Dynamic Personalized Navigation Connection Optimization System Based on Intent Depth Judgment

Abstract

A dynamic personalized navigation link optimization system based on intent depth judgment is disclosed. An intent depth module is connected to both a behavior tracking module and a navigation link module. A navigation link feedback module is connected to both the intent depth module and the navigation link module. A navigation link optimization module is connected to both the navigation link feedback module and the navigation link module. A bank server collects and identifies user identity information from browsing behavior information on website pages. When browsing behavior information is determined to be non-high-intent interaction behavior, the bank server will present at least one navigation link from at least one service block on the next page of the website page as a preset link. When browsing behavior information is determined to be high-intent interaction behavior, the bank server will dynamically select at least one navigation link from at least one service block on the next page of the website page to facilitate the operation link corresponding to the high-intent interaction behavior, replacing the preset link.

Description

Dynamic Personalized Navigation Connection Optimization System Based on Intent Depth Judgment Technical Field

[0001] This invention relates to a website page link optimization system, specifically a personalized navigation link optimization system that uses user browsing behavior information to deeply determine intent and dynamically adjusts the operation guidance links on the website page based on high-intent interaction behavior. Prior Technology

[0002] With the widespread adoption of online banking and mobile financial services, the operational paths, browsing content, and interaction depth of bank customers on different website pages are increasingly becoming important criteria for judging their needs and planning personalized services. This also allows for further analysis of whether personalized, precise marketing has been achieved. Currently, most banks primarily provide service options to users through general menu navigation or static page configurations. They cannot instantly determine the intensity of a user's needs based on their browsing behavior on website pages (e.g., dwell time, clicks, or calculations), thus lacking personalized, precise marketing. This design not only lacks precision but may also prevent users from quickly accessing the services they actually need, thereby reducing application completion rates and conversion rates.

[0003] On the other hand, although some service websites have implemented basic personalized recommendation mechanisms, these are usually based solely on historical data and are statically or periodically updated, making it difficult to dynamically respond to users' current behavior. Furthermore, existing technologies lack feedback mechanisms on the effectiveness of the referral links themselves, making it impossible to compare the actual conversion performance of different link groups or to adjust the model parameters used for intent judgment based on conversion results. This results in insufficient matching between intent judgment and actual user behavior, meaning a lack of precise personalized marketing.

[0004] In summary, it is evident that previous technologies have long suffered from the inability to instantly determine user intent depth based on browsing behavior, the inability to dynamically replace guiding links based on high-intent behavior, and the inability to reverse-optimize intent models from link conversion results to achieve precise marketing. Therefore, it is necessary to propose improved technical means to solve this problem. Summary of the Invention

[0005] In view of the problems of previous technologies, such as the inability to instantly determine the depth of user intent based on browsing behavior, the inability to dynamically replace navigation links based on high-intent behavior, and the inability to reverse-optimize the intent model from link conversion results to achieve precise marketing, this invention discloses a dynamic personalized navigation link optimization system based on intent depth determination, wherein:

[0006] First, this work discloses a dynamic personalized navigation link optimization system based on intent depth judgment. This system includes: a bank server, which further includes: a behavior tracking module, an intent depth module, and a navigation link module.

[0007] The bank server's behavior tracking module collects and identifies user identity information from browsing behavior on website pages. The bank server's intent depth module is connected to the behavior tracking module to determine whether the user's browsing behavior on website pages constitutes high-intent interaction. When a user's identity information is repeatedly identified as high-intent interaction within a predetermined period without corresponding conversion, the module strengthens the criteria for identifying the user's browsing behavior on website pages, thereby reducing the likelihood of it being identified as high-intent interaction. The bank server's navigation link module is also connected to the intent depth module. When the intent depth module determines the browsing behavior to be non-high-intent interaction, at least one navigation link in at least one service block on the subsequent website page is presented as a preset link. When the intent depth module determines the browsing behavior to be high-intent interaction, at least one navigation link in at least one service block on the subsequent website page dynamically selects and replaces the preset link with an operation link corresponding to the high-intent interaction.

