Urban operation monitoring thematic sequence display method, device and equipment and readable medium

Abstract

Embodiments of the present disclosure disclose a city operation monitoring thematic sequence display method, device, equipment and readable medium. A specific embodiment of the method comprises: in response to detecting user login information of a corresponding city operation monitoring system, performing identity verification processing on a user identifier included in the user login information to obtain verification information; in response to determining that the verification information meets a preset verification condition, obtaining user permission information corresponding to the user identifier and a subject identifier to which the user belongs; obtaining a city operation monitoring theme set corresponding to the user permission information; inputting the city operation monitoring theme set and the user identifier into a city operation monitoring thematic sequence generation model that is pre-trained to obtain a city operation monitoring thematic sequence; generating a target city operation monitoring thematic sequence according to the city operation monitoring thematic sequence and the subject identifier to which the user belongs; and displaying the target city operation monitoring thematic sequence on a city operation homepage. The embodiment can simplify user operations.

Description

Technical Field

[0001] The embodiments of this disclosure relate to the field of computer technology, and more specifically to a method, apparatus, device, and readable medium for displaying thematic sequences of urban operation monitoring. Background Technology

[0002] With the rapid development of computer technology, urban operation monitoring users can obtain timely information about urban operations through urban monitoring platforms. Currently, when arranging and displaying the various urban operation monitoring topics that users need to view, the common method is as follows: users pre-select the urban operation monitoring topics they want to view at the highest priority on the urban monitoring platform each day and sort them, and then the results are displayed on the homepage of the urban operation monitoring platform.

[0003] However, the inventors discovered that when displaying various topics pushed in the above manner, the following technical problems often exist: City operation information changes every day and is time-sensitive; the attention paid to the same city operation monitoring topic varies at different times; city operation monitoring users pre-select and sort the city operation monitoring topics they need to view on the city monitoring platform every day, and then display them on the homepage of the city operation monitoring platform, which makes the user operation cumbersome.

[0004] The information disclosed in this background section is only intended to enhance the understanding of the background of the inventive concept, and therefore may contain information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0006] Some embodiments of this disclosure provide methods, apparatuses, electronic devices, and computer-readable media for displaying thematic sequences of urban operation monitoring to address the technical problems mentioned in the background section above.

[0007] In a first aspect, some embodiments of this disclosure provide a method for displaying a thematic sequence of urban operation monitoring. The method includes: in response to detecting user login information for a corresponding urban operation monitoring system, performing identity verification processing on a user identifier included in the user login information to obtain verification information; in response to determining that the verification information meets preset verification conditions, obtaining user permission information and a user-owned entity identifier corresponding to the user identifier; obtaining an urban operation monitoring thematic set corresponding to the user permission information; inputting the urban operation monitoring thematic set and the user identifier into a pre-trained urban operation monitoring thematic sequence generation model to obtain an urban operation monitoring thematic sequence; generating a target urban operation monitoring thematic sequence based on the urban operation monitoring thematic sequence and the user-owned entity identifier; and displaying the target urban operation monitoring thematic sequence on the urban operation homepage page corresponding to the urban operation monitoring system.

[0008] Secondly, some embodiments of this disclosure provide a device for displaying urban operation monitoring thematic sequences. The device includes: a verification unit configured to, in response to detecting user login information of a corresponding urban operation monitoring system, perform identity verification processing on a user identifier included in the user login information to obtain verification information; a first acquisition unit configured to, in response to determining that the verification information meets preset verification conditions, acquire user permission information and a user-owned entity identifier corresponding to the user identifier; a second acquisition unit configured to acquire an urban operation monitoring thematic set corresponding to the user permission information; an input unit configured to input the urban operation monitoring thematic set and the user identifier into a pre-trained urban operation monitoring thematic sequence generation model to obtain an urban operation monitoring thematic sequence; a generation unit configured to generate a target urban operation monitoring thematic sequence based on the urban operation monitoring thematic sequence and the user-owned entity identifier; and a display unit configured to display the target urban operation monitoring thematic sequence on the urban operation homepage page of the corresponding urban operation monitoring system.

[0009] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0010] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any implementation of the first aspect.

[0011] The above-described embodiments of this disclosure have the following beneficial effects: the urban operation monitoring topic sequence display method of some embodiments of this disclosure can simplify user operations. Specifically, the reason for the cumbersome user operations is that urban operation information changes daily and has timeliness. The attention given to the same urban operation monitoring topic varies at different times. Urban operation monitoring users pre-select and sort the various urban operation monitoring topics they need to view on the urban operation monitoring platform every day, and then display them on the homepage of the urban operation monitoring platform, thus causing cumbersome user operations. Based on this, the urban operation monitoring topic sequence display method of some embodiments of this disclosure firstly, in response to detecting the user login information of the corresponding urban operation monitoring system, performs identity verification processing on the user identifier included in the user login information to obtain verification information. Thus, the identity of the logged-in user can be verified, thereby improving the security of the system. Secondly, in response to determining that the above verification information meets the preset verification conditions, the user permission information and the user's subject identifier corresponding to the above user identifier are obtained. Thus, when the login user's identity verification is successful, the user's corresponding permissions can be obtained, which can be used to determine the urban operation monitoring topic set that the user can view. Then, the city operation monitoring topic set corresponding to the aforementioned user permission information is obtained. This allows us to determine the city operation monitoring topics that the user can view, which can then be used to determine which city operation monitoring topics are displayed on the homepage for the user to view. Next, the aforementioned city operation monitoring topic set and the aforementioned user identifier are input into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence. This allows for the automatic generation of city operation monitoring topic sequences that the user is interested in based on their own habits, thus automatically obtaining city operation monitoring topic sequences that closely match the user's needs. Next, based on the aforementioned city operation monitoring topic sequence and the aforementioned user's entity identifier, a target city operation monitoring topic sequence is generated. This results in city operation monitoring topics that are more closely aligned with the user's identity and work attributes. Finally, the aforementioned target city operation monitoring topic sequence is displayed on the city operation homepage page corresponding to the aforementioned city operation monitoring system. This allows for the display of various city operation monitoring topics, making them available for the user to view. Because when displaying various city operation monitoring topics, a personalized sequence of city operation monitoring topics can be automatically generated based on the user's own habits and identity for the user to view, providing information support for the user's decision-making, thus eliminating the need for the user to reselect various city operation monitoring topics every day. This simplifies the user operation and makes it easier for the user to make decisions. Attached Figure Description

