CN111814022A - Information publishing platform index pushing method and system based on collaborative filtering - Google Patents
Information publishing platform index pushing method and system based on collaborative filtering Download PDFInfo
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Abstract
The invention discloses an information publishing platform index pushing method and system based on collaborative filtering, belonging to the field of urban information management; the method comprises the following specific steps: s1, establishing a city operation management directory through a city data acquisition platform; s2, the connection of the communication terminal is realized through the gateway equipment by utilizing the city scheduling platform; s3, displaying and pushing data information by using the information publishing platform according to the current city index; according to the city management system, through construction of city information acquisition, cleaning, fusion and management of government affair data, internet of things data and video network data are achieved, the government affair data, the internet of things data and the video network data are externally released in a city operation index mode, a concerned index serves as a core, related associated indexes are pushed, an overall city management visual angle is formed, and an event scheduling platform is assisted to conduct and schedule index associated resources.
Description
Technical Field
The invention discloses an information publishing platform index pushing method and system based on collaborative filtering, and relates to the technical field of urban information management.
Background
The main problems facing city management:
1. the index has the isolation and no fusion of index information;
2. the index data updating mechanism is lagged behind;
3. indexes are not related and are only displayed singly;
4. when the indexes are abnormal, related personnel can not be directly scheduled;
5. the city manager lacks an integral mobile information release platform APP for basic level personnel to use;
at present, most of mobile government affair publishing platforms focus on indexes in each commission office, the indexes are not related from an overall angle, and flow command and scheduling cannot be carried out on problem indexes.
The invention provides a city information publishing platform based on collaborative filtering, and aims to solve the problems that city operation indexes are single, untimely and unrelated at present.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an information publishing platform index pushing method and system based on collaborative filtering, and the adopted technical scheme is as follows: an information release platform index pushing method based on collaborative filtering comprises the following specific steps:
s1, establishing a city operation management directory through a city data acquisition platform;
s2, the connection of the communication terminal is realized through the gateway equipment by utilizing the city scheduling platform;
and S3, displaying and pushing the data information by using the information publishing platform according to the current city index.
The urban operation management system mainly realizes comprehensive and real-time data acquisition, cleaning and management through an urban data acquisition platform, forms a comprehensive urban operation management catalogue, and realizes data fusion through various technologies such as data mining and machine learning.
In the step S3, a collaborative filtering recommendation algorithm based on a user is adopted to obtain the city index, and the specific steps include:
s301, finding a user group similar to the interest of a target user by using a collaborative filtering recommendation algorithm;
s302, indexes that the users in the user group subscribe and the target user does not subscribe are found and recommended to the target user.
The specific steps of the S301 finding the user group with similar interest to the target user by using the collaborative filtering recommendation algorithm comprise;
s3011, customizing labels of operation indexes of each city;
s3012 records log information defined by each user by using the user behavior operation log.
The specific step of finding out the index that the user in the user group has subscribed and the target user has not subscribed to recommend the target user in S302 includes:
s3021, ranking subscribed indexes of each user;
s3022, recommending the difference index according to the difference of the subscribed indexes among different users.
The utility model provides an information issuing platform index push system based on collaborative filtering, side system specifically include data acquisition module, data scheduling module and data push module:
a data acquisition module: establishing a city operation management directory through a city data acquisition platform;
a data scheduling module: the city scheduling platform is used for realizing the connection of the communication terminal through the gateway equipment;
the data pushing module: and displaying and pushing the data information by using the information publishing platform according to the current city index.
The data acquisition module mainly realizes the comprehensive and real-time data acquisition, cleaning and treatment work, forms a comprehensive city operation management catalogue, and realizes data fusion through various technologies such as data mining and machine learning.
The data pushing module obtains city indexes by adopting a collaborative filtering recommendation algorithm based on users, and specifically comprises an inquiry positioning module and an index recommendation module:
the inquiry positioning module: finding out a user group similar to the interest of the target user by utilizing a collaborative filtering recommendation algorithm;
the index recommendation module: and finding out the index which is subscribed by the users in the user group and not subscribed by the target user, and recommending the index to the target user.
