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

Abstract

The embodiment of the invention discloses a city operation monitoring thematic sequence display method, device and equipment and a readable medium. A specific embodiment of the method comprises the following steps: in response to detection of user login information corresponding to a 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 the preset verification condition, obtaining user permission information corresponding to the user identifier and a subject identifier to which the user belongs; acquiring a city 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 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 the city operation home page. According to the embodiment, user operation can be simplified.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device, equipment and readable medium for displaying a city operation monitoring thematic sequence. Background Art

[0002] With the rapid development of computer technology, urban operation monitoring users can timely learn about urban operation information through the urban monitoring platform. At present, when arranging and displaying various urban operation monitoring topics that urban operation monitoring users need to view, the method usually adopted is: urban operation monitoring users pre-select various urban operation monitoring topics that need to be viewed first on the urban monitoring platform every day and sort them, and then display them on the homepage of the urban operation monitoring platform.

[0003] However, the inventors have discovered that when the above-mentioned method is used to display the pushed topics, the following technical problems often occur: city operation information changes every day and is time-sensitive. The attention paid to the same city operation monitoring topic at different times is also different. City operation monitoring users pre-select the city operation monitoring topics that need to be viewed first on the city monitoring platform every day and sort them, and then display them on the homepage of the city operation monitoring platform, which makes user operations cumbersome.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0005] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0006] Some embodiments of the present disclosure propose a method, device, electronic device and computer-readable medium for displaying a city operation monitoring thematic sequence to solve the technical problems mentioned in the above background technology section.

[0007] In a first aspect, some embodiments of the present disclosure provide a method for displaying a city operation monitoring thematic sequence, the method comprising: in response to detecting user login information of a corresponding city operation monitoring system, performing identity authentication processing on a user identifier included in the above user login information to obtain verification information; in response to determining that the above verification information satisfies a preset verification condition, obtaining user authority information and a user entity identifier corresponding to the above user identifier; obtaining a city operation monitoring thematic set corresponding to the above user authority information; inputting the above city operation monitoring thematic set and the above user identifier into a pre-trained city operation monitoring thematic sequence generation model to obtain a city operation monitoring thematic sequence; generating a target city operation monitoring thematic sequence based on the above city operation monitoring thematic sequence and the above user entity identifier; and displaying the above target city operation monitoring thematic sequence on a city operation homepage page corresponding to the above city operation monitoring system.

[0008] In a second aspect, some embodiments of the present disclosure provide a device for displaying a city operation monitoring thematic sequence, the device comprising: a verification unit, configured to, in response to detecting user login information of a corresponding city operation monitoring system, perform identity authentication processing on a user identifier included in the above user login information to obtain verification information; a first acquisition unit, configured to, in response to determining that the above verification information satisfies a preset verification condition, obtain user authority information and a user entity identifier corresponding to the above user identifier; a second acquisition unit, configured to obtain a city operation monitoring thematic set corresponding to the above user authority information; an input unit, configured to input the above city operation monitoring thematic set and the above user identifier into a pre-trained city operation monitoring thematic sequence generation model to obtain a city operation monitoring thematic sequence; a generation unit, configured to generate a target city operation monitoring thematic sequence according to the above city operation monitoring thematic sequence and the above user entity identifier; and a display unit, configured to display the above target city operation monitoring thematic sequence on a city operation homepage page corresponding to the above city operation monitoring system.

[0009] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and 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 manner of the above-mentioned first aspect.

[0010] In a fourth aspect, some embodiments of the present 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 manner of the first aspect.

[0011] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the city operation monitoring topic sequence display method of some embodiments of the present disclosure can simplify user operations. Specifically, the reason for the cumbersome user operation is that the city operation information changes every day and has timeliness. The attention paid to the same city operation monitoring topic at different times is also different. The city operation monitoring user pre-selects and sorts the city operation monitoring topics that need to be viewed first on the city monitoring platform every day, and then displays them on the homepage of the city operation monitoring platform, which causes cumbersome user operations. Based on this, the city operation monitoring topic sequence display method of some embodiments of the present disclosure, first, in response to detecting the user login information of the corresponding city operation monitoring system, the user identification included in the above user login information is processed for identity authentication 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 condition, the user authority information corresponding to the above user identification and the subject identification of the user are obtained. Thus, when the identity authentication of the logged-in user is passed, the corresponding authority of the user can be obtained, which can be used to determine the city operation monitoring topic set that the user can view. Then, the city operation monitoring topic set corresponding to the above user authority information is obtained, thereby obtaining the city operation monitoring topic set that the user can view, which can be used to determine the various city operation monitoring topics displayed on the homepage for the user to view. Afterwards, the above city operation monitoring topic set and the above user identification are input into the pre-trained city operation monitoring topic sequence generation model to obtain the city operation monitoring topic sequence. Thus, the city operation monitoring topic sequence that the user is concerned about can be automatically generated according to the user's own habits, so that the city operation monitoring topic sequence that is more in line with the user's needs can be automatically obtained. Next, according to the above city operation monitoring topic sequence and the subject identification of the above user, the target city operation monitoring topic sequence is generated. Thus, various city operation monitoring topics that are more in line with the user's identity and work attributes can be obtained. Finally, the above target city operation monitoring topic sequence is displayed on the city operation homepage page corresponding to the above city operation monitoring system. Thus, various city operation monitoring topics can be displayed, so that users can view various city operation monitoring topics. Also, when displaying each city operation monitoring topic, a personalized city operation monitoring topic sequence can be automatically generated according to the user's own habits and identity for the user to view, providing information support for the user's decision-making, so that the user does not need to reselect each city operation monitoring topic every day. This can simplify user operations and facilitate user decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0013] Figure 1 is a flow chart of some embodiments of the method for displaying the city operation monitoring thematic sequence according to the present disclosure;