[0008] The system disclosed in this work is as described above. The bank server collects and identifies user identity information from browsing behavior information on website pages. When the browsing behavior information is judged to be non-high-intent interaction behavior, the bank server will present at least one navigation link in at least one service block on the next page of the website page as a preset link. When the browsing behavior information is judged to be high-intent interaction behavior, the bank server will dynamically select at least one navigation link in at least one service block on the next page of the website page to facilitate the operation link corresponding to the high-intent interaction behavior, replacing the preset link. This allows the bank server to provide differentiated and dynamic service guidance for different users.

[0009] Through the aforementioned technical means, this creation can achieve the technical effects of dynamically improving user guidance efficiency, increasing application process conversion rate, and enhancing the overall personalized digital service quality of the website. Simple Explanation of the Diagram

[0010] Figure 1 shows a system block diagram of the dynamic personalized navigation link optimization system based on intent depth judgment in this creation. Figure 2A illustrates the first implementation of the website page for optimizing dynamic personalized navigation links based on intent depth judgment in this creation. Figure 2B illustrates the first implementation of the website page for optimizing dynamic personalized navigation links based on intent depth judgment. Figure 3A illustrates a second implementation of the website page for optimizing dynamic personalized navigation links based on intent depth judgment. Figure 3B illustrates the second implementation of the website page for optimizing dynamic personalized navigation links based on intent depth judgment. Figure 3C illustrates the second implementation of the website page for replacing navigation links based on the dynamic personalized navigation link optimization of this creation, which is based on intent depth judgment. Figure 4 illustrates the flowchart of the dynamic personalized navigation link optimization based on intent depth judgment in this creation. Figure 5 illustrates the computer system architecture for this creation, which optimizes dynamic personalized navigation links based on intent depth judgment. Implementation

[0011] The following will describe in detail the implementation of this invention with reference to the drawings and embodiments, so that you can fully understand how this invention uses technical means to solve technical problems and achieve technical effects and implement it accordingly.

[0012] The following section will first explain the dynamic personalized navigation link optimization system based on intent depth judgment disclosed in this work, and please refer to "Figure 1". "Figure 1" is a system block diagram of the dynamic personalized navigation link optimization system based on intent depth judgment in this work.

[0013] First, this invention discloses a dynamic personalized navigation link optimization system based on intent depth judgment. This system includes: a bank server 10, and the bank server 10 further includes: a behavior tracking module 11, an intent depth module 12, and a navigation link module 13.

[0014] The bank server 10 receives user identity information provided by the user device to log in. The aforementioned user identity information may be, for example, a combination of bank account number and password, financial certificate, etc. This is only an example and is not intended to limit the application scope of this invention. After logging into the bank server 10 using the user identity information, the bank server 10 provides a website page to the user device and displays it.

[0015] The behavior tracking module 11 of the bank server 10 provides information on the user's browsing behavior on the website page by collecting and identifying the user's identity information. By collecting, recording and analyzing the user's interactive behavior, operation sequence and browsing pattern on the website page, the behavior tracking module 11 provides information for building accurate user identity profiles, behavior models and decision support information.

[0016] The behavior tracking module 11 automatically records user identity information on interaction information on each website page, including but not limited to: click events, scroll behavior, dwell time, form input behavior, navigation sequence, and erroneous operations and abnormal events, etc. These are only examples and are not intended to limit the application scope of this invention.

[0017] Next, the intent depth module 12 of the bank server 10 determines whether the user's browsing behavior information on the website page is a high-intent interaction behavior. The intent depth module 12 of the bank server 10 can calculate an intent score based on the user's browsing behavior information on the website page collected and identified by the behavior tracking module 11 of the bank server 10. Based on whether the intent score exceeds the intent threshold, it is determined whether the user's browsing behavior information on the website page belongs to a high-intent interaction behavior. Each browsing behavior information corresponds to an intent value. The intent values ​​of each browsing behavior information are summed to calculate the intent score. Specifically, assuming that the intent value of "selecting a credit loan click event" in the browsing behavior information is "10", and the intent value of "staying on" in the browsing behavior information is "10", the intent depth module 12 of the bank server 10 can calculate an intent score based on the user's browsing behavior information. The intent value for "staying on the credit loan page for 10 minutes" is "10". The intent depth module 12 adds the intent value of "selecting a credit loan click event" ("10") to the intent value of "staying on the credit loan page for 10 minutes" ("10") in the browsing behavior information to calculate an intent score of "20". Assuming the intent threshold is "15", the intent score of "20" is greater than the intent threshold of "15". Therefore, the intent depth module 12 can determine that the user's browsing behavior on the website page is a high-intent interaction behavior. Conversely, the intent depth module 12 can determine that the user's browsing behavior on the website page is a low-intent interaction behavior. This is only an example and is not intended to limit the application scope of this invention.

