Intellectual property hosting service system

Abstract

The invention discloses an intellectual property hosting service system, which relates to the technical field of intellectual property, and is characterized in that an importance evaluation module analyzes the importance degree of a customer through a deep learning technology, and calculates a value contribution factor Jgyz and a reminding interval attenuation coefficient Sjxs of the customer based on a hosting service data set; by means of the intelligent analysis mode, the system can set reminding frequency for clients in a customized mode according to the importance and the specific business condition of each client. In particular, through dynamic adjustment of the reminding interval attenuation coefficient Sjxs, more frequent reminding can be set for important clients or key services, and it is ensured that the intellectual property with high priority can get more timely attention, so that the requirements of the clients can be met more accurately. Through the cooperation of the expiration reminding module and the feedback management module, the system can dynamically adjust the interval Qtjg of subsequent reminding according to the actual response condition of the hosting service party.

Description

Technical Field

[0001] The present invention relates to the technical field of intellectual property, and particularly to an intellectual property trusteeship service system. Background Art

[0002] In the field of intellectual property management, it involves the full life cycle management of intellectual property assets such as patents, trademarks, and copyrights. With the development of the knowledge economy, more and more enterprises and individuals achieve systematic management of intellectual property through trusteeship services, which can reduce the direct investment in the complex management of intellectual property and concentrate resources on the development of core businesses. In practical applications, the intellectual property expiration reminder service is a key link in the trusteeship service, and the optimization of this reminder service helps to reduce the risk of loss of rights due to information omission.

[0003] Most of the existing intellectual property expiration reminder services adopt a reminder mechanism with a fixed time interval or rely on manual records and regular inspections to judge the expiration of intellectual property. Usually, reminders are made several months or weeks before the expiration. This method has great deficiencies in the flexibility and responsiveness of the reminder time, and it is easy to cause the situation of overly frequent or insufficient reminders. Many intellectual property service agencies lack an intelligent reminder mechanism, resulting in difficulty in updating information in a timely manner when dealing with a large number of businesses, and difficulty in automatically adjusting the reminder frequency according to the importance of intellectual property. Especially for intellectual property that has been ignored multiple times and the entrusted business of important customers, the reminder mechanism lacks an effective feedback adjustment method and is difficult to fully meet the complexity and differentiated needs of intellectual property trusteeship services.

[0004] The defects of the above-mentioned situation are mainly due to the lack of data processing and analysis capabilities in the existing system, making it difficult to dynamically adjust the reminder frequency according to the actual situation of different intellectual properties. Too low a reminder frequency may lead to the loss of rights after the expiration of important intellectual property, while too high a reminder frequency may cause management chaos and waste of resources. In addition, when the trustee fails to respond in a timely manner after the specified reminder time, the system usually cannot automatically identify this situation and fails to further optimize the reminder strategy. Such defects are likely to bring negative impacts, such as the expiration and invalidation of intellectual property due to lack of timely reminder, or the decline of the user experience of the service provider due to too many ineffective reminders. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides an intellectual property trusteeship service system, which solves the problems in the above-mentioned background art.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: an intellectual property trusteeship service system, including a data collection module, a data processing module, an importance evaluation module, and an expiration reminder module; The data acquisition module is used to utilize a third - party intellectual property database to monitor the entrusted services responsible by the hosting service provider in real - time, so as to generate relevant entrusted data information, and generate relevant resource data information according to the customer groups of the hosting service provider; The data processing module is used to perform data pre - processing on the relevant entrusted data information and relevant resource data information. The data pre - processing includes data cleaning, data normalization and data storage, and uses the data after data pre - processing as the hosting service data set; The importance evaluation module is used to establish a hosting service model for the hosting service data set using deep - learning technology to analyze the importance of corresponding customers for the hosting service provider to handle business, construct a value contribution factor Jgyz, and combine relevant entrusted data information to generate a reminder interval decay coefficient Sjxs. Based on the reminder interval decay coefficient Sjxs, determine the interval status of the deadline reminder, and trigger a deadline reminder instruction; The due reminder module will, based on the deadline reminder instructions triggered in each period, monitor the response of the hosting service provider in real - time after triggering to generate relevant response data information, and dynamically adjust the deadline reminder interval Qtjg on the basis of the importance evaluation module to optimize the hosting service.

[0007] Preferably, the data acquisition module includes a database docking unit, an entrusted business monitoring unit and a resource monitoring unit; The database docking unit establishes a data interface connection with the API interface of the third - party intellectual property database by using RESTful API; The entrusted business monitoring unit is used to obtain the intellectual property data entrusted by the hosting service provider in real - time to generate relevant entrusted data information. The relevant entrusted data information includes the hosting type of intellectual property, registration time, legal status, remaining validity period of the intellectual property business handled by the corresponding customer in the corresponding reminder period 、the maximum validity period of the intellectual property business handled by the corresponding customer 、the preset initial deadline reminder interval 、renewal application and life cycle. Among them, the hosting type includes the registration information and expiration time reminder of patents, trademarks and copyrights; The resource monitoring unit is used to generate relevant resource data information according to the customer groups of the hosting service provider. Among them, the relevant resource data information includes the cooperation time of each customer served by the hosting service provider, the number of hosting assets of the corresponding customer 、the total income value brought by the corresponding customer to the hosting service provider 、the renewal rate of the corresponding customer 、industry distribution and market scale information.