[0014] Figure 2 It is a schematic diagram of the structure of some embodiments of the city operation monitoring thematic sequence display device according to the present disclosure;

[0015] Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0016] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0017] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

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

[0019] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

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

[0021] With regard to the collection, storage, and use of user personal information (such as historical browsing behavior information) involved in this disclosure, before performing the corresponding operations, the relevant organizations or individuals shall fulfill their obligations, including conducting personal information security impact assessments, fulfilling the obligation to inform the personal information subject, and obtaining the authorization and consent of the personal information subject in advance, as well as comply with the provisions of relevant laws and regulations.

[0022] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0023] Figure 1 The process 100 of some embodiments of the city operation monitoring topic sequence display method according to the present disclosure is shown. The city operation monitoring topic sequence display method includes the following steps:

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

[0025] In some embodiments, the execution subject (e.g., computing device) of the city operation monitoring topic sequence display method may, in response to detecting the user login information of the corresponding city operation monitoring system, perform identity authentication processing on the user identification included in the above user login information to obtain verification information. Among them, the above city operation monitoring system may be a system for monitoring city operation data. The above city operation data may characterize the operation status of city operation. The above city operation data may include but is not limited to at least one of the following: city value realization (e.g., economic) data, city emergency data, and city traffic data. The above city value realization data may be the value realization data of the corresponding city. The above city value realization data may include but is not limited to the city's gross domestic product. The above city gross domestic product may be the gross domestic product of the corresponding city. The above city emergency data may be data of the corresponding city emergency event. The above city emergency data may include but is not limited to the type of emergency event and the emergency plan. The above emergency event type may be but is not limited to one of the following: earthquake, fire, and flood control. The above city traffic data may be the traffic data of the corresponding city. The above city traffic data may include but is not limited to the type of traffic operation. The above traffic operation type may be but is not limited to one of the following: unblocked, congested, and severely congested. The above-mentioned user login information may be information for the user to log in to the above-mentioned city operation monitoring system. The above-mentioned user login information may include but is not limited to a user identifier. The above-mentioned user identifier may be a unique identifier of the user. For example, the above-mentioned user identifier may be the user's ID number, or may be a QR code. The above-mentioned user may be a user who needs to monitor the operation of the city. For example, the above-mentioned user may be the mayor of the city, or may be the director of the transportation bureau of the corresponding city. The above-mentioned verification information may indicate whether the user identifier has been verified. In practice, the above-mentioned execution subject may, in response to detecting the user login information of the corresponding city operation monitoring system, perform identity authentication processing on the user identifier included in the above-mentioned user login information through a preset verification method to obtain verification information. The above-mentioned preset verification method may be a pre-set method for verifying the identity of the user. For example, the above-mentioned preset verification method may be CA (Certificate Authority) authentication.

[0026] Step 102, in response to determining that the verification information satisfies a preset verification condition, obtaining user authority information corresponding to the user identifier and the subject identifier to which the user belongs.

[0027] In some embodiments, the execution subject may obtain the user authority information and the user subject identification corresponding to the user identification in response to determining that the verification information meets the preset verification conditions. Among them, the preset verification conditions may be the verification information indicating that the user identification has been verified. The user authority information may indicate the number of corresponding city operation monitoring topics viewed by the user. The user authority information may include but is not limited to the permission type: first-level permission, second-level permission, and third-level permission. It should be noted that the higher the permission level, the more city operation monitoring topics that can be viewed. The city operation monitoring topic may be a topic to which the corresponding city operation information belongs. For example, the city operation monitoring topic may be but is not limited to one of the following: value realization development, traffic data, and emergency events. The user subject identification may be a unique identification of the user subject of the corresponding user. The user subject may be the subject to which the user belongs (for example, a department). In practice, the execution subject may obtain the user authority information and the user subject identification corresponding to the user identification from the database by wired connection or wireless connection in response to determining that the verification information meets the preset verification conditions. It should be noted that the above-mentioned 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 wireless connection methods currently known or to be developed in the future.

[0028] Step 103, obtaining the city operation monitoring topic set corresponding to the user authority information.

[0029] In some embodiments, the execution subject may obtain the city operation monitoring topic set corresponding to the user authority information. In practice, the execution subject may obtain the city operation monitoring topic set corresponding to the user authority information from a database through a wired connection or a wireless connection.