[0012] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0013] Figure 1 These are flowcharts of some embodiments of the urban operation monitoring thematic sequence display method according to this disclosure;

[0014] Figure 2 These are schematic diagrams of some embodiments of the urban operation monitoring thematic sequence display device according to this disclosure;

[0015] Figure 3 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation

[0016] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0017] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0018] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0019] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0020] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0021] The collection, storage, and use of user personal information (such as historical browsing behavior information) involved in this disclosure shall be carried out in accordance with relevant laws and regulations, provided that the relevant organizations or individuals have fulfilled their obligations, including conducting personal information security impact assessments, informing personal information subjects, obtaining prior authorization and consent from personal information subjects, and other obligations before performing the corresponding operations.

[0022] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0023] Figure 1 A flow 100 of some embodiments of the urban operation monitoring thematic sequence display method according to the present disclosure is shown. The urban operation monitoring thematic sequence display method includes the following steps:

[0024] Step 101: In response to detecting user login information of the corresponding city operation monitoring system, perform identity verification processing on the user identifier included in the user login information to obtain verification information.

[0025] In some embodiments, the executing entity (e.g., a computing device) of the urban operation monitoring thematic sequence display method can, in response to detecting user login information of the corresponding urban operation monitoring system, perform authentication processing on the user identifier included in the user login information to obtain authentication information. The aforementioned urban operation monitoring system can be a system for monitoring urban operation data. The aforementioned urban operation data can characterize the operational status of the city. The aforementioned urban operation data can include, but is not limited to, at least one of the following: urban value realization (e.g., economic) data, urban emergency data, and urban traffic data. The aforementioned urban value realization data can be the value realization data of the corresponding city. The aforementioned urban value realization data can include, but is not limited to, the city's GDP. The aforementioned urban GDP can be the GDP of the corresponding city. The aforementioned urban emergency data can be data on corresponding urban emergency events. The aforementioned urban emergency data can include, but is not limited to, emergency event types and emergency plans. The aforementioned emergency event types can be, but are not limited to, one of the following: earthquake, fire, flood control. The aforementioned urban traffic data can be the traffic data of the corresponding city. The aforementioned urban traffic data can include, but is not limited to, traffic operation types. The aforementioned traffic operation types can be, but are not limited to, one of the following: smooth traffic, congested traffic, severe congestion. The aforementioned user login information can be the information used by a user to log in to the aforementioned city operation monitoring system. This user login information may include, but is not limited to, a user identifier. The user identifier can be a unique identifier for the user. For example, the user identifier can be a user's ID card number or a QR code. The user can be a user who needs to monitor city operations. For example, the user can be the mayor of a city or the director of the corresponding city's transportation bureau. The aforementioned verification information can indicate whether the user identifier has been successfully verified. In practice, the aforementioned implementing entity can, in response to detecting user login information for the corresponding city operation monitoring system, perform identity verification processing on the user identifier included in the aforementioned user login information using a preset verification method to obtain verification information. The aforementioned preset verification method can be a pre-defined method for verifying user identity. For example, the aforementioned preset verification method can be CA (Certificate Authority) authentication.

[0026] Step 102: In response to determining that the verification information meets the preset verification conditions, obtain the user permission information and the entity identifier to which the user belongs for the corresponding user identifier.

[0027] In some embodiments, the executing entity may, in response to determining that the verification information meets preset verification conditions, obtain user permission information and user entity identifier corresponding to the user identifier. The preset verification conditions may be verification information indicating that the user identifier has passed verification. The user permission information may indicate the number of corresponding city operation monitoring topics the user can view. The user permission information may include, but is not limited to, permission types: Level 1 permission, Level 2 permission, and Level 3 permission. It should be noted that the higher the permission level, the more city operation monitoring topics can be viewed. The city operation monitoring topics may be topics to which the corresponding city operation information belongs. For example, the city operation monitoring topics may be, but are not limited to, one of the following: value realization development, traffic data, and emergency events. The user entity identifier may be a unique identifier of the user's entity. The user entity may be the entity to which the user belongs (e.g., a department). In practice, the executing entity may, in response to determining that the verification information meets preset verification conditions, obtain user permission information and user entity identifier corresponding to the user identifier from the database via a wired or wireless connection. It should be noted that the aforementioned wireless connection methods may include, but are not limited to, 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other currently known or future wireless connection methods.

[0028] Step 103: Obtain the city operation monitoring thematic set corresponding to user permission information.