[0008] Preferably, the data processing module includes a preprocessing unit and a storage unit; The preprocessing unit is used to perform data preprocessing on relevant entrusted data information and relevant resource data information. The data preprocessing includes data cleaning and data normalization to generate a managed service data set. Among them, data cleaning includes removing noise in the relevant entrusted data information and relevant resource data information, filling missing values using the interpolation method, and data smoothing operations; data normalization includes using the Z-score normalization method to normalize the managed service data set after data cleaning; The storage unit is used to store and manage the relevant entrusted data information and relevant resource data information that have been collected and preprocessed, and perform regular backups. Among them, storage management will establish a connection with the database, use SQL query statements to obtain data tables with the same data types as those in the managed service data set, and after the data table matching is completed, write the managed service data set into the corresponding data table through SQL insert statements, and finally set system access permissions.

[0009] Preferably, the importance evaluation module includes a service group analysis unit, an interval trend setting unit, and a basic reminder unit; The service group analysis unit is used to use the data information in the managed service data set as the input of the training set, and train it using the managed service model established by deep learning technology, analyze the importance of the corresponding customers for handling business with the managed service provider, and after linear normalization processing, construct the value contribution factor Jgyz of the corresponding customers. Specifically, it is obtained in the following way: In the formula, represents the total income value brought by the i-th customer to the managed service provider, represents the renewal rate of the i-th customer, represents the number of managed assets of the i-th customer, , and are all weight values, represents the first correction constant, and i represents the customer number.

[0010] Preferably, the interval trend setting unit is used to generate a reminder interval decay coefficient Sjxs according to the value contribution factor Jgyz of the corresponding customers and in combination with relevant entrusted data information. The reminder interval decay coefficient Sjxs is obtained through the following formula: In the formula, represents the initial decay coefficient, represents the value contribution factor of the i-th customer, It represents the maximum validity period for handling intellectual property services entrusted by the i-th customer. It represents the remaining validity period for handling intellectual property services entrusted by the i-th customer at the j-th reminder.

[0011] Preferably, according to the reminder interval attenuation coefficient Sjxs and different stages of the remaining validity period Syq of the intellectual property service handling entrusted by the corresponding customer, analyze the fluctuation determination of the due reminder within the validity period of the intellectual property service handling entrusted by the corresponding customer to obtain the reminder interval Qtjg for each reminder. The specific method for obtaining is as follows: In the formula, It represents the reminder interval Qtjg for the intellectual property service handling entrusted by the i-th customer at the j-th reminder; It represents the Euler number; It represents the initial reminder interval, It represents the reminder interval attenuation coefficient for the intellectual property service handling entrusted by the i-th customer at the j-th reminder, It represents the remaining number of days from the j-th reminder to the next reminder date; j represents the serial number of the reminder times.

[0012] Preferably, the basic reminder unit is used to trigger a due reminder instruction within the remaining validity period Syq of the intellectual property service handling entrusted by the corresponding customer according to the obtained reminder interval Qtjg, and record the time stamp of each trigger of the due reminder instruction.

[0013] Preferably, the due reminder module includes a feedback collection unit and a dynamic adjustment unit; The feedback collection unit is used to monitor the response situation of the trustee service provider to each issued due reminder instruction according to each triggered due reminder instruction in the importance evaluation module to generate relevant response data information. The relevant response data information includes that the trustee service provider responds to the corresponding due reminder instruction, does not respond, and does not respond twice in a row; based on the relevant response data information, construct a response function Xy: The meaning of this formula is: if the number of responses , it means that the trustee service provider has responded to the corresponding due reminder instruction, and at this time the response function Xy takes the value of +1; similarly, if the number of responses , it means that the trustee service provider has not responded to the corresponding due reminder instruction twice in a row, and at this time the response function Xy takes the value of ; if the number of responses , it means that the trustee service provider has not responded to the corresponding due reminder instruction, and at this time the response function Xy takes the value of ; wherein, is expressed as the number of response times.

[0014] Preferably, the dynamic adjustment unit is used to dynamically adjust the next deadline reminder interval Qtjg on the basis of the basic reminder unit by combining relevant response data information, and is specifically obtained in the following manner: Explanation: When the response function Xy takes the value of +1, this formula does not hold. When the response function Xy takes the value of or 0, this formula holds; In the formula, represents the deadline reminder interval for the intellectual property business handled by the i-th customer at the (j + 1)-th reminder; represents the deadline reminder interval for the intellectual property business handled by the i-th customer at the j-th reminder; h represents the average ratio for shortening the deadline reminder interval each time during the previous j reminders; represents the response function for the intellectual property business handled by the i-th customer at the j-th reminder.