[0030] Optionally, the above-mentioned city operation monitoring special collection is generated in the authority configuration terminal through the following steps:

[0031] The first step is to display the preset city operation monitoring topic module group on the city operation monitoring topic display interface. Among them, the above-mentioned permission configuration terminal can be a terminal of the permission configuration user. The above-mentioned permission configuration user can be a user who configures corresponding permissions for users who monitor city operation. For example, the above-mentioned permission configuration user can be the mayor of the corresponding city. The above-mentioned city operation monitoring topic display interface can display the interface of each city operation monitoring topic of the corresponding city for the user. Each preset city operation monitoring topic module included in the above-mentioned 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-set page module for displaying the corresponding preset city operation monitoring topic. The above-mentioned preset city operation monitoring topic can be a pre-set city operation monitoring topic. Each preset city operation monitoring topic module included in the above-mentioned preset city operation monitoring topic module group can include but is not limited to a homepage display control. The above-mentioned homepage display control can be a control for allowing users to select the corresponding preset city operation monitoring topic to be displayed on the city operation homepage page of the above-mentioned city operation monitoring system. The above-mentioned city operation homepage page can be the first page to enter the city operation monitoring system.

[0032] In the second step, in response to detecting a selection operation on any homepage display control included in the preset city operation monitoring topic module group, the preset city operation monitoring topic corresponding to any homepage display control is determined as the city operation monitoring topic. The selection operation may be, but is not limited to, at least one of the following: click, slide, hover.

[0033] The third step is to determine each determined city operation monitoring topic as a city operation monitoring topic set corresponding to the above user authority information.

[0034] Step 104 , input the city operation monitoring topic set and the user identifier into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence.

[0035] In some embodiments, the execution subject may input the city operation monitoring topic set and the user identifier into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence. The city operation monitoring topic sequence generation model may be a neural network that takes the city operation monitoring topic set and the user identifier as input and takes the city operation monitoring topic sequence as output. The neural network may be a recurrent neural network. The city operation monitoring topics in the city operation monitoring topic sequence may be predicted city operation monitoring topics that need to be pushed to the user. The city operation monitoring topic sequence may be a sequence in which each city operation monitoring topic is arranged in descending order of user interest.

[0036] Step 105, generating a target city operation monitoring topic sequence according to the city operation monitoring topic sequence and the subject identifier of the user.

[0037] In some embodiments, the execution subject may generate a target city operation monitoring topic sequence based on the city operation monitoring topic sequence and the user's subject identifier. The target city operation monitoring topic sequence may be a sequence in which each city operation monitoring topic is arranged in descending order of predicted user interest. In practice, the execution subject may generate a target city operation monitoring topic sequence based on the city operation monitoring topic sequence and the user's subject identifier in various ways.

[0038] In the process of adopting technical solutions to solve the technical problems in the background technology, the following problems often arise: Technical Problem 2: How to improve the matching degree between the pushed topic sequence and user needs. In response to the above technical problem 2, the conventional solution is generally: according to the user's identity information and historical behavior information, determine the topics that need to be pushed based on the collaborative filtering model. However, the above conventional solution still has the following problems: the city operation information changes every day and is time-sensitive. The attention of city operation monitoring users to the same thing at different times is also different. The push topics are determined and sorted only based on the identity information and historical behavior information of the city operation monitoring users, resulting in the generated push topic sequence The degree of fit with the actual needs of the user is low, so when the generated push topic sequence is displayed in order, it causes the user to perform search operations and / or topic sorting operations again, which further causes cumbersome user operations.

[0039] In the face of the above technical problem 2, combined with the advantages of big data, the following solutions can be adopted:

[0040] In some optional implementations of some embodiments, the execution subject may generate a target city operation monitoring thematic sequence according to the city operation monitoring thematic sequence and the subject identifier of the user through the following steps:

[0041] The first step is to obtain the city news hot information sequence and historical event information corresponding to the current time. Among them, the above-mentioned current time can be a time point in date units. The above-mentioned city news hot information sequence can be a sequence in which each city news hot information is arranged in descending order of the corresponding news heat. The city news hot information in the above-mentioned city news hot information sequence can be a news topic of the hot news of the corresponding city, or it can be a news text of the hot news. The above-mentioned news heat can be the heat of the news counted on the news website of the corresponding city. The above-mentioned hot news can be the news heat of the corresponding news greater than the preset news heat. The above-mentioned preset news heat can be a pre-set characterization of news heat. The above-mentioned historical event information can be information about memorable events that occurred at the historical time point corresponding to the current time. For example, when the current date is October 1, the corresponding historical event information is "the founding of New China on October 1, 1949". For another example, when the current date is May 12, the corresponding historical event information is "the Wenchuan earthquake on May 12, 2008". In practice, the above-mentioned execution entity can obtain the city news hot information sequence and historical event information corresponding to the current time from the database through a wired connection or a wireless connection.

