the enterprise patent analysis report scenario, the patent report of the enterprise, the patent report of the peer enterprise of the enterprise and the patent report of the non-peer enterprise of the enterprise are generated by the patent service model to form the recommended consulting data, so as to display the recommended consulting data to the target object for viewing. Among them, the patent report of the enterprise includes the recommended patent service type and patent intelligence type when querying the enterprise; the patent report of the peer enterprise of the enterprise includes the recommended patent service type and patent intelligence type when querying the peer enterprise; and the patent report of the non-peer enterprise includes the recommended patent intelligence type when querying the non-peer enterprise. According to the above, the high-value user can be guided to understand the patent situation of the enterprise, the peer enterprise and the non-peer enterprise, which is conducive to the layout of the patent of the enterprise.

[0072] Step S400, the recommended consulting data and the preset service guide corresponding to the recommended consulting data are associated to form page display data.

[0073] In an embodiment, the preset service guide includes a customer service robot, a service ID of the customer service robot is obtained, the recommended consulting data and the service ID are associated to form the page display data, one-to-one service can be realized, and user stickiness and business conversion efficiency are further improved. The recommended consulting data can also be added with an introduction / subtitle to attract the target object to click and view, wherein the introduction / subtitle added corresponding to different service consulting is as shown in the service and introduction / subtitle table, and the service and introduction / subtitle table is as follows: Step S500, the page display data is displayed in the display area of the consulting page.

[0074] In an embodiment, the display area can be set on the right side of the consulting page, or on the left side of the consulting page, which is not described here. In the case that the display area can be set on the right side of the consulting page, the page display data is displayed on the right side of the consulting page, which is convenient for the high-value user to view. At most 3 records can be displayed in the right side area of the consulting page, and a component is arranged near the right side area on the consulting page, so that the target object can switch and view through the component. A dialog box is also arranged near the right side area on the consulting page, so that the target object and the customer service robot can communicate one-on-one, thereby accelerating the target object to obtain various information.

[0075] As Figure 7As shown, the embodiment of the present application provides a service recommendation device 100, which responds to a consultation request initiated by a target object on a consultation page of a client through a request response module 110, obtains service consultation information and a consultation scene according to the consultation request, the target object has been authenticated by an enterprise, and the target object is associated with the enterprise after authentication, so that the service consultation information and the consultation scene are related to the enterprise; a preset patent service model and a business scene set are obtained by using an information acquisition module 120, which is beneficial to providing customized services according to the business scene set and the patent service model; in the case that the consultation scene belongs to the business scene set, recommendation consultation data corresponding to the consultation scene and the service consultation information is generated by using a recommendation data generation module 130, which can guide high-quality users to find more valuable information and improve user stickiness and business conversion efficiency; the recommendation consultation data and a preset service guide corresponding to the recommendation consultation data are associated by using a data association module 140 to form page display data, so as to realize one-to-one service and further improve user stickiness and business conversion efficiency; and the page display data is displayed in a display area of the consultation page by using a page display module 150.

[0076] It should be noted that the request response module 110 is connected with the information acquisition module 120, the information acquisition module 120 is connected with the recommendation data generation module 130, the recommendation data generation module 130 is connected with the data association module 140, and the data association module 140 is connected with the page display module 150. The above service recommendation method is applied to the service recommendation device 100, the service recommendation device 100 establishes contact by authenticating the target object by the enterprise, generates recommendation consultation data in combination with the patent service model and the business scene, associates the recommendation consultation data with the preset service guide, and displays the recommendation consultation data in the display area, which can provide customized services for the enterprise, associate the recommendation consultation data with the service guide, realize one-to-one service, and further improve user stickiness and business conversion efficiency.

[0077] It should also be noted that the device provided in the above embodiment is only used as an example to divide the above functional modules in realizing its functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is described in the method embodiment, which will not be described here.

[0078] The present application also discloses an electronic device. Referring to Figure 8 , Figure 8is a structural schematic diagram of an electronic device disclosed by an embodiment of the present application. The electronic device 500 can include at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, and at least one communication bus 502.

[0079] The communication bus 502 is configured to realize connection and communication between the components.

[0080] The user interface 503 can include a display and a camera. Optionally, the user interface 503 can further include a standard wired interface and a wireless interface.