[0029] In some embodiments, the executing entity can obtain the city operation monitoring thematic set corresponding to the aforementioned user permission information. In practice, the executing entity can obtain the city operation monitoring thematic set corresponding to the aforementioned user permission information from the database via wired or wireless connection.

[0030] Optionally, the aforementioned urban operation monitoring thematic set is generated on the permission configuration terminal through the following steps:

[0031] The first step is to display a preset city operation monitoring topic module group on the city operation monitoring topic display interface. The aforementioned permission configuration terminal can be a terminal for configuring permission users. These permission configuration users can be users who configure corresponding permissions for monitoring city operations. For example, the permission configuration user could be the mayor of the corresponding city. The aforementioned city operation monitoring topic display interface can display the interface for each city operation monitoring topic for the corresponding city. Each preset city operation monitoring topic module in the aforementioned preset city operation monitoring topic module group corresponds to a preset city operation monitoring topic. The preset city operation monitoring topic module can be a pre-defined page module used to display the corresponding preset city operation monitoring topic. The aforementioned preset city operation monitoring topic can be a pre-defined city operation monitoring topic. Each preset city operation monitoring topic module in the aforementioned preset city operation monitoring topic module group can include, but is not limited to, a homepage display control. The aforementioned homepage display control can be a control used by users to select the corresponding preset city operation monitoring topic to be displayed on the city operation homepage page of the aforementioned city operation monitoring system. The aforementioned city operation homepage page can be the first page when entering the city operation monitoring system.

[0032] The second step involves detecting a selection operation performed on any homepage display control within the aforementioned preset city operation monitoring topic module group, and then determining the preset city operation monitoring topic corresponding to that homepage display control as the city operation monitoring topic. The selection operation can be, but is not limited to, at least one of the following: clicking, swiping, or hovering.

[0033] The third step is to define the selected city operation monitoring topics as the city operation monitoring topic sets corresponding to the aforementioned user permission information.

[0034] Step 104: Input the urban operation monitoring thematic set and user identifier into the pre-trained urban operation monitoring thematic sequence generation model to obtain the urban operation monitoring thematic sequence.

[0035] In some embodiments, the executing entity can input the aforementioned urban operation monitoring thematic set and the aforementioned user identifier into a pre-trained urban operation monitoring thematic sequence generation model to obtain an urban operation monitoring thematic sequence. The urban operation monitoring thematic sequence generation model can be a neural network that takes the urban operation monitoring thematic set and user identifier as input and outputs an urban operation monitoring thematic sequence. The neural network can be a recurrent neural network. The urban operation monitoring thematic topics in the urban operation monitoring thematic sequence can be predicted urban operation monitoring thematic topics that need to be pushed to the user. The urban operation monitoring thematic sequence can be a sequence in which the various urban operation monitoring thematic topics are arranged in descending order of user interest.

[0036] Step 105: Generate the target city operation monitoring thematic sequence based on the city operation monitoring thematic sequence and the user's subject identifier.

[0037] In some embodiments, the executing entity can generate a target city operation monitoring topic sequence based on the city operation monitoring topic sequence and the user's entity identifier. The target city operation monitoring topic sequence can be a sequence of city operation monitoring topics arranged in descending order of predicted user interest. In practice, the executing entity can generate the target city operation monitoring topic sequence based on the city operation monitoring topic sequence and the user's entity identifier in various ways.

[0038] In the process of adopting technical solutions to address the technical problems in the background technology, the following technical problem often arises: Technical Problem Two: How to improve the matching degree between the pushed topic sequence and user needs. The conventional solution to Technical Problem Two is generally to determine the topics to be pushed based on the user's identity information and historical behavior information using a collaborative filtering model. However, the above conventional solution still has the following problems: City operation information changes daily and is time-sensitive; the level of attention paid to the same event by city operation monitoring users varies at different times. Determining and sorting the pushed topics solely based on the city operation monitoring user's identity information and historical behavior information results in a low degree of relevance between the generated pushed topic sequence and the user's actual needs. Consequently, when displaying the generated pushed topic sequence in order, users need to perform search operations and / or topic sorting operations again, further complicating the user experience.

[0039] To address the second technical problem mentioned above, and leveraging our existing big data advantages, the following solution can be adopted:

[0040] In some optional implementations of certain embodiments, the aforementioned executing entity may generate a target city operation monitoring thematic sequence based on the aforementioned city operation monitoring thematic sequence and the aforementioned user entity identifier through the following steps:

[0041] The first step is to obtain the sequence of city news hotspots and historical event information corresponding to the current time. The current time can be a specific date. The city news hotspot information sequence can be a sequence of city news hotspots arranged in descending order of their respective news popularity. The city news hotspot information in the sequence can be news features on hot news in the corresponding city, or news text of hot news. The news popularity can be the popularity of news as statistically analyzed on the corresponding city's news websites. The hot news can be news whose popularity exceeds a preset news popularity. The preset news popularity can be a pre-defined indicator of news popularity. The historical event information can be information on memorable events that occurred at the corresponding historical point in time. For example, when the current date is October 1st, the corresponding historical event information is "The founding of the People's Republic of China on October 1st, 1949". Another example is when the current date is May 12th, the corresponding historical event information is "The Wenchuan earthquake on May 12th, 2008". In practice, the aforementioned implementing entities can obtain the current time's urban news hotspot information sequence and historical event information from the database via wired or wireless connections.