The query positioning module specifically comprises a label marking module and an information recording module;
a label marking module: performing label customization on each city operation index;
an information recording module: and recording the log information defined by each user through the user behavior operation log.
The index recommendation module specifically comprises an index sorting module and a subscription pushing module:
the index sorting module: ranking the subscribed indexes of each user;
a subscription promotion module: and recommending the difference index according to the difference of the subscribed indexes among different users.
The invention has the beneficial effects that:
according to the method, through construction of urban information collection, cleaning, fusion and management of government affair data, internet of things data and video network data are realized, the government affair data, the internet of things data and the video network data are externally released in a mode of urban operation indexes, a concerned index is taken as a core, related associated indexes are pushed, an overall urban management visual angle is formed, and an event scheduling platform is used for conducting command scheduling on index associated resources; the invention can provide the relevance of the city operation index, improve the city operation efficiency, enable the basic city manager to comprehensively and accurately find the problems, and solve the problems in a targeted manner through task distribution.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings described below are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention; fig. 2 is a schematic diagram of the system of the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
The first embodiment is as follows:
an information release platform index pushing method based on collaborative filtering comprises the following specific steps:
s1, establishing a city operation management directory through a city data acquisition platform;
s2, the connection of the communication terminal is realized through the gateway equipment by utilizing the city scheduling platform;
s3, displaying and pushing data information by using the information publishing platform according to the current city index;
firstly, according to S1, a city operation management directory is established through a city data acquisition platform,
then according to S2, the city dispatching platform is used to realize the connection of communication terminals through gateway equipment, the city dispatching platform completes the interconnection and intercommunication of various communication systems through the gateway equipment, realizes the cross-network calling and dispatching, provides a uniform dispatching interface, the commander can realize various dispatching operations for various communication terminals (such as analog phone, IP phone, mobile phone) through the dispatching desk, realizes the short message group sending and receiving functions of the dispatching desk and the parallel receiving and sending functions of multi-path faxes, the platform adopts the packet switching technology without the limitation of the number of concurrent calling paths, thereby opening communication interfaces among the committee offices, realizing the multi-office format of the order issuing and the order issuing, communication interfaces among all committees and offices are opened transversely through the brain of the city, so that a network of government affairs is formed, and the efficiency of commanding and dispatching the city is improved;
and finally, displaying and pushing the data information by using an information publishing platform according to the current city index according to S3, wherein the information publishing platform is divided into three user groups: leaders, community grid members and citizens of party administration and information centers, and the information publishing platform provides urban operation sign index data for the leaders of the party administration and the information centers, current hot news information, an instant meeting environment and the like, provides a way for the community grid members to feed back urban problems, and provides specific viewable urban indexes, hot news information, social activities and the like for vast citizens.
The maintenance of modules such as city sign data display, real-time hot news reading, item management, conference management, personal management center and the like is realized through the construction of an information release platform.
The user can be promoted by the information publishing platform, the latest mobile internet technology can be fully utilized, the government decision and city management capabilities are comprehensively improved, the time flow supervision is transparent, and the communication capability between citizens and the government and the participation sense of the citizens are enhanced.
After data is collected, gathered and analyzed, the data information is displayed through the information publishing platform.
Furthermore, the comprehensive and real-time data acquisition, cleaning and treatment work is mainly realized through a city data acquisition platform, a comprehensive city operation management catalogue is formed, and data fusion is realized through various technologies such as data mining and machine learning;
the city information acquisition platform has the functions of data standard, data catalogue, technical metadata, data acquisition, data processing, data quality and data labels, wherein:
1. data standards
The data standard has four functions of data standard overview, data directory standard, data element standard, data dictionary and the like.
Data standard overview: data element classification statistics, metadata update amount statistics (week and month statistics can be viewed), data element statistical analysis, and data element popularity ranking can be viewed.