[0018] Furthermore, the intent depth module 12 can also simultaneously refer to the user's identity information attributes (e.g., whether it is a salary transfer account, whether there are other loans or credit card transactions with the bank, whether it is a recently added customer, etc., which are only examples and do not limit the application scope of this invention). The user's identity information attributes are used as adjustment factors for intent scoring. Specifically, when the user's identity information attributes include an existing salary transfer account with the bank, and the user enters the credit loan page multiple times in a short period of time through different entry points (e.g., homepage banner, sidebar navigation, or push notification links, etc., which are only examples and do not limit the application scope of this invention), the intent depth module 12 can further improve the intent score based on the intent scoring adjustment factors, making it easier for the user's identity information to be judged as high-intent interaction behavior. In contrast, if the user's identity information only briefly enters the credit loan page and leaves immediately without performing any calculation or application-related operations, the intent depth module 12 will not adjust the intent score. This is only an example and does not limit the application scope of this invention.

[0019] Next, when the browsing behavior information is determined by the intent depth module 12 to be a non-high intent interaction behavior, the navigation link module 13 presents at least one navigation link in at least one service block in the subsequent website page as a preset link; the navigation link module 13 can also dynamically select at least one navigation link in at least one service block in the subsequent website page to replace the preset link when the browsing behavior information is determined by the intent depth module 12 to be a high intent interaction behavior.

[0020] When a user's identity information is repeatedly identified as high-intent interaction behavior within a predetermined period without completing the corresponding conversion behavior (such as completing an application, filling out a form, submitting a calculation, or making an appointment), the intent depth module 12 will increase the criteria for judging the user's browsing behavior on the website page. This will reduce the likelihood of the user's browsing behavior on the website page being judged as high-intent interaction behavior. In this way, it can avoid continuously presenting high-pressure or high-conversion-oriented navigation links after the user's identity information is judged as high-intent interaction behavior, which would increase the user's operational burden, cause resentment, or interrupt the operation. Specifically, the navigation link module 13 will, for example, change the original high-pressure conversion-oriented navigation links such as "Apply Now" and "Fast Submission" to low-pressure navigation links such as "Service Description," "Calculation Tool," or "Appointment Consultation" to reduce the user's operational burden.

[0021] The bank server further includes a navigation link feedback module 14 and a navigation link optimization module 15. The navigation link feedback module 14 performs statistical analysis on the conversion data of at least one replaced navigation link in at least one service block of the website page for each user's identity information and browsing behavior information on the website page. If the user's behavior is considered to be high-intent interaction behavior, the navigation link feedback module 14 performs statistical analysis on the conversion data of the user's identity information and at least one replaced navigation link. The navigation link optimization module 15 optimizes and adjusts the intent value corresponding to the browsing behavior information in the intent depth module 12 based on the statistical analysis results of the conversion data of the user's identity information and at least one replaced navigation link. The navigation link module 13 dynamically selects at least one navigation link in at least one service block of the website page that is connected to the website page to optimize and adjust the operation link that corresponds to the high-intent interaction behavior to replace the preset link.

[0022] The system receives presentation records of at least one navigation link displayed on the connecting website page 30 from the navigation link module 13, and records operation events corresponding to the user's identity information for each replaced navigation link, such as click behavior, dwell time, full scroll ratio, calculation behavior, form filling event, and successful application event. In this embodiment, the above operation data can be labeled with a version number to distinguish different navigation link groups.