[0042] In the second step, for each city news hotspot information included in the above city news hotspot information sequence, the above city news hotspot information and the above historical event information are subjected to correlation analysis and processing to obtain correlation information. The above correlation information can characterize the degree of correlation between the city news hotspot information and the historical event information. In practice, for each city news hotspot information included in the above city news hotspot information sequence, the above execution subject can perform correlation analysis and processing on the above city news hotspot information and the above historical event information in various ways to obtain correlation information.

[0043] In some optional implementations of some embodiments, the execution subject may perform correlation analysis on the city news hotspot information and the historical event information to obtain correlation information through the following steps:

[0044] Step 1: Perform feature extraction processing on the above-mentioned city news hot information to obtain hot feature information. In practice, the above-mentioned execution subject can perform feature extraction processing on the above-mentioned city news hot information through a preset text feature extraction algorithm to obtain a hot feature vector as the hot feature information. Among them, the above-mentioned preset text feature extraction algorithm can be a pre-set algorithm for extracting text features. For example, the above-mentioned preset text feature extraction algorithm can be a TF-IDF (TermFrequency-Inverse Document Frequency) algorithm, or it can be a text feature extraction algorithm based on a long short-term memory network.

[0045] Step 2: Perform feature extraction on the historical event information to obtain historical event feature information. In practice, the execution subject may perform feature extraction on the historical event information using the preset text feature extraction algorithm to obtain a historical event feature vector as the historical event feature information.

[0046] Step 3: Perform similarity processing on the hotspot feature information and the historical event feature information to obtain similarity information. In practice, the execution entity may determine the cosine similarity of the hotspot feature information and the historical event feature information as the similarity information.

[0047] Step 4: Determine the above similarity information as association information.

[0048] The third step is to sort the city news hotspot information included in the above city news hotspot information sequence according to the obtained correlation information to obtain the target city news hotspot information sequence. The target city news hotspot information sequence may be a sequence obtained by re-arranging the city news hotspot information in combination with the historical events corresponding to the current time. In practice, the execution subject may sort the city news hotspot information included in the above city news hotspot information sequence according to the obtained correlation information in various ways to obtain the target city news hotspot information sequence.

[0049] In some optional implementations of some embodiments, the execution subject may sort the city news hotspot information included in the city news hotspot information sequence according to the obtained relevance information through the following steps to obtain the target city news hotspot information sequence:

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

[0051] In the first sub-step, the ranking of the city news hot spot information in the city news hot spot information sequence is determined as the information ranking.

[0052] In the second sub-step, the city news hotspot information corresponding to each of the obtained relevance information is determined as the target relevance information.

[0053] The third sub-step is to determine the preset correlation score corresponding to the target correlation information as the correlation score. The preset correlation score may be a pre-set score. It should be noted that the higher the correlation degree represented by the target correlation information, the higher the preset correlation score.

[0054] The fourth sub-step is to determine the preset hotspot score corresponding to the above information ranking as the hotspot score. The above preset hotspot score may be a pre-set score. It should be noted that the smaller the corresponding information ranking is, the higher the preset hotspot score is.

[0055] The fifth sub-step is to generate an information score according to the above-mentioned association score and the above-mentioned hot spot score. In practice, first, the above-mentioned execution entity may determine the product of the above-mentioned association score and the preset association weight as the first score. Among them, the above-mentioned preset association weight may be a preset representation of the degree of influence of the association degree on the ranking of the corresponding city news hot spot information. Secondly, the product of the above-mentioned hot spot score and the preset hot spot weight is determined as the second score. Among them, the above-mentioned preset hot spot weight may be a preset representation of the degree of influence of the news heat on the ranking of the corresponding city news hot spot information. It should be noted that the sum of the above-mentioned preset association weight and the above-mentioned preset hot spot weight may be 1. For example, the above-mentioned preset association weight may be 0.3, and the above-mentioned preset hot spot weight may be 0.7. Finally, the sum of the above-mentioned first score and the above-mentioned second score is determined as the information score.

[0056] Step 2: sort the city news hotspot information included in the city news hotspot information sequence according to the generated information scores to obtain the target city news hotspot information sequence. In practice, the execution subject may sort the city news hotspot information included in the city news hotspot information sequence according to the descending order of the generated information scores to obtain the target city news hotspot information sequence.

[0057] The fourth step is to generate a target city operation monitoring topic sequence based on the above-mentioned city operation monitoring topic sequence, the above-mentioned target city news hot information sequence and the above-mentioned user's subject identifier. In practice, the above-mentioned execution subject can generate a target city operation monitoring topic sequence based on the above-mentioned city operation monitoring topic sequence, the above-mentioned target city news hot information sequence and the above-mentioned user's subject identifier in various ways.

[0058] In some optional implementations of some embodiments, the execution subject may generate a target city operation monitoring topic sequence according to the city operation monitoring topic sequence, the target city news hot information sequence and the subject identifier of the user 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] In the first sub-step, the ranking of the above-mentioned urban operation monitoring topic in the above-mentioned urban operation monitoring topic sequence is determined as the target ranking.

[0061] The second sub-step is to determine the preset ranking score corresponding to the target ranking as the topic ranking score. The preset ranking score may be a preset score corresponding to the ranking. It should be noted that the smaller the target ranking, the higher the preset ranking score.