[0042] The second step involves performing a correlation analysis on each city news hotspot within the aforementioned city news hotspot information sequence, comparing it with the historical event information to obtain correlation information. This correlation information characterizes the degree of association between the city news hotspot information and the historical event information. In practice, the implementing entity can use various methods to perform correlation analysis on each city news hotspot within the aforementioned city news hotspot information sequence to obtain correlation information.

[0043] In some optional implementations of certain embodiments, the aforementioned executing entity may perform correlation analysis on the aforementioned urban news hotspot information and the aforementioned historical event information through the following steps to obtain correlation information:

[0044] Step one involves extracting features from the aforementioned urban news hotspots to obtain hotspot feature information. In practice, the executing entity can use a preset text feature extraction algorithm to extract features from the urban news hotspots, obtaining hotspot feature vectors as hotspot feature information. The preset text feature extraction algorithm can be a pre-defined algorithm for extracting text features. For example, the preset text feature extraction algorithm can be the TF-IDF (Term Frequency-Inverse Document Frequency) algorithm, or a text feature extraction algorithm based on Long Short-Term Memory networks.

[0045] Step two involves performing feature extraction processing on the aforementioned historical event information to obtain historical event feature information. In practice, the executing entity can use the aforementioned preset text feature extraction algorithm to perform feature extraction processing on the aforementioned historical event information to obtain historical event feature vectors as historical event feature information.

[0046] Step three involves performing similarity processing on the aforementioned hotspot feature information and the aforementioned historical event feature information to obtain similarity information. In practice, the executing entity can determine the similarity information as the cosine similarity between the aforementioned hotspot feature information and the aforementioned historical event feature information.

[0047] Step four: Determine the above similarity information as the relevance information.

[0048] The third step involves sorting the city news hotspots within the aforementioned city news hotspot information sequence based on the obtained correlation information, thus obtaining the target city news hotspot information sequence. This target city news hotspot information sequence can be obtained by rearranging the city news hotspots in conjunction with historical events corresponding to the current time. In practice, the implementing entity can use various methods to sort the city news hotspots within the aforementioned city news hotspot information sequence based on the obtained correlation information to obtain the target city news hotspot information sequence.

[0049] In some optional implementations of certain embodiments, the aforementioned executing entity may sort the various city news hotspot information included in the aforementioned city news hotspot information sequence according to the obtained correlation information through the following steps to obtain the target city news hotspot information sequence:

[0050] Step 1: For each city news hotspot included in the above city news hotspot information sequence, perform the following sub-steps:

[0051] The first sub-step is to determine the position of the aforementioned city news hotspot information in the aforementioned city news hotspot information sequence as the information position.

[0052] The second sub-step involves identifying the city news hotspots from the obtained correlation information as the target correlation information.

[0053] The third sub-step involves determining the preset correlation score corresponding to the aforementioned target correlation information as the correlation score. This preset correlation score can be a pre-set value. It should be noted that the higher the degree of correlation represented by the target correlation information, the higher the preset correlation score.

[0054] The fourth sub-step involves determining the preset hotspot score corresponding to the aforementioned information position as the hotspot score. This preset hotspot score can be a pre-set value. It should be noted that the smaller the corresponding information position, the higher the preset hotspot score.

[0055] The fifth sub-step involves generating an information score based on the aforementioned correlation score and hot topic score. In practice, firstly, the executing entity can determine the first score by multiplying the correlation score by a preset correlation weight. The preset correlation weight can be a pre-defined measure of the influence of correlation degree on the ranking of news hot topics in the corresponding city. Secondly, the second score is determined by multiplying the hot topic score by a preset hot topic weight. The preset hot topic weight can be a pre-defined measure of the influence of news popularity on the ranking of news hot topics in the corresponding city. It should be noted that the sum of the preset correlation weight and the preset hot topic weight can be 1. For example, the preset correlation weight can be 0.3, and the preset hot topic weight can be 0.7. Finally, the sum of the first score and the second score is determined as the information score.

[0056] Step two: Based on the generated information scores, sort the city news hotspot information included in the aforementioned city news hotspot information sequence to obtain the target city news hotspot information sequence. In practice, the executing entity can sort the city news hotspot information included in the aforementioned city news hotspot information sequence in descending order of the generated information scores to obtain the target city news hotspot information sequence.

[0057] The fourth step involves generating a target city operation monitoring thematic sequence based on the aforementioned city operation monitoring thematic sequence, the target city news hotspot information sequence, and the user's entity identifier. In practice, the implementing entity can generate the target city operation monitoring thematic sequence using various methods based on the aforementioned city operation monitoring thematic sequence, the target city news hotspot information sequence, and the user's entity identifier.

[0058] In some optional implementations of certain embodiments, the aforementioned executing entity may generate a target city operation monitoring thematic sequence based on the aforementioned city operation monitoring thematic sequence, the aforementioned target city news hotspot information sequence, and the aforementioned user's entity identifier through the following steps:

[0059] Step 1: For each city operation monitoring topic included in the above city operation monitoring topic sequence, perform the following sub-steps:

[0060] The first sub-step is to determine the position of the aforementioned urban operation monitoring topic within the aforementioned urban operation monitoring topic sequence as the target position.

[0061] The second sub-step involves determining the preset ranking score corresponding to the aforementioned target ranking as the topic ranking score. This preset ranking score can be a pre-defined score for the corresponding ranking. It should be noted that the lower the target ranking, the higher the preset ranking score.