[0023] Next, during a testing period, different versions of the navigation link groups can be pushed to different users based on preset probabilities or conditional rules to establish a representative conversion sample set. For example, in the popular service block 31, group A includes "Online Credit Loan Service" and "Smart Voice Assistant," group B includes "Credit Loan Calculation Service" and "Appointment for Personal Contact," and group C includes "Appointment Consultation" and "Introduction to Credit Loan Preferential Programs." Multiple versions can be pushed simultaneously to observe the differences in their conversion effectiveness.

[0024] After the multiple versions of content are pushed out, conversion statistics are calculated based on the presentation samples of different versions. For example, if the analysis results show that Group C links are significantly better than Group A and Group B in terms of form submission rate and loan application success rate, this conversion data statistical analysis result will be sent to the navigation link feedback module 14.

[0025] After obtaining the analysis results, the navigation link feedback module 14 sends the results back to the navigation link optimization module 15. Based on the statistical data, the navigation link optimization module 15 adjusts the intent values ​​corresponding to each browsing behavior information in the intent depth module 12 to make the intent values ​​more consistent with the actual user behavior preferences. On the other hand, it can also instruct the navigation link module 13 to prioritize displaying the group of navigation links with the best conversion effect (e.g., group C) when subsequently displaying the connecting website page 30, replacing the original default links.

[0026] The navigation link feedback module 14 of the bank server 10 collects conversion data on the replaced fourth navigation link 314 and fifth navigation link 315 presented in the popular services block 31 of the subsequent website page 30, based on the user identity information determined by the intent depth module 12 to be of high intent interaction behavior. This conversion data includes: click-through rate, dwell time, form completion rate, trial operation rate, successful submission rate, multi-page interaction depth after traffic redirection, etc. This is only an example and does not limit the application scope of this invention.

[0027] After collecting statistical samples over a certain period, the navigation link feedback module 14 generates conversion data statistical analysis results and transmits them to the navigation link optimization module 15. Based on the conversion data statistical analysis results, the navigation link optimization module 15 adjusts the intent values ​​corresponding to various browsing behavior information in the intent depth module 12 so that the intent values ​​"closer to the actual user behavior trends".

[0028] Specifically, if the statistical results show that a very high percentage of users who perform the "credit loan trial calculation" operation enter the "schedule a loan consultation with a specialist" page after the operation, then the navigation link optimization module 15 can increase the intent value of the "trial calculation operation" (for example, from 10 to 15), so that the intent depth module 12 can more accurately reflect the user's true behavioral tendencies when judging whether the user's interaction behavior is high-intent.

[0029] For example, if the statistical results show that some users click "online application" but most immediately jump to the subsequent page and no effective conversion is formed, the navigation link optimization module 15 can appropriately reduce the intent value of this behavior (for example, from 12 to 8), so that the intent depth module 12 will not be overly optimistic when judging high intent interaction behaviors in the future.

[0030] Through the above mechanism, the intent value of the intent depth module 12 can be dynamically optimized with the "real conversion rate", so that the intent score is consistent with the real user behavior, and the accuracy and timeliness of the overall intent judgment are improved.

[0031] The navigation link feedback module 14 also collects and statistically analyzes the conversion data for the fourth navigation link 314 and the fifth navigation link 315 that have been replaced in the popular service block 31 of the continuing website page 30.

[0032] After obtaining statistical analysis results, the navigation link optimization module 15 will dynamically adjust the link combinations displayed in the navigation link module 13 according to the actual conversion performance of "different navigation link groups" and replace the preset links. For example, if the statistical analysis shows that the conversion rate of "online credit loan application" is 12%, the conversion rate of "credit loan repayment calculation service" is 28%, and the conversion rate of "appointment for personal loan consultation service" is 35%, the navigation link optimization module 15 can instruct the navigation link module 13 to optimize and replace the first navigation link 311 and the second navigation link 312 provided by the preset in the popular service block 31 of the website page 30 with the fourth navigation link 314 and the fifth navigation link 315, which have higher conversion rates. In this way, the intent depth module 12 and the navigation link module 13 are automatically optimized to gradually improve user guidance efficiency, improve the completion rate of the application process, and enhance the personalization accuracy of the overall digital service.