[0015] The present invention provides an intellectual property trusteeship service system, which has the following beneficial effects:

[0016] (1) By connecting to the third-party intellectual property database in real time through the data acquisition module, the system can automatically obtain the latest intellectual property information. This real-time monitoring function enables the trusteeship service provider to immediately grasp the dynamic status of the customers' intellectual property, further avoiding problems such as overdue non-renewal or untimely status update caused by the omission of manual monitoring, and improving the reliability and accuracy of the data. The importance evaluation module analyzes the importance of customers through deep learning technology, and calculates the customer value contribution factor Jgyz and the reminder interval attenuation coefficient Sjxs based on the trusteeship service data set. This intelligent analysis method enables the system to customize the reminder frequency for each customer according to the importance and specific business situation of the customer. Especially through the dynamic adjustment of the reminder interval attenuation coefficient Sjxs, more frequent reminders can be set for important customers or key businesses to ensure that these high-priority intellectual properties receive more timely attention, thereby more accurately meeting the customer needs. Through the cooperation of the due reminder module and the feedback management module, the system can dynamically adjust the subsequent reminder interval Qtjg according to the actual response situation of the trusteeship service provider. When the trusteeship service provider does not respond or responds late, the system automatically shortens the reminder interval and increases the reminder frequency. This adaptive reminder optimization mechanism improves the service efficiency, not only reducing the risk of customer loss, but also optimizing the customer reminder experience, ensuring that the system provides a more efficient trusteeship management service with less manual intervention.

[0017] (2) The service group analysis unit can enable the hosting service provider to better optimize the allocation of service resources and prioritize focusing on high-value customers through the calculated value contribution factor Jgyz. The interval trend setting unit calculates the reminder interval decay coefficient Sjxs based on the value contribution factor Jgyz of the customer, combined with the maximum validity period and the current remaining validity period of the intellectual property. This decay coefficient is adjusted with the changes in the value contribution factor and the remaining validity period, enabling the reminder frequency to dynamically change according to the importance of the customer and the expiration time of the intellectual property. Through this flexible interval adjustment mechanism, high-value customers and intellectual properties approaching expiration can receive more frequent reminders. This intelligent reminder strategy helps reduce the risk of customer intellectual property expiration and improve the response efficiency of the hosting service.

[0018] (3) The system dynamically adjusts the reminder frequency during the life cycle of the intellectual property, so that the reminder frequency gradually increases as the expiration approaches, and decreases appropriately when the expiration time is far away. This function ensures that customers can receive effective reminders at the appropriate time and reduces the risk of important notifications being ignored. Combined with the feedback collection unit, the system can monitor the response of the hosting service provider to each deadline reminder instruction in real time and collect data including responses, non-responses, and consecutive non-responses. According to the response situation of each reminder, the system generates a response function to quantitatively represent the response status of the customer. Through this real-time monitoring mechanism, the system can clearly understand the actual needs of the hosting service provider for reminders, avoid blindly increasing or decreasing the reminder frequency, and this data-driven reminder strategy improves the accuracy of reminders, enabling customers to receive an appropriate amount of reminders at the right time. Based on the initially set reminder interval, it can achieve intelligent adjustment of the next reminder interval. Brief Description of the Drawings

[0019] Figure 1 It is a block diagram of an intellectual property hosting service system of the present invention. Detailed Embodiments

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Embodiment 1

[0022] Please refer to Figure 1 , the present invention provides an intellectual property hosting service system, including a data collection module, a data processing module, an importance evaluation module, and an expiration reminder module; The data acquisition module is used to utilize a third-party intellectual property database to monitor the entrusted services responsible by the hosting service provider in real time, generate relevant entrusted data information, and generate relevant resource data information according to the customer groups of the hosting service provider; The data processing module is used to perform data preprocessing on the relevant entrusted data information and relevant resource data information. The data preprocessing includes data cleaning, data normalization, and data storage, and the data after data preprocessing is used as the hosting service data set; The importance evaluation module is used to establish a hosting service model for the hosting service data set using deep learning technology to analyze the importance of corresponding customers for handling business with the hosting service provider, construct a value contribution factor Jgyz, and generate a reminder interval decay coefficient Sjxs in combination with the entrusted business status of the corresponding customers. Based on the reminder interval decay coefficient Sjxs, determine the interval status of the deadline reminder, and trigger a deadline reminder instruction; The expiration reminder module will, based on the deadline reminder instructions triggered in each period, monitor the response of the hosting service provider in real time after triggering to generate relevant response data information, and dynamically adjust the deadline reminder interval Qtjg on the basis of the importance evaluation module to optimize the hosting service.