[0062] The third sub-step involves processing the correlation between the aforementioned city operation monitoring topic and the user's entity identifier to obtain identifier correlation information. In practice, the executing entity can input the aforementioned city operation monitoring topic and the aforementioned user's entity identifier into a pre-trained identifier correlation information generation model to obtain identifier correlation information. The identifier correlation information generation model can be a recurrent neural network that takes the city operation monitoring topic and the user's entity identifier as input and outputs the identifier correlation information. The identifier correlation information can include, but is not limited to, the identifier correlation degree. The identifier correlation degree can be the correlation between the city operation monitoring topic and the user's entity identifier.

[0063] The fourth sub-step involves determining the preset subject identifier association score corresponding to the aforementioned identifier association information as the subject identifier association score. This preset subject identifier association score can be a pre-defined score representing the association degree between the city operation monitoring topic and the user's subject identifier. It should be noted that the greater the identifier association degree included in the identifier association information, the higher the preset subject identifier association score.

[0064] The fifth sub-step involves performing the following sub-steps for each target city news hotspot information item included in the above target city news hotspot information sequence:

[0065] The first sub-step involves processing the correlation between the aforementioned urban news hotspots and the aforementioned urban operation monitoring topics to obtain hotspot correlation information. In practice, firstly, the implementing entity can use the aforementioned preset text feature extraction algorithm to extract features from the aforementioned urban news hotspots to obtain news hotspot vectors. Then, the aforementioned preset text feature extraction algorithm is used to extract features from the urban operation monitoring topics to obtain topic feature vectors. Finally, the cosine similarity between the aforementioned news hotspot vectors and the aforementioned topic feature vectors is determined as the hotspot correlation information.

[0066] Sub-step two involves determining the preset hotspot relevance score corresponding to the aforementioned hotspot relevance information as the hotspot score. This preset hotspot relevance score can be a pre-set score. It should be noted that the higher the hotspot relevance information, the higher the preset hotspot relevance score.

[0067] The sixth sub-step is to determine the number of news hotspots in each target city included in the above target city news hotspot information sequence as the number of hotspot information.

[0068] The seventh sub-step is to determine the average hotspot score as the ratio of the sum of the generated hotspot scores to the number of hotspot information items mentioned above.

[0069] The eighth sub-step generates a push score based on the aforementioned topic ranking score, subject identifier association score, and hotspot average score. This push score can be the score for pushing the corresponding city operation monitoring topic to the user. In practice, the executing entity can determine the push score as the sum of the products of the aforementioned topic ranking score and preset topic ranking weight, the aforementioned subject identifier association score and preset subject identifier association weight, and the aforementioned hotspot average score and preset hotspot score weight. The preset topic ranking weight can be a pre-defined weight representing the position of the city operation monitoring topic in the city operation monitoring topic sequence in the generated push score. The preset subject identifier association weight can be a pre-defined weight representing the correlation between the user's subject identifier and the city operation monitoring topic in the generated push score. The preset hotspot score weight can be a pre-defined weight representing the news hotspot information in the generated push score. It should be noted that the sum of the aforementioned preset topic ranking weight, the aforementioned preset subject identifier association weight, and the aforementioned preset hotspot score weight can be 1.

[0070] Step two: Based on the generated push scores, sort the various city operation monitoring topics included in the aforementioned city operation monitoring topic sequence to obtain the target city operation monitoring topic sequence. In practice, the executing entity can sort the various city operation monitoring topics included in the aforementioned city operation monitoring topic sequence in descending order of the generated push scores to obtain the target city operation monitoring topic sequence.

[0071] The above-described technical solution and its related content, as an inventive point of this disclosure, solve the technical problem that "city operation information changes daily and is time-sensitive; city operation monitoring users' attention to the same issue varies at different times; determining and sorting push topics solely based on the user's identity information and historical behavior information results in a low degree of relevance between the generated push topic sequence and the user's actual needs. Consequently, when displaying the generated push topic sequence in order, users need to perform search operations and / or topic sorting operations again, further complicating user operations." The factors leading to cumbersome user operations are often as follows: city operation information changes daily and is time-sensitive; city operation monitoring users' attention to the same issue varies at different times; determining and sorting push topics solely based on the user's identity information and historical behavior information results in a low degree of relevance between the generated push topic sequence and the user's actual needs. Consequently, when displaying the generated push topic sequence in order, users need to perform search operations and / or topic sorting operations again, further complicating user operations. Solving these factors can simplify user operations. To achieve this effect, some embodiments of the urban operation monitoring topic sequence display method disclosed herein not only determine and sort the topics to be pushed based on the identity information and historical behavior information of urban operation monitoring users, but also take into account the actual needs of operation monitoring users to pay attention to the city's hot news in order to address public opinion issues as soon as possible. It integrates relevant information from the city's hot news and historical events, thereby generating a topic sequence that is highly relevant to the user's actual needs. As a result, when a user views the target city operation monitoring topic sequence, the user's operation is reduced from having to perform search and sort operations again, thus simplifying the user's operation.

[0072] Step 106: Display the target city operation monitoring topic sequence on the city operation homepage of the corresponding city operation monitoring system.

[0073] In some embodiments, the implementing entity may display the target city operation monitoring thematic sequence on the city operation homepage of the corresponding city operation monitoring system. In practice, the implementing entity may display the target city operation monitoring thematic sequence on the city operation homepage of the corresponding city operation monitoring system in various ways.