[0033] The navigation link optimization module 15 further eliminates negative correlations between unreplaced navigation links in at least one service block and the remaining navigation links. This is to avoid situations where multiple navigation links are presented simultaneously, leading to a decrease in overall conversion efficiency due to user operation path competition, attention distraction, or conflicting behavioral goals. Specifically, if the "Apply for a Loan Online Now" navigation link and the "Long-Term Loan Calculation Service" navigation link are presented simultaneously in the same service block, and users mostly switch between the two without completing any application or calculation, and the successful conversion rate is significantly lower than the average conversion rate when the two are presented separately, then the navigation link optimization module 15 determines that the link is invalid. There is a negative correlation between the "Apply for a Loan Now" navigation link and the "Long-Term Loan Calculation Service" navigation link. That is, the navigation link optimization module 15 will prevent the navigation link module 13 from displaying the "Apply for a Loan Now" navigation link and the "Long-Term Loan Calculation Service" navigation link in the same service block at the same time. This not only optimizes the conversion rate of individual navigation links, but also controls and suppresses the combination relationship of navigation links. This allows multiple navigation links displayed on the website page to work together rather than interfere with each other, thereby effectively improving the overall user guidance efficiency, reducing the operational disorientation rate, and increasing the success rate of actually completing the application or service conversion.

[0034] Please refer to Figure 2A, which is a schematic diagram of the first implementation of the website page optimized for dynamic personalized navigation links based on intent depth judgment in this creation.

[0035] The bank server 10 receives user identity information provided by the user device as "User A" to log in, and provides website page 20 to the user device for display. Website page 20 has function options 21 such as "Credit Loan", "House Loan" and "Investment and Financial Management". When "House Loan" is selected in function option 21, the behavior tracking module 11 collects and identifies the browsing behavior information of user identity information "User A" on website page 20, which is the "Selection of House Loan Click Event".

[0036] Assuming the intent value of the "Select Credit Loan Click Event" is "15", the intent value of the "Select Home Loan Click Event" is "5", and the intent depth module 12 calculates the intent score of the user's identity information "User A" browsing behavior information "Select Home Loan Click Event" on website page 20 as "5", and assuming the intent threshold is "10", the intent depth module 12 can determine that the user's identity information "User A" browsing behavior information "Select Home Loan Click Event" on website page 20 is a non-high intent interaction behavior.

[0037] When browsing behavior information is determined by intent depth module 12 to be a non-high intent interaction behavior, navigation link module 13 provides a preset first navigation link 311 and second navigation link 312 in the popular service block 31 of the subsequent website page 30 of website page 20. In the first embodiment, the first navigation link 311 is "Online Home Loan Service" and the second navigation link 312 is "Smart Voice Assistant". This is only an example and does not limit the application scope of this invention. For a schematic diagram of the subsequent website page 30, please refer to "Figure 2B". "Figure 2B" is a schematic diagram of the first embodiment of the subsequent website page of this invention based on the dynamic personalized navigation link optimization of intent depth judgment.

[0038] Please refer to Figure 3A, which is a schematic diagram of the second implementation of the website page optimized for dynamic personalized navigation links based on intent depth judgment in this creation.

[0039] The bank server 10 receives user identity information provided by the user device as "User A" to log in, and provides website page 20 to the user device for display. Website page 20 has function options 21 such as "Credit Loan", "House Loan" and "Investment and Financial Management". When "Credit Loan" is selected in function option 21, the behavior tracking module 11 collects and identifies the browsing behavior information of user identity information "User A" on website page 20, which is the "Credit Loan Selection Click Event".

[0040] Assuming the intent value of the "Select Credit Loan Click Event" is "15", the intent value of the "Select Home Loan Click Event" is "5", and the intent depth module 12 calculates the intent score of the user's identity information "User A" browsing behavior information "Select Credit Loan Click Event" on website page 20 as "15", and assuming the intent threshold is "10", the intent depth module 12 can determine that the user's identity information "User A" browsing behavior information "Select Credit Loan Click Event" on website page 20 is a high-intent interaction behavior.