[0081] The network interface 504 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0082] The processor 501 can include one or more processing cores. The processor 501 is connected to various parts of the server through various interfaces and lines, and performs various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 501 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU is mainly used to process an operating system, a user interface, and an application program. The GPU is used to render and draw the content to be displayed on the display. The modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 501, but can be implemented by a separate chip.

[0083] The memory 505 may include random access memory (RAM) or read-only memory. Optionally, the memory 505 may include a non-transitory computer-readable storage medium. The memory 505 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 505 may also be at least one storage device located remotely from the aforementioned processor 501. (Refer to...) Figure 8 The memory 505, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a service recommendation method.

[0084] exist Figure 8 In the illustrated electronic device 500, the user interface 503 is mainly used to provide an input interface for the user and to obtain user input data; while the processor 501 can be used to call an application program storing a service recommendation method in the memory 505. When executed by one or more processors 501, the electronic device 500 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0085] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0086] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments is merely illustrative, and the division of units can be changed according to actual conditions, such as a combination or integration of some units, or a distribution of some features to other systems, or some features can be ignored, or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units can be indirect coupling or communication connection through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0087] The units described as separate components may or can not be physically separate, and the components shown as units may or can not be physical units, i.e. may be located in one place or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0088] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0089] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that contributes to the technical solutions or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, magnetic disk or optical disk, and various program code storage media.

[0090] The above are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure.

[0091] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A patent service model construction system, characterized by, The system comprises: A first recommendation data generation module for establishing an association between an enterprise credit code and a patent service type based on a Hive cluster; A second recommendation data generation module for establishing a patent service determination rule library through enterprise patent status analysis within a preset time period, wherein the patent service determination rules include: recommending patent mining and layout, high-value patent cultivation, and patent application services when an enterprise has patents and the sum of the number of invention patents and utility model patents within the preset time period is not less than a preset value; and recommending patent application services when an enterprise does not have patents; A third recommendation data generation module for synchronizing the association and the patent service determination rule library to an Elasticsearch cluster to form an online query patent service model.

2. The patent service model building system of claim 1, wherein, The second recommendation data generation module is further configured to store patent service determination rules, and the patent service determination rules further include: When the average invention patent review period of an enterprise is greater than a preset time limit, recommending invention patent expedited service; And when an enterprise has invention patent rejection information disclosed in the past 1 year, recommending invention patent rejection review service.

3. The patent service model building system of claim 1, wherein, The second recommendation data generation module is further configured to store patent service determination rules, and the patent service determination rules further include: Based on the record of an enterprise becoming a party to a patent invalidation, recommending patent invalidation declaration service.

4. The patent service model building system of claim 1, wherein, The second recommendation data generation module is further configured to store patent service determination rules, and the patent service determination rules further include: An enterprise has patents, and the sum of invention and utility model patents disclosed within a preset time period is less than a preset value, recommending invention patent application, utility model patent application, and design patent application.

5. The patent service model building system of claim 1, wherein, The first recommendation data generation module is specifically configured to: Offline production of a one-to-many enterprise credit code and patent service type relationship table.

6. The patent service model building system of claim 1, wherein, The system further comprises an information acquisition module; The information acquisition module is configured to acquire the patent service model.

7. A patent service model construction method characterized by comprising: The method comprises: Establishing an association between an enterprise credit code and a patent service type based on a Hive cluster; Establishing a patent service determination rule library through enterprise patent status analysis within a preset time period, wherein the patent service determination rules include: When an enterprise has patents and the sum of the number of invention patents and utility model patents within a preset time period is not less than a preset value, recommending patent mining and layout, high-value patent cultivation, and patent application services; And when an enterprise does not have patents, recommending patent application services; Synchronizing the association and the patent service determination rule library to an Elasticsearch cluster to form an online query patent service model.

8. The patent service model building method of claim 7, wherein, The patent service determination rules further include: When the average invention patent review period of an enterprise is greater than a preset time limit, recommending invention patent expedited service; And when an enterprise has invention patent rejection information disclosed in the past 1 year, recommending invention patent rejection review service.

9. An electronic device, comprising: An electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating with other devices, the processor configured to execute the instructions stored in the memory to cause the electronic device to perform the method of any one of claims 7-8.

10. A computer-readable storage medium, characterized in that, A computer-readable storage medium storing instructions that, when executed, perform the method of any one of claims 7-8.

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