[0023] During the operation of this system, by connecting the data acquisition module with a third-party intellectual property database, the system can obtain the entrusted business data responsible by the custodian service provider in real time, and generate corresponding resource data according to the customer groups. This real-time monitoring mechanism further improves the timeliness and accuracy of the data, ensuring that the custodian can promptly grasp the dynamic status of customer assets, and further reducing management loopholes or delays caused by data lag. After collecting the data, the data processing module performs preprocessing operations such as data cleaning, normalization, and storage, integrating various types of data into a unified custodian service data set, making the data more standardized and structured. This process eliminates data noises such as duplicate data and outliers, improving the reliability and consistency of the data, and providing high-quality basic data for subsequent analysis. The importance assessment module establishes a custodian service model based on deep learning technology, analyzes the value contribution of customers to the custodian business, and generates a reminder interval decay coefficient Sjxs. By calculating the importance level Jgyz of customers and combining with the business situation, the system can intelligently adjust the reminder frequency to ensure reminders at important time nodes, thereby preventing business risks caused by expiration or negligence. The expiration reminder module monitors the response situation of the custodian in real time based on the term reminder instruction, records the response data and feeds it back to the importance assessment module. Through the dynamic monitoring of the response situation, the system adaptively adjusts the reminder interval Qtjg to ensure that while the reminder frequency increases over time, it is adaptively adjusted according to the importance of the customer and the response habits of the custodian service provider. Through this feedback mechanism, the system can effectively reduce unnecessary reminder frequencies, improve the accuracy and timeliness of reminders, and make the custodian service more personalized and intelligent. In summary, the overall system design optimizes the intellectual property custodian process, reduces manual intervention through intelligent monitoring and adaptive reminders, and improves work efficiency; at the same time, the reminder frequency is dynamically adjusted according to the business importance of the customer and the response situation of the custodian service provider, which helps to improve customer satisfaction with the service, further avoid troubles caused by omission or over-reminder, and increase customer trust and dependence on the custodian service.

[0024] Embodiment 2

[0025] Please refer to Figure 1 , specifically: the data acquisition module includes a database docking unit, an entrusted business monitoring unit, and a resource monitoring unit; The database docking unit establishes a data interface connection with the API interface of the third-party intellectual property database by using RESTful API, realizes real-time communication with external data sources, and ensures the timeliness and accuracy of the data; The entrusted business monitoring unit is used to obtain the intellectual property data entrusted by the custody service provider in real time to generate relevant entrusted data information, and the relevant entrusted data information includes the custody type of intellectual property, registration time, legal status, and the remaining validity period of the intellectual property business handled by the corresponding customer within the corresponding reminder period and the maximum validity period of the intellectual property business handled by the corresponding customer and the preset initial term reminder interval and renewal applications and life cycles. Among them, the custody type includes the registration information and expiration time reminder of patents, trademarks, and copyrights; The resource monitoring unit is used to generate relevant resource data information according to the customer groups of the custody service provider. Among them, the relevant resource data information includes the cooperation time of each customer served by the custody service provider, the number of custody assets of the corresponding customer and the total income value brought by the corresponding customer to the custody service provider and the renewal rate of the corresponding customer and industry distribution and market scale information. This relevant resource data information provides support for personalized services and intelligent reminder strategies.

[0026] The above-mentioned number of custody assets of the corresponding customer Obtain the number of intellectual property rights entrusted by each customer in the system from a third-party intellectual property database.

[0027] The total income value brought by the corresponding customer to the custody service provider By docking with the financial database of the custody service provider, the system can directly obtain the cumulative income generated by each customer in the custody service provider. The income data includes the cumulative amount of service fees such as intellectual property registration, renewal, and rights protection.

[0028] The renewal rate of the corresponding customer By mastering the number of renewals and renewal requirements of customers in the past period of time, calculate the renewal rate of customers.

[0029] The data processing module includes a preprocessing unit and a storage unit; The preprocessing unit is used to perform data preprocessing on the relevant entrusted data information and relevant resource data information. The data preprocessing includes data cleaning and data normalization to generate a custody service data set. Among them, data cleaning includes removing noise in the relevant entrusted data information and relevant resource data information, filling missing values using the interpolation method, and data smoothing operations to ensure the integrity of the data; data normalization includes using the Z-score standardization method to normalize the custody service data set after data cleaning; The storage unit is used to store and manage the relevant entrusted data information and relevant resource data information that have been collected and pre-processed, and perform regular backups to ensure the security and traceability of the data. Among them, the storage management will establish a connection with the database. Here, the database is the database established by this system, and SQL query statements are used to obtain data tables with the same data types as those in the entrusted service data set. This step ensures that the data is stored by category, facilitating subsequent queries and management. At the same time, after the data table matching is completed, the entrusted service data set is written into the corresponding data table through SQL insert statements. This step ensures that all data can be accurately saved into the database for system calls. Finally, the system access permissions are set. The purpose of this step is to ensure that only authorized users or system modules can access these data, preventing unauthorized access or data leakage.