[0041] Please refer to Figure 3B. Figure 3B illustrates the second implementation of the website page following the dynamic personalized navigation link optimization based on intent depth judgment in this invention. The popular service block 31 on the website page 30 following the website page 20 provides preset first navigation link 311, second navigation link 312, and third navigation link 313. In the second implementation, the preset first navigation link 311 is "Online Credit Loan Service", the second navigation link 312 is "Intelligent Voice Assistant", and the third navigation link 313 is "Tax and Fee Collection Service".

[0042] When browsing behavior information is judged by intent depth module 12 as a high-intent interaction behavior, navigation link module 13 provides a first navigation link 311, a fourth navigation link 314, and a fifth navigation link 315 corresponding to the high-intent interaction behavior in the popular service block 31 of the subsequent website page 30 of website page 20 to replace the preset link. In the second embodiment, the first navigation link 311 is "online credit loan service", the fourth navigation link 314 is "credit loan repayment calculation service", and the fifth navigation link 315 is "appointment for personal loan consultation service". This is only an example and does not limit the application scope of this invention. For a schematic diagram of the subsequent website page 30 that replaces the navigation links, please refer to "Figure 3C". "Figure 3C" is a schematic diagram of the second embodiment of the dynamic personalized navigation link optimization based on intent depth judgment of this invention, showing the replacement of the navigation links in the subsequent website page.

[0043] Next, the operation process of this creation will be explained below. Please also refer to Figure 4, which shows the flowchart of the dynamic personalized navigation link optimization based on intent depth judgment.

[0044] First, the bank server collects and identifies user identity information on the website page's browsing behavior information (step 401); then, the bank server determines whether the user identity information on the website page's browsing behavior information is a high-intent interaction behavior (step 402); next, when the browsing behavior information is determined to be a non-high-intent interaction behavior, the bank server will present at least one navigation link in at least one service block in the next page of the website page as a preset link (step 403); and when the browsing behavior information is determined to be a high-intent interaction behavior, the bank server will dynamically select at least one navigation link in at least one service block in the next page of the website page to facilitate the operation link corresponding to the high-intent interaction behavior to replace the preset link (step 404).

[0045] Please refer to Figure 5, which illustrates the computer system architecture of the dynamic personalized navigation link optimization based on intent depth judgment in this invention. It should be noted that the computer system 500 of the electronic device shown in Figure 5 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this invention.

[0046] As shown in Figure 5, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from Storage Unit 508 into Random Access Memory (RAM) 503. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via bus 504. An Input / Output (I / O) interface 505 is also connected to bus 504.

[0047] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), and speakers, etc.; a storage section 508 including a hard drive, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. Removable media 511, such as magnetic disks, optical discs, magneto-optical disks, semiconductor memory, etc., are installed on the drive 510 as needed so that computer programs read from them can be installed into the storage section 508 as needed.

[0048] Specifically, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including computer code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable media 511. When the computer program is executed by the central processing unit (CPU) 501, it performs various functions defined in the system of the present invention.

[0049] It should be noted that the computer-readable media shown in this embodiment can be a computer-readable signal media, a computer-readable storage media, or any combination thereof. Computer-readable storage media can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), electronically erasable programmable read-only memory (EPROM), flash memory, optical fiber, compact disc read-only memory (CD-ROM), optical memory devices, magnetic memory devices, or any suitable combination thereof. In this invention, computer-readable signal media can include data signals propagated in a baseband frequency or as part of a carrier wave, carrying computer-readable computer programs. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit programs for use by or in connection with an instruction execution system, apparatus, or device. Computer programs contained on a computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0050] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in the flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0051] The units described in this embodiment can be implemented in software or hardware, and can also be located in a processor. The names of these units do not necessarily limit the specific unit itself. Therefore, the technical solution according to this embodiment can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, portable hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to this embodiment.

[0052] In summary, the bank server collects and identifies user identity information from browsing behavior data on website pages. When browsing behavior is determined to be non-high-intent interaction, the bank server will present at least one navigation link in at least one service block on the next page of the website as a preset link. When browsing behavior is determined to be high-intent interaction, the bank server will dynamically select at least one navigation link in at least one service block on the next page of the website to facilitate the operation link corresponding to the high-intent interaction, replacing the preset link. This allows the bank server to provide differentiated and dynamic service guidance for different users.