[0074] In the process of adopting technical solutions to address the technical problems in the background section, the following technical problem often arises: How to display the pushed topic sequence to improve user experience? The conventional solution for this technical problem is for users to pre-set the display style for the pushed topic sequence. However, this conventional solution still has the following problems: users' browsing habits change over time. Pre-setting the display style for the pushed topic sequence means that when users' habits change, the display style needs to be set again, leading to cumbersome operations.

[0075] To address the third technical problem mentioned above, and leveraging our existing big data advantages, the following solution can be adopted:

[0076] In some optional implementations of certain embodiments, the aforementioned executing entity may display the target city operation monitoring topic sequence on the city operation homepage page of the corresponding city operation monitoring system through the following steps:

[0077] The first step is to obtain the historical browsing behavior information sequence and topic display style information corresponding to the aforementioned user identifier. The aforementioned historical browsing behavior information sequence can be a sequence of historical browsing behavior information arranged in ascending chronological order. The historical browsing behavior information in the aforementioned historical browsing behavior information sequence can represent the user's browsing behavior at the corresponding historical time point. The historical browsing behavior information can include, but is not limited to, browsing behavior type. The aforementioned browsing behavior type can represent the type of user's browsing behavior on the interface. The aforementioned browsing behavior type can be, but is not limited to, at least one of the following: top to bottom, left to right. The aforementioned top to bottom can represent that the user browses the various page modules or controls included in the interface in a top-to-bottom order. The aforementioned left to right can represent that the user browses the various page modules or controls included in the interface in a left-to-right order. The aforementioned topic display style information can represent the display style of the pushed topic on the page. The aforementioned topic display style information can include, but is not limited to, topic display color and topic display font. The aforementioned topic display color can be the color of the pushed topic displayed on the page. The aforementioned topic display font can be the font of the pushed topic displayed on the page. In practice, the aforementioned implementing entities can obtain historical browsing behavior information sequences and topic display style information corresponding to the aforementioned user identifiers from the database via wired or wireless connections.

[0078] The second step involves determining the browsing interval duration for any two adjacent historical browsing behavior records within the aforementioned historical browsing behavior information sequence, specifically, the time interval between these two records. These two adjacent historical browsing behavior records refer to any two historical browsing behavior records that are sequentially adjacent within the aforementioned historical browsing behavior information sequence.

[0079] The third step is to determine the variance of each browsing interval as the duration variance.

[0080] Fourth step: In response to determining that the aforementioned duration variance meets the preset variance condition, the aforementioned historical browsing behavior information sequence is input into the pre-trained first predictive browsing behavior information generation model to obtain predicted browsing behavior information. The aforementioned preset variance condition can be that the duration variance is less than a preset duration variance. The aforementioned preset duration variance can be a pre-set variance representing a smaller fluctuation in the duration of the interval. The aforementioned first predictive browsing behavior information generation model can be a time series prediction model suitable for short-term prediction, taking the historical browsing behavior information sequence as input and predictive browsing behavior information as output. For example, the aforementioned time series prediction model can be an exponential smoothing method or a trend extrapolation method. The aforementioned predicted browsing behavior information can be the predicted user browsing behavior. The aforementioned predicted browsing behavior information can include, but is not limited to, the predicted browsing behavior type. The aforementioned predicted browsing behavior type can be the predicted browsing behavior type.

[0081] Fifth, in response to the determination that the aforementioned duration variance does not meet the aforementioned preset variance condition, the aforementioned historical browsing behavior information sequence is input into the pre-trained second predictive browsing behavior information generation model to obtain predicted browsing behavior information. The aforementioned second predictive browsing behavior information generation model can be a time series prediction model suitable for long-term prediction, taking the historical browsing behavior information sequence as input and predictive browsing behavior information as output. For example, the aforementioned time series prediction model can be an ARIMA model (Autoregressive Integrated Moving Average Model).

[0082] Step 6: In response to determining that the predicted browsing behavior information satisfies the preset first browsing behavior condition, the preset first layout style is determined as the layout style. The preset first browsing behavior condition can be that the predicted browsing behavior type included in the predicted browsing behavior information is from top to bottom. The preset first layout style can be a pre-defined arrangement style of each push topic on the page. For example, the preset first layout style can be a vertical arrangement. The vertical arrangement can be that each push topic is arranged vertically from top to bottom on the page.

[0083] Step 7: In response to determining that the predicted browsing behavior information satisfies the preset second browsing behavior condition, the preset second layout style is determined as the layout style. The preset second browsing behavior condition can be that the predicted browsing behavior type included in the predicted browsing behavior information is from left to right. The preset second layout style can be a pre-defined arrangement style of each push topic on the page. For example, the preset second layout style can be a horizontal arrangement. The horizontal arrangement can be that each push topic is arranged horizontally in a "I" shape from left to right on the page.

[0084] Step 8: Based on the above-mentioned thematic display style information and layout style, display the above-mentioned target city operation monitoring thematic sequence on the city operation homepage of the corresponding city operation monitoring system. In practice, the above-mentioned implementing entity can display the above-mentioned target city operation monitoring thematic sequence on the city operation homepage of the corresponding city operation monitoring system according to the above-mentioned thematic display style information and layout style.