[0030] In this embodiment, the efficiency and real-time performance of data acquisition: By establishing a RESTful API connection between the database docking unit in the data acquisition module and the third-party intellectual property database, real-time communication with external data sources is achieved. This not only ensures the timeliness and accuracy of the entrusted business data of the entrusted service provider, but also enables real-time monitoring of the entrusted business status. For example, the entrusted business monitoring unit can obtain key information such as the intellectual property trusteeship type, legal status, and expiration time of customers in real time, so as to quickly respond to customer needs, update the status, and generate reminder information, greatly improving the response efficiency of intellectual property trusteeship services. Data cleaning and standardization processing improve data quality: In the data processing module, the preprocessing unit performs data cleaning and normalization processing on the relevant entrusted data and resource data, which can effectively remove noise, fill in missing values, and keep the data consistent through the Z-score standardization method. This processing method greatly improves the integrity and standardization of the data, ensures the accuracy of the data in subsequent analysis and reminder calculations, and further avoids reminder errors and management risks caused by data anomalies or inconsistencies. This process ensures the quality of the entrusted service data set and lays a solid foundation for intelligent business analysis and reminder strategies. The security and traceability are enhanced to ensure data storage management: The storage unit performs structured storage and regular backups on the data that has been collected and pre-processed, ensuring the security and traceability of the data. The cleaned data is written into the corresponding data tables of the database through SQL queries and insert statements, and the category storage method is used to facilitate quick queries and subsequent calls. In addition, the system sets strict access permissions, and only authorized users or system modules can access the stored data, ensuring the privacy and security of the data, preventing unauthorized access or data leakage. This highly secure storage management effectively protects the security of customers and intellectual property data, and at the same time provides a stable and reliable data storage foundation for the entrusted service.

[0031] Embodiment 3

[0032] Please refer to Figure 1 , specifically: the importance evaluation module includes a service group analysis unit, an interval trend setting unit, and a basic reminder unit; The service group analysis unit is used to input the data information in the managed service data set as the training set, and train it with the managed service model established using deep learning technology, analyze the importance of the corresponding customers for handling business with the managed service provider, and after linear normalization processing, construct the value contribution factor Jgyz of the corresponding customers. Specifically, it is obtained in the following manner: In the formula, represents the total income value brought by the i-th customer to the managed service provider, represents the renewal rate of the i-th customer, represents the number of managed assets of the i-th customer, , and are all weight values, represents the first correction constant, i represents the customer number, where 0 < < 1, 0 < < 1, 0 < < 1, and , by using the logarithmic function, can smooth the influence of the total income and further avoid the over-amplification of the scores of high-income customers.

[0033] The interval trend setting unit is used to generate a reminder interval decay coefficient Sjxs according to the value contribution factor Jgyz of the corresponding customers and in combination with relevant entrusted data information. The reminder interval decay coefficient Sjxs is obtained through the following formula: In the formula, represents the initial decay coefficient, represents the value contribution factor of the i-th customer, represents the maximum valid period for handling the entrusted intellectual property business of the i-th customer, represents the remaining valid period of the entrusted intellectual property business handling of the i-th customer at the j-th reminder.

[0034] Among them, the initial decay coefficient can be obtained through the following formula: Among them, represents the initial term reminder interval in advance, represents the initial expected average reminder frequency, It represents the remaining validity period of the intellectual property business entrusted by the i-th customer at the j-th reminder; ln is the symbol of the natural logarithm, representing the logarithm with base e.

[0035] In this embodiment, intelligent analysis of customer value is carried out to improve the accuracy of resource allocation: The service group analysis unit uses deep learning technology to establish a trusteeship service model. Through the analysis of the trusteeship service data set, it intelligently evaluates the importance of customers to the trusteeship service provider. By using the information after data processing as the training set, the system can construct a value contribution factor Jgyz that reflects customer value, accurately quantify the business contribution degree of each customer to the trusteeship service provider. Through this factor evaluation, the service priorities of different customers are clearer, which helps the trusteeship service provider to reasonably allocate resources and focus on customers who contribute more in multiple dimensions such as income, renewal rate, and trusteeship assets, thus improving the pertinence of management and the efficiency of resource utilization; Personalized reminder interval setting to improve customer experience and management efficiency: The interval trend setting unit generates a dedicated reminder interval decay coefficient Sjxs for each customer based on the customer's value contribution factor Jgyz and in combination with the relevant entrusted data information of intellectual property rights. This coefficient is calculated through the initial decay coefficient, customer value contribution, and the validity period of the business, realizing personalized adjustment of the reminder frequency for each customer. Through the fine control of the reminder interval decay coefficient, the system can provide higher-frequency reminders for high-value customers when the intellectual property rights are approaching expiration, thus ensuring timely attention to key businesses, while reasonably extending the reminder frequency for low-priority customers to avoid excessive ineffective reminders and improving the reminder experience of customers. Automatically adjust the reminder frequency to ensure the full life cycle management of intellectual property rights: The system can automatically adjust the reminder according to the personalized reminder interval generated by the decay coefficient Sjxs for the life cycle stage of intellectual property rights. As the intellectual property rights approach expiration or the life cycle shortens, the reminder frequency automatically increases to ensure concentrated attention before expiration and reduce the risk of expiration due to negligence. This module dynamically combines the reminder frequency with customer value and business validity period, realizing the full process optimization of intellectual property management, enabling the trusteeship service provider to understand the dynamic status of customers' intellectual property rights in real time at each stage, improving management efficiency while ensuring the improvement of the quality of trusteeship services.