Data directory standards: the existing directory can be searched, edited and deleted, and a new directory can be added.
Data element standard: existing data elements can be searched, edited and deleted, and new data elements can be added.
A data dictionary: the existing dictionary information can be searched and checked, or the existing dictionary information can be edited and deleted, and a new dictionary can be added.
2. Data directory
And (3) directory browsing: the basic information of the directory can be viewed, and the operation of accessing resources can be executed.
The catalog definition: a new directory can be defined, divided into basic information maintenance and data item maintenance.
And (3) directory maintenance: the catalog can be searched, the operations of 'submitting', 'editing' and 'deleting' can be executed on part of the catalog, a new catalog can be added, the Excel imports the new catalog, the catalog is selected to be submitted, and the catalog is deleted.
Directory approval, namely, the directory can be searched and the 'pass' and 'reject' operation can be executed on the directory, and the 'batch pass' and 'batch reject' operation can also be executed on a plurality of directories.
And (4) directory publishing: the method can search the catalog to be published and check the catalog information, can execute the operations of online, offline and offline of the file for the current catalog, can also execute the operation of generating and downloading the file for the online catalog, and can also execute the operations of online and offline in batches for the catalogs in batches.
And (4) catalog statistics: the statistical information such as the total number of data catalogues, the source distribution of the data catalogues, the theme distribution of the data catalogues, the number of newly added data catalogues, the number of data, the number of newly added data and the like can be checked.
3. Technical metadata
Metadata overview: data source type statistics, metadata update volume statistics (statistics for the last 7 days and the last 30 days can be viewed), data format statistics, and metadata tag usage statistics can be viewed.
Database metadata: the data source can be checked and added, the database in the data source can be checked, modified and deleted, and a new database can be added.
4. Data acquisition
Task definition: the definition of the task can be completed in a mode of file import and data synchronization.
Task management: this module can view tasks, create collection tasks, and manage tasks.
Scheduling and monitoring: the module can check the state of the data acquisition task in real time and can carry out scheduling.
Statistical analysis: the statistical analysis condition of the data collected by the file import mode can be checked. The statistics of the last 7 days or the last 30 days can be checked, and the statistics of a certain day can also be checked.
5. Data processing
Scheduling and monitoring: the status of the data processing task can be viewed and scheduled.
Statistical analysis: statistical analysis of the data processing can be viewed. The statistics of the last 7 days or the last 30 days can be checked, and the statistics of a certain day can also be checked.
6. Quality of data
The quality of the olive: the integration dynamics, inspection rule classification statistics, and inspection plan department distribution can be viewed.
Quality rules are as follows: the module can edit rules, delete rules, or add new rules.
The detection scheme comprises the following steps: the detection scheme can be checked, and editing, deleting and adding operations can be carried out, and the detection method and the adding method can also be checked.
And (3) detection report: the list of detection schemes can be viewed, as well as the detection reports.
7. Data label
Labeling olives: the data label distribution map, the label heat ranking and the label quantity ranking can be checked.
Label relationship: manageable tag relationships may be viewed.
And (3) label management: the tag list can be checked according to the tag dimension, the tag content can be edited, tags can be added, the tags can be imported and exported in batches, and the tags can be deleted.
Label dimension: the module can perform editing, adding and deleting operations of the label dimension.
Further, in S3, a collaborative filtering recommendation algorithm based on the user is adopted to obtain the city index, and the specific steps include:
s301, finding a user group similar to the interest of a target user by using a collaborative filtering recommendation algorithm;
s302, indexes that the users in the user group subscribe and the target user does not subscribe are found and recommended to the target user;
after the user logs in, the user can see hot headline news which is played in a rolling mode through the home page, and a private work table of the user can be defined. The workbench provides quick link entries such as news subscription, backlog management, instant conferencing, city index presentation, personal centers, message notification and the like.