[0085] The above-described technical solution and related content, as an inventive point of this disclosure, solve the technical problem that "users' browsing habits change over time. Displaying the pushed topic sequence using a pre-set style requires resetting the display style when user habits change, leading to cumbersome user operations." Factors contributing to this cumbersome operation include: users' browsing habits change over time; displaying the pushed topic sequence using a pre-set style requires resetting the display style when user habits change, resulting in cumbersome operations. Solving these factors simplifies user operations. To achieve this, some embodiments of the city operation monitoring topic sequence display method in this disclosure determine a prediction model for user browsing behavior information by analyzing the interval between user browsing times. When the interval fluctuation is small, short-term prediction models can be used to predict user browsing behavior; when the interval fluctuation is large, long-term prediction models can be used to predict user browsing behavior, thereby improving the accuracy of predicting user browsing behavior. Then, the display style is determined based on the predicted user browsing behavior, eliminating the need for users to manually set the display style, thus simplifying user operations.

[0086] The above-described embodiments of this disclosure have the following beneficial effects: the urban operation monitoring topic sequence display method of some embodiments of this disclosure can simplify user operations. Specifically, the reason for the cumbersome user operations is that urban operation information changes daily and has timeliness. The attention given to the same urban operation monitoring topic varies at different times. Urban operation monitoring users pre-select and sort the various urban operation monitoring topics they need to view on the urban operation monitoring platform every day, and then display them on the homepage of the urban operation monitoring platform, thus causing cumbersome user operations. Based on this, the urban operation monitoring topic sequence display method of some embodiments of this disclosure firstly, in response to detecting the user login information of the corresponding urban operation monitoring system, performs identity verification processing on the user identifier included in the user login information to obtain verification information. Thus, the identity of the logged-in user can be verified, thereby improving the security of the system. Secondly, in response to determining that the above verification information meets the preset verification conditions, the user permission information and the user's subject identifier corresponding to the above user identifier are obtained. Thus, when the login user's identity verification is successful, the user's corresponding permissions can be obtained, which can be used to determine the urban operation monitoring topic set that the user can view. Then, the city operation monitoring topic set corresponding to the aforementioned user permission information is obtained. This allows us to determine the city operation monitoring topics that the user can view, which can then be used to determine which city operation monitoring topics are displayed on the homepage for the user to view. Next, the aforementioned city operation monitoring topic set and the aforementioned user identifier are input into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence. This allows for the automatic generation of city operation monitoring topic sequences that the user is interested in based on their own habits, thus automatically obtaining city operation monitoring topic sequences that closely match the user's needs. Then, based on the aforementioned city operation monitoring topic sequence and the aforementioned user's entity identifier, a target city operation monitoring topic sequence is generated. This results in city operation monitoring topics that are more closely aligned with the user's identity and work attributes. Finally, the aforementioned target city operation monitoring topic sequence is displayed on the city operation homepage page corresponding to the aforementioned city operation monitoring system. This allows for the display of various city operation monitoring topics, making them available for the user to view. Furthermore, because the display of various city operation monitoring topics can be automatically generated based on the user's own habits and identity, users no longer need to reselect various city operation monitoring topics every day, thus simplifying user operations.

[0087] Further reference Figure 2 As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of a city operation monitoring thematic sequence display device, which are similar to... Figure 1Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0088] like Figure 2 As shown, a city operation monitoring topic sequence display device 200 in some embodiments includes: a verification unit 201, a first acquisition unit 202, a second acquisition unit 203, an input unit 204, a generation unit 205, and a display unit 206. Specifically, the verification unit 201 is configured to, in response to detecting user login information for a corresponding city operation monitoring system, perform identity verification processing on the user identifier included in the user login information to obtain verification information; the first acquisition unit 202 is configured to, in response to determining that the verification information meets preset verification conditions, acquire user permission information corresponding to the user identifier and the identifier of the user's entity; the second acquisition unit 203 is configured to acquire a city operation monitoring topic set corresponding to the aforementioned user permission information; the input unit 204 is configured to input the city operation monitoring topic set and the aforementioned user identifier into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence; the generation unit 205 is configured to generate a target city operation monitoring topic sequence based on the city operation monitoring topic sequence and the identifier of the user's entity; and the display unit 206 is configured to display the target city operation monitoring topic sequence on the city operation homepage page corresponding to the city operation monitoring system.

[0089] It is understandable that the units recorded in the urban operation monitoring thematic sequence display device 200 are related to the reference. Figure 1 The steps in the described method correspond to each other. Therefore, the operations, features, and beneficial effects described above for the method also apply to the device 200 and the units contained therein, and will not be repeated here.

[0090] The following is for reference. Figure 3 This document illustrates a structural schematic of an electronic device 300 suitable for implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0091] like Figure 3As shown, the electronic device 300 may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. The RAM 303 also stores various programs and data required for the operation of the electronic device 300. The processing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0092] Typically, the following devices can be connected to I / O interface 305: input devices 306 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 307 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 308 including, for example, magnetic tapes, hard disks, etc.; and communication devices 309. Communication device 309 allows electronic device 300 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 3 An electronic device 300 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 3 Each box shown can represent a device or multiple devices as needed.

[0093] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program 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 device 309, or installed from storage device 308, or installed from ROM 302. When the computer program is executed by processing device 301, it performs the functions defined in the methods of some embodiments of this disclosure.

[0094] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0095] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0096] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to: in response to detecting user login information for a corresponding city operation monitoring system, perform authentication processing on the user identifier included in the user login information to obtain authentication information; in response to determining that the authentication information meets preset authentication conditions, obtain user permission information and the user's entity identifier corresponding to the aforementioned user identifier; obtain a city operation monitoring thematic set corresponding to the aforementioned user permission information; input the aforementioned city operation monitoring thematic set and the aforementioned user identifier into a pre-trained city operation monitoring thematic sequence generation model to obtain a city operation monitoring thematic sequence; generate a target city operation monitoring thematic sequence based on the aforementioned city operation monitoring thematic sequence and the aforementioned user's entity identifier; and display the target city operation monitoring thematic sequence on the city operation homepage page corresponding to the aforementioned city operation monitoring system.