[0036] Embodiment 4

[0037] Please refer to Figure 1 , specifically: According to the different stages of the reminder interval decay coefficient Sjxs and the remaining validity period Syq of the intellectual property business entrusted by the corresponding customer, analyze the fluctuation determination of the expiration reminder for the intellectual property business entrusted by the corresponding customer within the validity period to obtain the term reminder interval Qtjg for each reminder. The specific method for obtaining it is as follows: In the formula, It represents the reminder interval of the intellectual property business entrusted by the i-th customer at the j-th reminder. It represents the Euler number, with a numerical value approximately equal to 2.71828. It represents the initial reminder interval. It represents the reminder interval attenuation coefficient of the intellectual property business entrusted by the i-th customer at the j-th reminder. It represents the remaining days from the j-th reminder to the next reminder date, that is, the time span of the reminder interval; j represents the serial number of the reminder times.

[0038] The basic reminder unit is used to trigger a deadline reminder instruction within the remaining validity period Syq of the intellectual property business entrusted by the corresponding customer according to the obtained deadline reminder interval Qtjg, and record the time stamp of each trigger of the deadline reminder instruction.

[0039] In this embodiment, the dynamically fluctuating reminder interval improves the reminder accuracy: The system flexibly determines the deadline reminder interval Qtjg for each reminder according to the different stages of the reminder interval attenuation coefficient Sjxs and the remaining validity period Syq. By introducing an exponential function into the formula, the system can adjust the reminder interval in a fluctuating manner according to the remaining validity period of the intellectual property, ensuring that the reminder frequency gradually increases when the validity period is approaching the end. Compared with the traditional fixed-interval reminder method, this dynamically fluctuating reminder strategy is more flexible and intelligent, can more accurately cover each critical moment before the expiration, and effectively improve the timeliness and response effect of the reminder. Intelligent deadline reminder trigger: The basic reminder unit automatically triggers a deadline reminder instruction within the remaining validity period of the customer's intellectual property business according to the dynamically calculated deadline reminder interval Qtjg, and records the time stamp of each reminder. Through this automated trigger mechanism, the system can ensure the timing and accuracy of the reminder, while reducing the burden of manual monitoring. As the expiration of the intellectual property approaches, the system can shorten the reminder interval, so as to remind the custodian service provider to pay attention to the expiration status of the intellectual property multiple times at appropriate time nodes, and reduce the expiration risk as much as possible. Reduce ineffective reminders and improve the customer experience: The system can appropriately extend the reminder interval when the remaining validity period is relatively long through the exponential decay adjustment of the reminder interval, avoid unnecessary frequent reminders, and reduce the interference to the custodian service provider. In the critical stage when the intellectual property is about to expire, the reminder frequency gradually increases to ensure that the customer can receive timely reminders at the moments when they most need to pay attention. This optimized design not only improves the customer experience but also further avoids the redundancy of reminders.

[0040] Embodiment 5

[0041] Please refer to Figure 1 Specifically: The expiration reminder module includes a feedback collection unit and a dynamic adjustment unit. The feedback collection unit is used to monitor the response of the managed service provider to each issued deadline reminder instruction according to the deadline reminder instructions triggered each time in the importance assessment module, so as to generate relevant response data information. The relevant response data information includes that the managed service provider responds to the corresponding deadline reminder instruction, does not respond, and fails to respond twice consecutively. Based on the relevant response data information, a response function Xy is constructed: The meaning of this formula is: If the number of responses , it means that the managed service provider has responded to the corresponding deadline reminder instruction. At this time, the value of the response function Xy is +1. Similarly, if the number of responses , it means that the managed service provider has failed to respond to the corresponding deadline reminder instruction twice consecutively. At this time, the value of the response function Xy is ; If the number of responses , it means that the managed service provider has not responded to the corresponding deadline reminder instruction. At this time, the value of the response function Xy is ; Among them, represents the number of responses. Here, the number of responses refers to when the managed service provider responds to the corresponding deadline reminder instruction, the value is +1 at this time; when the managed service provider does not respond to the corresponding deadline reminder instruction, the value is 0 at this time; when the managed service provider fails to respond to the corresponding deadline reminder instruction twice consecutively, the value is -1 at this time; Among them, response refers to timely processing and business processing within the specified time; The dynamic adjustment unit is used to dynamically adjust the next deadline reminder interval Qtjg on the basis of the basic reminder unit, in combination with the relevant response data information, and is specifically obtained in the following manner: Explanation: When the value of the response function Xy is +1, this formula does not hold. When the value of the response function Xy is or 0, this formula holds; In the formula, represents the deadline reminder interval for the intellectual property business handled by the i-th customer at the (j + 1)-th reminder; represents the deadline reminder interval for the intellectual property business handled by the i-th customer at the j-th reminder; h represents the average ratio for shortening the deadline reminder interval each time during the previous j reminders; represents the response function for the intellectual property business handled by the i-th customer at the j-th reminder.