[0062] The third sub-step is to process the correlation between the above-mentioned city operation monitoring topic and the above-mentioned user's subject identifier to obtain identifier correlation information. In practice, the above-mentioned execution entity may input the above-mentioned city operation monitoring topic and the above-mentioned user's subject identifier into a pre-trained identifier correlation information generation model to obtain identifier correlation information. Among them, the above-mentioned identifier correlation information generation model may be a recurrent neural network that takes the city operation monitoring topic and the user's subject identifier as input and takes identifier correlation information as output. The above-mentioned identifier correlation information may include but is not limited to identifier correlation. The above-mentioned identifier correlation may be the correlation between the city operation monitoring topic and the user's subject identifier.

[0063] The fourth sub-step is to determine the preset subject identification association score corresponding to the above identification association information as the subject identification association score. The above preset subject identification association score may be a score that is pre-set to represent the association between the urban operation monitoring topic and the subject identification to which the user belongs. It should be noted that the greater the identification association included in the identification association information, the higher the preset subject identification association score.

[0064] The fifth sub-step is to execute the following sub-steps for each target city news hotspot information included in the target city news hotspot information sequence:

[0065] Sub-step one, performs correlation processing on the above-mentioned city news hot information and the above-mentioned city operation monitoring topic to obtain hot spot correlation information. In practice, first, the above-mentioned execution subject can perform feature extraction processing on the above-mentioned city news hot information through the above-mentioned preset text feature extraction algorithm to obtain a news hot spot vector. Then, perform feature extraction processing on the city operation monitoring topic through the above-mentioned preset text feature extraction algorithm to obtain a topic feature vector. Finally, the cosine similarity between the above-mentioned news hot spot vector and the above-mentioned topic feature vector is determined as the hot spot correlation information.

[0066] Sub-step 2: determining the preset hotspot correlation score corresponding to the hotspot correlation information as the hotspot score. The preset hotspot correlation score may be a pre-set score. It should be noted that the higher the hotspot correlation information, the higher the preset hotspot correlation score.

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

[0068] In the seventh sub-step, the ratio of the sum of the generated hotspot scores to the number of the hotspot information is determined as the hotspot average score.

[0069] The eighth sub-step is to generate a push score according to the above-mentioned topic ranking score, the above-mentioned subject identification association score and the above-mentioned hot spot average score. Among them, the above-mentioned push score can be the score for pushing the corresponding city operation monitoring topic to the user. In practice, the above-mentioned execution subject can determine the sum of the product of the above-mentioned topic ranking score and the preset topic ranking weight, the product of the above-mentioned subject identification association score and the preset subject identification association weight, and the product of the above-mentioned hot spot average score and the preset hot spot score weight as the push score. Among them, the above-mentioned preset topic ranking weight can be the weight of the ranking of the city operation monitoring topic in the city operation monitoring topic sequence that is preset to generate the push score. The above-mentioned preset subject identification association weight can be the weight of the association between the user's subject identification and the city operation monitoring topic that is preset to generate the push score. The above-mentioned preset hot spot score weight can be the weight of the preset news hot spot information that is preset to generate the push score. It should be noted that the sum of the above-mentioned preset topic ranking weight, the above-mentioned preset subject identification association weight and the above-mentioned preset hot spot score weight can be 1.

[0070] Step 2: sort the city operation monitoring topics included in the above city operation monitoring topic sequence according to the generated push scores to obtain the target city operation monitoring topic sequence. In practice, the above execution entity can sort the city operation monitoring topics included in the above 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 technical solution and its related contents, as an inventive point of the embodiments of the present disclosure, solve the technical problem that "city operation information changes every day and is time-sensitive. The attention of city operation monitoring users to the same thing at different times is also different. The push topics are determined and sorted only based on the identity information and historical behavior information of the city operation monitoring users, resulting in a low fit between the generated push topic sequence and the actual needs of users. When the generated push topic sequence is displayed in sequence, users need to perform search operations and / or topic sorting operations again, further causing cumbersome user operations". The factors that lead to cumbersome user operations are often as follows: city operation information changes every day and is time-sensitive. The attention of city operation monitoring users to the same thing at different times is also different. The push topics are determined and sorted only based on the identity information and historical behavior information of the city operation monitoring users, resulting in a low fit between the generated push topic sequence and the actual needs of users. When the generated push topic sequence is displayed in sequence, users need to perform search operations and / or topic sorting operations again, further causing cumbersome user operations. If the above factors are solved, the effect of simplifying user operations can be achieved. In order to achieve this effect, the city operation monitoring thematic sequence display method of some embodiments of the present invention not only determines and sorts the push topics based on the identity information and historical behavior information of the city operation monitoring users, but also takes into account the need for operation monitoring users to pay attention to the city's hot news in order to solve the actual needs of public opinion as soon as possible, and integrates the city's hot news with relevant information of historical events, thereby generating a thematic sequence that is more in line with the user's actual needs. Therefore, when the user views the target city operation monitoring thematic sequence, the user's search and sorting operations are reduced, thereby simplifying the user's operation.