[0097] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0098] 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 this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a 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, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, 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.

[0099] The units described in some embodiments of this disclosure can be implemented in software or hardware. The described units can also be housed in a processor; for example, a processor may be described as including a verification unit, a first acquisition unit, a second acquisition unit, an input unit, a generation unit, and a display unit. The names of these units do not necessarily limit the specific unit itself; for example, a verification unit may also be described as "a unit that, in response to detecting user login information of a corresponding city operation monitoring system, performs identity verification processing on the user identifier included in the user login information to obtain verification information."

[0100] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0101] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A method for displaying thematic sequences of urban operation monitoring, comprising: In response to the detection of user login information for the corresponding city operation monitoring system, the user identifier included in the user login information is subjected to identity verification processing to obtain verification information; In response to determining that the verification information meets the preset verification conditions, the user permission information and the entity identifier to which the user belongs are obtained corresponding to the user identifier; Obtain the city operation monitoring thematic set corresponding to the user permission information; The urban operation monitoring thematic set and the user identifier are input into a pre-trained urban operation monitoring thematic sequence generation model to obtain an urban operation monitoring thematic sequence. Based on the city operation monitoring thematic sequence and the user's entity identifier, a target city operation monitoring thematic sequence is generated, including: Retrieve the sequence of city news hotspots and historical event information corresponding to the current time; For each city news hotspot information included in the city news hotspot information sequence, a correlation analysis is performed on the city news hotspot information and the historical event information to obtain correlation information. Based on the obtained correlation information, the news hotspots of each city included in the city news hotspot information sequence are sorted to obtain the target city news hotspot information sequence. The target city operation monitoring thematic sequence is generated based on the city operation monitoring thematic sequence, the target city news hotspot information sequence, and the user's entity identifier. The target city operation monitoring topic sequence is displayed on the city operation homepage page corresponding to the city operation monitoring system.

2. The method according to claim 1, wherein, The urban operation monitoring thematic set was generated on the permission configuration terminal through the following steps: The city operation monitoring topic display interface displays a preset city operation monitoring topic module group, wherein each preset city operation monitoring topic module in the preset city operation monitoring topic module group corresponds to a preset city operation monitoring topic, and each preset city operation monitoring topic module in the preset city operation monitoring topic module group includes a homepage display control; In response to detecting a selection operation performed on any homepage display control included in the preset city operation monitoring topic module group, the preset city operation monitoring topic corresponding to the arbitrary homepage display control is determined as the city operation monitoring topic; The identified city operation monitoring topics are defined as the city operation monitoring topic sets corresponding to the user permission information.

3. The method according to claim 1, wherein, The correlation analysis of the city's news hotspots and historical events to obtain correlation information includes: Feature extraction processing is performed on the urban news hotspot information to obtain hotspot feature information; The historical event information is subjected to feature extraction processing to obtain historical event feature information; Similarity processing is performed on the hotspot feature information and the historical event feature information to obtain similarity information; The similarity information is determined as the correlation information.

4. The method according to claim 1, wherein, The step of sorting the various city news hotspot information included in the city news hotspot information sequence based on the obtained correlation information to obtain the target city news hotspot information sequence includes: For each city news hotspot included in the city news hotspot information sequence, the following steps are performed: The position of the urban news hotspot information in the urban news hotspot information sequence is determined as the information position; The city news hotspot information corresponding to each of the obtained correlation information is determined as the target correlation information; The preset association score corresponding to the target association information is determined as the association score; The preset hotspot score corresponding to the information position is determined as the hotspot score; An information score is generated based on the association score and the hotspot score; Based on the generated information scores, the various city news hotspot information included in the city news hotspot information sequence are sorted to obtain the target city news hotspot information sequence.

5. A display device for urban operation monitoring thematic sequences, comprising: The verification unit is configured to, in response to detecting user login information of the corresponding city operation monitoring system, perform identity verification processing on the user identifier included in the user login information to obtain verification information; The first acquisition unit is configured to acquire user permission information and user entity identifier corresponding to the user identifier in response to determining that the verification information meets the preset verification conditions. The second acquisition unit is configured to acquire a city operation monitoring thematic set corresponding to the user permission information; The input unit is configured to input the urban operation monitoring thematic set and the user identifier into a pre-trained urban operation monitoring thematic sequence generation model to obtain an urban operation monitoring thematic sequence. The generation unit is configured to generate a target city operation monitoring thematic sequence based on the city operation monitoring thematic sequence and the user's subject identifier, including: Retrieve the sequence of city news hotspots and historical event information corresponding to the current time; For each city news hotspot information included in the city news hotspot information sequence, a correlation analysis is performed on the city news hotspot information and the historical event information to obtain correlation information. Based on the obtained correlation information, the news hotspots of each city included in the city news hotspot information sequence are sorted to obtain the target city news hotspot information sequence. The target city operation monitoring thematic sequence is generated based on the city operation monitoring thematic sequence, the target city news hotspot information sequence, and the user's entity identifier. The display unit is configured to display the target city operation monitoring topic sequence on the city operation homepage page corresponding to the city operation monitoring system.

6. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-4.

7. A computer-readable medium having a computer program stored thereon, wherein, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-4.

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