[0053] This technology can solve the problems of previous technologies, such as the inability to make real-time judgments on user browsing behavior, the inability to dynamically replace guiding links based on high-intent behavior, and the inability to reverse-optimize the intent model from the link conversion results to achieve precise marketing. In this way, it can achieve the technical effect of dynamically improving user guidance efficiency, increasing the application process conversion rate, and enhancing the overall personalized digital service quality of the website.

[0054] While the embodiments disclosed in this invention are as described above, the content is not intended to directly limit the scope of patent protection for this invention. Anyone skilled in the art to which this invention pertains may make minor modifications in form and detail without departing from the spirit and scope disclosed herein. The scope of patent protection for this invention shall still be determined by the appended claims.

[0055] 10: Bank Server 11: Behavior Tracking Module 12: Intent Depth Module 13: Navigation Link Module 14: Navigation Link Feedback Module 15: Navigation Link Optimization Module 20: Website Page 21: Function Options 30: Continuing from the previous page 31: Popular Service Blocks 311: First navigation link 312: Second navigation link 313: Third navigation link 314: Fourth navigation link 315: Fifth Navigation Link 401-404: Steps 500: Computer System 501: CPU 502:ROM 503: RAM 504: Busbar 505:I / O interface 506: Input Section 507: Output Section 508: Storage Section 509: Communication Section 510: Drive 511: Uninstallable media

Claims

1. A dynamic personalized navigation link optimization system based on intent depth judgment, the system comprising: a bank server, the bank server further comprising: a behavior tracking module, providing information on browsing behavior of collecting and identifying a user's identity information on a website page; An intent depth module, connected to the behavior tracking module, determines whether the user's browsing behavior information on the website page is a high-intent interaction behavior. When the user's identity information is repeatedly identified as a high-intent interaction behavior within a predetermined period without completing the corresponding conversion behavior, the module increases the criteria for determining the user's browsing behavior information on the website page, thereby reducing the likelihood of the user's browsing behavior information on the website page being identified as a high-intent interaction behavior. A navigation link module, connected to the intent depth module, when the browsing behavior information is determined by the intent depth module to be non-high-intent interaction behavior, presents at least one navigation link in at least one service block of a subsequent website page as a preset link. When the browsing behavior information is determined by the intent depth module to be a high-intent interaction behavior, the at least one navigation link in the at least one service block of the subsequent website page dynamically selects and facilitates the replacement of the preset link with an operation link corresponding to the high-intent interaction behavior.

2. The dynamic personalized navigation link optimization system based on intent depth judgment as described in claim 1, wherein the intent depth module calculates an intent score of the user's identity information on the browsing behavior information of the website page, and determines whether the user's identity information on the website page is a high-intent interaction behavior based on whether the intent score exceeds an intent threshold.

3. The dynamic personalized navigation link optimization system based on intent depth judgment as described in claim 2, wherein the intent depth module further includes an attribute data referencing the user's identity information as an adjustment factor for the intent score, and the intent score is adjusted through the adjustment factor for the intent score.

4. The dynamic personalized navigation link optimization system based on intent depth judgment as described in claim 1, wherein the bank server further includes a navigation link feedback module, the navigation link feedback module being connected to the intent depth module and the navigation link module, providing statistical analysis of the conversion data of the at least one navigation link replaced in the at least one service block of the successive website page for each user's identity information browsing behavior information on the website page as the high intent interaction behavior.

5. The dynamic personalized navigation link optimization system based on intent depth judgment as described in claim 4, wherein the bank server further includes a navigation link optimization module, the navigation link optimization module being connected to the navigation link feedback module and the navigation link module, optimizing and adjusting the intent value corresponding to the browsing behavior information in the intent depth module based on the statistical analysis results of the conversion data of the at least one replaced navigation link, and dynamically selecting and optimizing the operation link corresponding to the high intent interaction behavior in the at least one service block of the website page connected to the website page by the navigation link module based on the statistical analysis results of the conversion data of the at least one replaced navigation link to replace the preset link.

Images