The home page can simply and comprehensively show the function module of the information publishing APP to the user, and quickly and effectively realize related functions such as event processing, city index subscription and the like.
The city operation sign index is a comprehensive measurement index for measuring the city operation condition, and the reasonable index can be used for judging the rationality of city planning design, the rationality of functional partitions, the rationality of industrial layout, the rationality of traffic networks, the suitability degree of city residents, the sufficiency degree of human resource utilization, the scientific degree of city management and the like.
The city operation index sign index lake comprises index systems of all aspects such as city economy, government affair service, night economy, environmental protection, health medical treatment, transportation, grid treatment, cultural education, flood prevention and drought resistance. The index system in the index lake can be divided into the following categories according to the mechanism where the login user is located: general indexes, district-county level indexes, street handling indexes, commission bureau indexes and citizen indexes.
And according to the authority division of the login user, the login user is divided into a leader of a party administration organ and an information center, a community grid member and citizens. For example, for a government leader, tens of organizations including development and reform committees, statistical offices, health and wellness committees, and business offices, the emphasis on the targets of interest varies from one organization to another.
The sign index module of the log-in user running in the city can check indexes and index data of the relevant modules. For example, a user can check an index system of urban economy, secondary indexes of the urban economy can cover total regional production value, three-yield distribution, market subject, resident income and the like, and for the secondary indexes of the total regional production value, a chart of related secondary indexes can be checked to display the urban operation state in a more visual and visual mode.
With the continuous development of cities, the responsibility of city managers turns from single to comprehensive, and how to find the current city index in the fastest time is one of the difficulties faced by city managers to solve the problem.
Finding out a user group similar to the interest of the target user by utilizing a collaborative filtering recommendation algorithm according to S301;
s302, indexes that the users in the user group subscribe and the target user does not subscribe are found and recommended to the target user;
and (4) broadcasting hot news with high searching popularity in the home page of the information publishing platform in turn, and quickly entering a news reading interface after a login user clicks. In addition to showing hot news in a home page, the urban news information module comprises massive news information and mainly provides local hot news, local breaking news, local result showing, news dynamics of a targeted city and the like, in addition to news sources, news release dates, reading times and the like, the urban news information page emphasizes news topics in a highlight mode, and a login user can easily and simply refresh the hot news at any time by sliding a screen downwards.
The information publishing platform can push related news information according to the reading preference of the user logging in the page. The news push is a window for communication between the information publishing platform and the user, and proper push information is used, so that the user viscosity can be improved on one hand, and the user can conveniently and quickly know the development of the concerned events on the other hand.
The information issuing platform item management comprises five parts of my task, work plan, flow distribution, event reminding and task to be handled.
All task details participated by the login user are displayed in the My task.
The work plan lists the events that the logged-on user currently wishes to resolve as quickly as possible, with the goal of being quickly and accurately discovered when the event occurs.
Flow dispatch can quickly resolve related events and minimize adverse effects of the events. After the event occurs, the details of the event and the event diagnosis notification are distributed to the relevant personnel. For each event, a priority and classification should be determined to ensure that the event is assigned to the appropriate handler.
The task to be handled is used for reminding the current login user of the event condition to be processed and implementing the solution of the items to be processed, and belongs to the next step of flow distribution.
The event reminder may show the processing progress of the relevant item to the currently logged-on user. For example, when the event handler completes the solution of the item, the solved item is returned to the item dispatcher, and the item dispatcher confirms the result.
Meeting management in the information issuing platform can help current users become meeting organizer convenient and fast, and the meeting is arranged and meeting on-the-spot management and control is carried out to meeting easy anytime and anywhere, improves meeting efficiency of meeting participants, saves a large amount of printing expenses and projection equipment simultaneously, accords with national low carbon, environmental protection theory completely.