[0042] In this embodiment, effective response monitoring and data feedback: Through the feedback acquisition unit, the system can collect the response of the hosting service provider in real time according to each triggered deadline reminder instruction. The feedback acquisition unit not only monitors the response of the hosting service provider to the reminder instruction, but also records the situation of non-response or consecutive non-response, generating comprehensive response data information. These data are quantified in the system in the form of a response function, which can accurately reflect the degree of attention and behavior pattern of the hosting service provider to the reminder, thus providing data support for subsequent reminder optimization. The effective response monitoring and feedback mechanism ensures that the system can adjust the reminder strategy in a timely manner when there are delays or non-responses, preventing key reminders from being ignored. Adaptive reminder frequency based on response behavior: The dynamic adjustment unit, based on the reminder interval set by the basic reminder unit, combines the response data information of the feedback acquisition unit to intelligently adjust the next deadline reminder interval. When the hosting service provider responds actively to the previous reminder, the system automatically stops the reminder operation; on the contrary, in the case of consecutive non-responses, the system will increase the reminder frequency by shortening the reminder interval to ensure that important information is not overlooked. This adaptive reminder frequency adjustment mechanism based on response behavior enables the system to adapt to the response needs of customers in a timely manner, avoiding over-reminder or under-reminder and improving service efficiency. In addition, each dynamic adjustment of the reminder instruction is supported by data records and analysis, providing a data basis for the improvement of future reminder strategies. This flexible reminder management mechanism not only reduces the need for manual intervention, but also significantly improves the refinement and intelligence level of the hosting service, ensuring the efficient management of intellectual property services.

[0043] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intellectual property rights trusteeship service system, characterized by: It includes data collection module, data processing module, importance assessment module and expiration reminder module; The data collection module is used to utilize the third-party intellectual property database to monitor the entrusted business that the hosting service provider is responsible for in real time to generate relevant entrusted data information, and to generate relevant resource data information based on the customer groups of the hosting service provider; The data processing module is used to perform data preprocessing on the relevant entrusted data information and the relevant resource data information, wherein the data preprocessing includes data cleaning, data normalization and data storage, and the data after data preprocessing is used as the hosting service data set; The importance assessment module is used to establish a hosting service model using deep learning technology for the hosting service data set, so as to analyze the importance of the corresponding customer to the hosting service provider in handling business, construct the value contribution factor Jgyz, and generate the reminder interval decay coefficient Sjxs in combination with the relevant entrustment data information, and determine the interval state of the deadline reminder based on the reminder interval decay coefficient Sjxs, and trigger the deadline reminder instruction; The expiration reminder module will monitor the response of the hosting service provider after the triggering in real time based on the deadline reminder instructions triggered in each time period to generate relevant response data information, and dynamically adjust the deadline reminder interval Qtjg based on the importance assessment module to optimize the hosting service.

2. The intellectual property rights trusteeship service system according to claim 1, characterized in that: The data acquisition module includes a database docking unit, a commissioned business monitoring unit and a resource monitoring unit; The database docking unit establishes a data interface connection with an API interface of a third-party intellectual property database by utilizing a RESTful API; The entrusted business monitoring unit is used to obtain the intellectual property data entrusted by the trustee service provider in real time to generate relevant entrusted data information, which includes the trusteeship type, registration time, legal status of the intellectual property, and the remaining validity period of the intellectual property business entrusted by the corresponding customer during the corresponding reminder period. , the maximum validity period of the intellectual property business entrusted by the corresponding customer , Pre-set initial deadline reminder interval , renewal application and life cycle, wherein the managed types include registration information and expiration time reminders of patents, trademarks, and copyrights; The resource monitoring unit is used to generate relevant resource data information according to the customer group of the hosting service provider, wherein the relevant resource data information includes the cooperation time of each customer served by the hosting service provider, the number of managed assets of the corresponding customer, , the total revenue value brought by the corresponding customers to the hosting service provider , the renewal rate of corresponding customers , industry distribution and market size information.