[0072] Step 106, displaying the target city operation monitoring topic sequence on the city operation home page of the corresponding city operation monitoring system.

[0073] In some embodiments, the execution subject may display the target city operation monitoring topic sequence on the city operation home page corresponding to the city operation monitoring system. In practice, the execution subject may display the target city operation monitoring topic sequence on the city operation home page corresponding to the city operation monitoring system in various ways.

[0074] In the process of adopting technical solutions to solve the technical problems in the background technology, the following problems often arise: Technical Problem 3: How to display the pushed topic sequence to improve the user experience. In response to the above technical problem 3, the conventional solution is generally: the user pre-sets the display style to display the pushed topic sequence. However, the above conventional solution still has the following problem: the user's browsing habits will change over time. The pushed topic sequence is displayed by pre-setting the display style. When the user's habits change, the display style needs to be set again, resulting in cumbersome operation.

[0075] In the face of the above technical problem three, combined with the advantages of big data, the following solutions can be adopted:

[0076] In some optional implementations of some embodiments, the execution subject may display the target city operation monitoring topic sequence on the city operation homepage corresponding to the city operation monitoring system through the following steps:

[0077] The first step is to obtain the historical browsing behavior information sequence and the topic display style information corresponding to the above user identifier. Among them, the above historical browsing behavior information sequence can be a sequence in which each historical browsing behavior information is arranged in ascending order of time. The historical browsing behavior information in the above historical browsing behavior information sequence can represent the behavior of the user browsing the interface at the corresponding historical time point. The historical browsing behavior information can include but is not limited to the browsing behavior type. The above browsing behavior type can represent the type of the user's browsing behavior of the interface. The above browsing behavior type can be but is not limited to at least one of the following: from top to bottom, from left to right. The above from top to bottom can represent that the user browses in the order from top to bottom when browsing the various page modules or controls included in the interface. The above from left to right can represent that the user browses in the order from left to right when browsing the various page modules or controls included in the interface. The above topic display style information can represent the display style of the pushed topic in the page. The above topic display style information can include but is not limited to the topic display color and the topic display font. The above topic display color can be the color of the pushed topic displayed on the page. The above topic display font can be the font displayed on the page for the pushed topic. In practice, the execution subject may obtain the historical browsing behavior information sequence and thematic display style information corresponding to the user identifier from the database through a wired connection or a wireless connection.

[0078] In the second step, for any two adjacent pieces of historical browsing behavior information included in the above historical browsing behavior information sequence, the interval between the above two adjacent pieces of historical browsing behavior information is determined as the browsing interval. The above two adjacent pieces of historical browsing behavior information are any two pieces of historical browsing behavior information with adjacent positions in the above historical browsing behavior information sequence.

[0079] In the third step, the variance of the determined browsing interval durations is determined as duration variance.

[0080] In the fourth step, in response to determining that the above-mentioned duration variance satisfies the preset variance condition, the above-mentioned historical browsing behavior information sequence is input into the first predicted browsing behavior information generation model obtained by pre-training to obtain the predicted browsing behavior information. Among them, the above-mentioned preset variance condition may be that the duration variance is less than the preset duration variance. The above-mentioned preset duration variance may be a pre-set variance that characterizes the smaller fluctuation of the interval duration. The above-mentioned first predicted browsing behavior information generation model may be a time series prediction model suitable for short-term prediction that takes the historical browsing behavior information sequence as input and the predicted browsing behavior information as output. For example. The above-mentioned time series prediction model may be an exponential smoothing method or a trend extrapolation method. The above-mentioned predicted browsing behavior information may be the browsing behavior of the predicted user. The above-mentioned predicted browsing behavior information may include but is not limited to the predicted browsing behavior type. The above-mentioned predicted browsing behavior type may be a predicted browsing behavior type.

[0081] Step 5: In response to determining that the duration variance does not meet the preset variance condition, the historical browsing behavior information sequence is input into a pre-trained second predicted browsing behavior information generation model to obtain predicted browsing behavior information. The second predicted browsing behavior information generation model may be a time series prediction model suitable for long-term prediction that takes the historical browsing behavior information sequence as input and outputs the predicted browsing behavior information. For example, the time series prediction model may be an ARIMA model (Autoregressive Integrated Moving Average Model).

[0082] In 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 may be that the predicted browsing behavior type included in the predicted browsing behavior information is from top to bottom. The preset first layout style may be a preset arrangement style of each push topic in the page. For example, the preset first layout style may be a vertical arrangement. The vertical arrangement may be that each push topic is arranged vertically from top to bottom in the page.

[0083] In the seventh step, 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 may be that the predicted browsing behavior type included in the predicted browsing behavior information is from left to right. The preset second layout style may be a preset arrangement style of each push topic in the page. For example, the preset second layout style may be a horizontal arrangement. The horizontal arrangement may be that each push topic is arranged horizontally in a straight line from left to right on the page.