The conference management comprises three parts of conference reservation, conference holding and conference recording. The conference reservation comprises a reservation conference and an instant conference, and a conference organizer can upload conference materials in advance before the conference starts. The conference calling supports two modes of video conference and voice conference, and can also cover functions of electronic sign-in, conference task decomposition and issuing and the like. After the conference is finished, the conference recording file can be selected to be stored, and the conference summary file arranged by the conference organizer can be shared.
The user can check in the points in the information publishing platform, and the accumulated points can be exchanged for gifts in an information publishing mall.
The user can perform index consultation, question consultation and the like in the service hotline.
After logging in the information publishing platform, the user can authorize the WeChat login, obtain the concerned information public number of the user, and carry out the maintenance operations such as paying attention to the public number, canceling attention and the like. When the public number concerned by the user has information updating, the APP pushes the related information to the user, and the user can read the information in time.
The user can realize account safety maintenance, message pushing, system updating, system problem feedback and the like in the setting process.
Further, the specific step of S301 finding a user group with similar interest to the target user by using a collaborative filtering recommendation algorithm includes;
s3011, customizing labels of operation indexes of each city;
s3012, recording log information defined by each user through a user behavior operation log;
still further, the specific step of finding that the target user is recommended to the target user according to the index that the user in the user group has subscribed and the target user has no subscription in S302 includes:
s3021, ranking subscribed indexes of each user;
s3022 recommending the difference index according to the difference of subscribed indexes among different users;
and setting a user u, v, and enabling N (u) to represent an index set that u has positive feedback, and enabling N (v) to represent an index set that v has positive feedback.
The realization process is as follows:
first, an inverted list of metrics to users is created in S3021, and for each metric, a list of users who have performed behavior on the metric is stored. Let sparse matrix C [ u ] [ v ] ═ n (u) n (v). Then, assuming that the user u and the user v belong to the user list corresponding to K indexes in the inverted list at the same time, there is C [ u ] [ v ] ═ K. Therefore, the user list corresponding to each index in the inverted list can be scanned, and the C [ u ] [ v ] corresponding to every two users in the user list is added with 1, so that the C [ u ] [ v ] of all the users, which is not 0, can be obtained finally.
And the established sparse matrix is obtained by adding 1 to W [ A ] [ B ] and W [ B ] [ A ] for the index a, adding 1 to W [ A ] [ C ] and W [ C ] [ A ] for the index B, and the like.
And after the index subscription similarity between the users is obtained, recommending K user indexes most similar to the index subscription of the users to the users according to S3022. Measuring the interest degree of the user u in the index i according to a formula: s (u, K) includes K users with the closest interests to user u, n (i) is a set of users who have past behaviors to index i, Wuv is similarity of interests of user u and user v, and Rvi represents interest of user v in index i, and all Rvi ═ 1 because hidden feedback data of a single behavior is used.
Example two:
the utility model provides an information issuing platform index push system based on collaborative filtering, side system specifically include data acquisition module, data scheduling module and data push module:
a data acquisition module: establishing a city operation management directory through a city data acquisition platform;
a data scheduling module: the city scheduling platform is used for realizing the connection of the communication terminal through the gateway equipment;
the data pushing module: displaying and pushing data information by using an information publishing platform according to the current city index;
firstly, establishing a city operation management catalog through a city data acquisition platform according to a data acquisition module,
then the data dispatching module utilizes the city dispatching platform to realize the connection of the communication terminals through the gateway device, the city dispatching platform completes the interconnection and intercommunication of various communication systems through the gateway device, realizes the cross-network calling and dispatching, provides a uniform dispatching interface, commanders can realize various dispatching operations on various communication terminals (such as analog phones, IP phones, mobile phones and mobile phones) through the dispatching desk, realizes the short message group sending and receiving functions of the dispatching desk and the parallel receiving and sending functions of multi-channel faxes, the platform adopts the packet switching technology and is not limited by the number of concurrent calling circuits, thereby opening the communication interface between every commission office and implementing the multi-office format for upper order notification and lower order response, communication interfaces among all committees and offices are opened transversely through the brain of the city, so that a network of government affairs is formed, and the efficiency of commanding and dispatching the city is improved;
and finally, the data pushing module utilizes an information publishing platform to display and push data information according to the current city index, and the information publishing platform is divided into three user groups: leaders, community grid members and citizens of party administration and information centers, and the information publishing platform provides urban operation sign index data for the leaders of the party administration and the information centers, current hot news information, an instant meeting environment and the like, provides a way for feeding back urban problems for the community grid members, and provides specific viewable urban indexes, hot news information, community activities and the like for vast citizens.