3. The intellectual property rights trusteeship service system according to claim 2, characterized in that: The data processing module includes a preprocessing unit and a storage unit; The preprocessing unit is used to perform data preprocessing on the relevant entrusted data information and the relevant resource data information, wherein the data preprocessing includes data cleaning and data normalization to generate a trusteeship service data set, wherein data cleaning includes removing noise in the relevant entrusted data information and the relevant resource data information, and using interpolation to fill missing values ​​and data smoothing operations; data normalization includes using a Z-score standardization method to normalize the trusteeship service data set after data cleaning; The storage unit is used to store and manage the relevant entrusted data information and relevant resource data information that have been collected and pre-processed, and to back them up regularly. The storage management will establish a connection with the database and use SQL query statements to obtain data tables with the same data type as the hosted service data set. After the data table matching is completed, the hosted service data set will be written into the corresponding data table through SQL insert statements, and finally the system access rights will be set.

4. The intellectual property rights trusteeship service system according to claim 3, characterized in that: The importance assessment module includes a service group analysis unit, an interval trend setting unit and a basic reminder unit; The service group analysis unit is used to use the data information in the hosting service data set as the input of the training set, and train the hosting service model established by deep learning technology, analyze the importance of the corresponding customer to the hosting service provider in handling business, and construct the value contribution factor Jgyz of the corresponding customer after linear normalization processing, which is specifically obtained in the following way: In the formula, It is the total revenue value brought by the i-th customer to the hosting service provider. It is represented as the renewal rate of the i-th customer, It is represented by the amount of managed assets of the i-th customer, , and are weight values, It is represented as the first correction constant, and i represents the customer number.

5. The intellectual property rights trusteeship service system according to claim 4, characterized in that: The interval trend setting unit is used to generate a reminder interval attenuation coefficient Sjxs according to the value contribution factor Jgyz of the corresponding customer and in combination with relevant entrustment data information. The reminder interval attenuation coefficient Sjxs is obtained by the following formula: In the formula, is expressed as the initial attenuation coefficient, Expressed as the value contribution factor of the i-th customer, Indicates the maximum validity period of the intellectual property business entrusted by the i-th customer. It indicates the remaining validity period of the intellectual property business entrusted by the i-th customer at the time of the j-th reminder.

6. The intellectual property rights trusteeship service system according to claim 5, characterized in that: According to the reminder interval attenuation coefficient Sjxs and the different stages of the remaining validity period Syq of the intellectual property business entrusted by the corresponding customer, the intellectual property business entrusted by the corresponding customer is analyzed within the validity period, and the fluctuation of the expiration reminder is determined to obtain the deadline reminder interval Qtjg of each reminder, which is obtained in the following way: In the formula, It represents the deadline reminder interval for the intellectual property business entrusted by the i-th customer at the j-th reminder; Expressed as Euler number; Represents the initial deadline reminder interval, It represents the reminder interval attenuation coefficient of the intellectual property business entrusted by the i-th customer at the j-th reminder, Indicates the number of days remaining from the jth reminder to the next reminder date; j represents the number of reminders.

7. The intellectual property rights trusteeship service system according to claim 6, characterized in that: The basic reminder unit is used to trigger a deadline reminder instruction within the remaining validity period Syq of the intellectual property business entrusted by the corresponding customer according to the acquired deadline reminder interval Qtjg, and record the timestamp of each deadline reminder instruction triggering.

8. The intellectual property rights trusteeship service system according to claim 7, characterized in that: The expiration reminder module includes a feedback collection unit and a dynamic adjustment unit; The feedback collection unit is used to monitor the response of the hosting service provider to each deadline reminder instruction issued according to each deadline reminder instruction triggered in the importance assessment module, so as to generate relevant response data information, wherein the relevant response data information includes whether the hosting service provider responds to the corresponding deadline reminder instruction, does not respond, and does not respond twice in a row; Based on the relevant response data information, construct the response function Xy: The meaning of this formula is: if the number of responses , it means that the hosting service provider has responded to the corresponding deadline reminder instruction, and the response function Xy takes the value of +1; similarly, if the response times , it means that the hosting service provider has not responded to the corresponding deadline reminder instruction twice in a row. At this time, the response function Xy takes the value ; If the number of responses , it means that the hosting service provider has not responded to the corresponding deadline reminder instruction. In this case, the response function Xy takes the value ;in, Expressed as the number of responses.

9. The intellectual property rights trusteeship service system according to claim 8, characterized in that: The dynamic adjustment unit is used to dynamically adjust the next deadline reminder interval Qtjg based on the basic reminder unit and in combination with relevant response data information, which is specifically obtained in the following manner: Explanation: When the response function Xy takes the value of +1, this formula does not hold. When the response function Xy takes the value of Or 0, this formula is valid; In the formula, It represents the deadline reminder interval for the intellectual property business entrusted by the i-th customer at the j+1th reminder; represents the deadline reminder interval for the intellectual property business entrusted by the i-th customer at the j-th reminder; h represents the average ratio of shortening the deadline reminder interval for the first j reminders; It represents the response function of the jth reminder for the intellectual property business entrusted by the i-th customer.

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