[0084] Step 8: Display the above-mentioned target city operation monitoring topic sequence on the city operation homepage page corresponding to the above-mentioned city operation monitoring system according to the above-mentioned topic display style information and the above-mentioned layout style. In practice, the above-mentioned execution entity may display the above-mentioned target city operation monitoring topic sequence on the city operation homepage page corresponding to the above-mentioned city operation monitoring system according to the above-mentioned topic display style information and the above-mentioned layout style.

[0085] The above technical solution and its related contents, as an inventive point of the embodiments of the present disclosure, solve the technical problem that "the browsing habits of users will change over time. When the user's habits change, the pushed topic sequence is displayed by pre-setting the display style. When the user's habits change, the display style needs to be set again, resulting in cumbersome user operations". The factors that lead to cumbersome user operations are often as follows: the browsing habits of users will change over time. When the pushed topic sequence is displayed by pre-setting the display style, when the user's habits change, the display style needs to be set again, resulting in cumbersome operations. If the above factors are solved, the effect of simplifying user operations can be achieved. In order to achieve this effect, the method for displaying the topic sequence of urban operation monitoring in some embodiments of the present disclosure determines a prediction model for predicting user browsing behavior information by analyzing the interval duration of the user's browsing time. When the interval duration fluctuates slightly, the user's browsing behavior can be predicted based on the short-term prediction model. When the interval duration fluctuates greatly, the user's browsing behavior can be predicted based on the long-term prediction model, thereby improving the accuracy of the predicted user's browsing behavior. Then, the display style is determined based on the predicted user's browsing behavior, so that the user does not need to set the display style by himself, thereby simplifying the user operation.

[0086] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the city operation monitoring topic sequence display method of some embodiments of the present disclosure can simplify user operations. Specifically, the reason for the cumbersome user operation is that the city operation information changes every day and has timeliness. The attention paid to the same city operation monitoring topic at different times is also different. The city operation monitoring user pre-selects and sorts the city operation monitoring topics that need to be viewed first on the city monitoring platform every day, and then displays them on the homepage of the city operation monitoring platform, which causes cumbersome user operations. Based on this, the city operation monitoring topic sequence display method of some embodiments of the present disclosure, first, in response to detecting the user login information of the corresponding city operation monitoring system, the user identification included in the above user login information is processed for identity authentication 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 condition, the user authority information corresponding to the above user identification and the subject identification of the user are obtained. Thus, when the identity authentication of the logged-in user is passed, the corresponding authority of the user can be obtained, which can be used to determine the city operation monitoring topic set that the user can view. Then, the city operation monitoring topic set corresponding to the above user authority information is obtained, thereby obtaining the city operation monitoring topic set that the user can view, which can be used to determine the various city operation monitoring topics displayed on the homepage for the user to view. Afterwards, the above city operation monitoring topic set and the above user identification are input into the pre-trained city operation monitoring topic sequence generation model to obtain the city operation monitoring topic sequence. Thus, the city operation monitoring topic sequence that the user is concerned about can be automatically generated according to the user's own habits, so that the city operation monitoring topic sequence that is more in line with the user's needs can be automatically obtained. Next, according to the above city operation monitoring topic sequence and the subject identification of the above user, the target city operation monitoring topic sequence is generated. Thus, various city operation monitoring topics that are more in line with the user's identity and work attributes can be obtained. Finally, the above target city operation monitoring topic sequence is displayed on the city operation homepage page corresponding to the above city operation monitoring system. Thus, various city operation monitoring topics can be displayed, so that users can view various city operation monitoring topics. Also, because when displaying various city operation monitoring topics, the city operation monitoring topic sequence that the user is concerned about can be automatically generated according to the user's own habits and identity, so that the user does not need to reselect various city operation monitoring topics every day, thereby simplifying user operations.

[0087] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a city operation monitoring thematic sequence display device, and these device embodiments 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, the city operation monitoring thematic sequence display device 200 of 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. The verification unit 201 is configured to, in response to detecting the user login information of the corresponding city operation monitoring system, perform identity authentication processing on the user identification included in the above user login information to obtain verification information; the first acquisition unit 202 is configured to, in response to determining that the above verification information meets the preset verification condition, obtain the user authority information and the subject identification of the user corresponding to the above user identification; the second acquisition unit 203 is configured to obtain the city operation monitoring thematic set corresponding to the above user authority information; the input unit 204 is configured to input the above city operation monitoring thematic set and the above user identification into the pre-trained city operation monitoring thematic sequence generation model to obtain the city operation monitoring thematic sequence; the generation unit 205 is configured to generate the target city operation monitoring thematic sequence according to the above city operation monitoring thematic sequence and the above user subject identification; the display unit 206 is configured to display the above target city operation monitoring thematic sequence on the city operation home page corresponding to the above city operation monitoring system.

[0089] It is understandable that the units recorded in the city operation monitoring special sequence display device 200 are similar to the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 200 and the units included therein, and will not be described in detail here.

[0090] Reference below Figure 3 , which shows a schematic diagram of the structure 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, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0091] like Figure 3As shown, the electronic device 300 may include a processing device (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. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0092] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0093] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

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

[0095] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0096] The computer-readable medium may be included in the electronic device; or it may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: in response to detecting the user login information of the corresponding city operation monitoring system, performs identity authentication processing on the user identification included in the user login information to obtain verification information; in response to determining that the verification information meets the preset verification conditions, obtains the user authority information and the subject identification of the user corresponding to the user identification; obtains the city operation monitoring topic set corresponding to the user authority information; inputs the city operation monitoring topic set and the user identification into the pre-trained city operation monitoring topic sequence generation model to obtain the city operation monitoring topic sequence; generates the target city operation monitoring topic sequence according to the city operation monitoring topic sequence and the subject identification of the user; and displays the target city operation monitoring topic sequence on the city operation homepage page corresponding to the city operation monitoring system.

[0097] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 a remote computer, the remote computer may 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 may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0098] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0099] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor including a verification unit, a first acquisition unit, a second acquisition unit, an input unit, a generation unit, and a display unit. Among them, the names of these units do not constitute limitations on the units themselves in certain circumstances, for example, the verification unit may also be described as "a unit that, in response to detecting user login information corresponding to the city operation monitoring system, performs identity authentication processing on the user identification included in the above user login information to obtain verification information".

[0100] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0101] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for displaying a special sequence of urban operation monitoring, comprising: In response to detecting user login information corresponding to the city operation monitoring system, performing identity authentication processing on a user identifier included in the user login information to obtain verification information; In response to determining that the verification information satisfies a preset verification condition, obtaining user authority information corresponding to the user identifier and an identifier of a subject to which the user belongs; Obtaining a city operation monitoring topic set corresponding to the user authority information; Inputting the city operation monitoring topic set and the user identifier into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence; Generate a target city operation monitoring topic sequence according to the city operation monitoring topic sequence and the subject identifier of the user; The target city operation monitoring topic sequence is displayed on the city operation home page corresponding to the city operation monitoring system.

2. The method according to claim 1, wherein: The step of generating a target city operation monitoring topic sequence according to the city operation monitoring topic sequence and the subject identifier to which the user belongs includes: Get the city news hot information sequence and historical event information corresponding to the current time; For each city news hot spot information included in the city news hot spot information sequence, performing correlation analysis on the city news hot spot information and the historical event information to obtain correlation information; According to the obtained information of each degree of relevance, the city news hotspot information included in the city news hotspot information sequence is sorted to obtain the target city news hotspot information sequence; A target city operation monitoring topic sequence is generated according to the city operation monitoring topic sequence, the target city news hot information sequence and the subject identifier to which the user belongs.

3. The method according to claim 1, wherein: The city operation monitoring special collection is generated in the authority configuration terminal through the following steps: A preset city operation monitoring topic module group is displayed on the city operation monitoring topic display interface, wherein each preset city operation monitoring topic module included 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 included in the preset city operation monitoring topic module group includes a home page display control; In response to detecting a selection operation acting on any home page display control included in the preset city operation monitoring topic module group, determining the preset city operation monitoring topic corresponding to the any home page display control as the city operation monitoring topic; The determined city operation monitoring topics are determined as a city operation monitoring topic set corresponding to the user authority information.

4. The method according to claim 2, wherein: The performing of correlation analysis on the city news hotspot information and the historical event information to obtain correlation information includes: Performing feature extraction processing on the city news hot spot information to obtain hot spot feature information; Performing feature extraction processing on the historical event information to obtain historical event feature information; Performing similarity processing on the hotspot feature information and the historical event feature information to obtain similarity information; The similarity information is determined as association information.

5. The method according to claim 2, wherein: The process of sorting the city news hotspot information included in the city news hotspot information sequence according to the obtained correlation information to obtain the target city news hotspot information sequence includes: For each city news hot spot information included in the city news hot spot information sequence, the following steps are performed: Determine the position of the city news hot spot information in the city news hot spot information sequence as the information position; Determine the city news hotspot information corresponding to each of the obtained relevance information as target relevance information; Determining a preset correlation score corresponding to the target correlation information as a correlation score; Determine a preset hotspot score corresponding to the information ranking as a hotspot score; Generate an information score according to the association score and the hotspot score; According to the generated scores of each information, each city news hotspot information included in the city news hotspot information sequence is sorted to obtain a target city news hotspot information sequence.

6. A city operation monitoring special sequence display device, comprising: A verification unit is configured to, in response to detecting user login information of a corresponding city operation monitoring system, perform identity authentication processing on a user identifier included in the user login information to obtain verification information; A first acquisition unit is configured to acquire user authority information corresponding to the user identifier and a subject identifier to which the user belongs in response to determining that the verification information satisfies a preset verification condition; A second acquisition unit is configured to acquire a city operation monitoring topic set corresponding to the user authority information; An input unit is configured to input the city operation monitoring topic set and the user identifier into a pre-trained city operation monitoring topic sequence generation model to obtain a city operation monitoring topic sequence; A generating unit configured to generate a target city operation monitoring thematic sequence according to the city operation monitoring thematic sequence and the subject identifier to which the user belongs; The display unit is configured to display the target city operation monitoring topic sequence on the city operation home page corresponding to the city operation monitoring system.

7. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

8. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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