The maintenance of modules such as city sign data display, real-time hot news reading, item management, conference management, personal management center and the like is realized through the construction of an information release platform.
The user can be promoted by the information publishing platform, the latest mobile internet technology can be fully utilized, the government decision and city management capabilities are comprehensively improved, the time flow supervision is transparent, and the communication capability between citizens and the government and the participation sense of the citizens are enhanced.
After data is collected, gathered and analyzed, the data information is displayed through the information publishing platform.
Furthermore, the data acquisition module mainly realizes the comprehensive and real-time data acquisition, cleaning and management work, forms a comprehensive city operation management catalog, and realizes data fusion through various technologies such as data mining, machine learning and the like;
further, a collaborative filtering recommendation algorithm based on a user is adopted in the data push module to obtain city indexes, and the data push module specifically comprises an inquiry positioning module and an index recommendation module:
the inquiry positioning module: finding out a user group similar to the interest of the target user by utilizing a collaborative filtering recommendation algorithm;
the index recommendation module: finding out indexes which are subscribed by the users in the user group and are not subscribed by the target user, and recommending the indexes to the target user;
furthermore, the query positioning module specifically comprises a label marking module and an information recording module;
a label marking module: performing label customization on each city operation index;
an information recording module: recording log information defined by each user through a user behavior operation log;
still further, the index recommending module specifically includes an index sorting module and a subscription pushing module:
the index sorting module: ranking the subscribed indexes of each user;
a subscription promotion module: recommending a difference index according to the difference of subscribed indexes among different users;
and setting a user u, v, and enabling N (u) to represent an index set that u has positive feedback, and enabling N (v) to represent an index set that v has positive feedback.
The realization process is as follows:
firstly, an inverted list of indexes to users is established through a label marking module, and a user list of behaviors generated on the indexes is stored for each index. Let sparse matrix C [ u ] [ v ] ═ n (u) n (v). Then, assuming that the user u and the user v belong to the user list corresponding to K indexes in the inverted list at the same time, there is C [ u ] [ v ] ═ K. Therefore, the user list corresponding to each index in the inverted list can be scanned, and the C [ u ] [ v ] corresponding to every two users in the user list is added with 1, so that the C [ u ] [ v ] of all the users, which is not 0, can be obtained finally.
And the established sparse matrix is obtained by adding 1 to W [ A ] [ B ] and W [ B ] [ A ] for the index a, adding 1 to W [ A ] [ C ] and W [ C ] [ A ] for the index B, and the like.
And after the index subscription similarity between the users is obtained, the subscription promotion module recommends K user indexes which are most similar to the user subscription. Measuring the interest degree of the user u in the index i according to a formula: s (u, K) includes K users with the closest interests to user u, n (i) is a set of users who have past behaviors to index i, Wuv is similarity of interests of user u and user v, and Rvi represents interest of user v in index i, and all Rvi ═ 1 because hidden feedback data of a single behavior is used.
The city scheduling platform described in the first and second embodiments specifically includes a city scheduling platform module, a city scheduling platform voice scheduling module, a city scheduling platform voice notification module, a city scheduling platform fax scheduling subsystem, a city scheduling platform infinite loop call module, a data query and statistics module, and a city scheduling platform Active control module, wherein:
1. city dispatching platform module
And realizing a voice access and voice exchange platform of the communication system.
A messaging subsystem. And a support component is provided for instant messaging of a platform server and a client.
And the subsystem interfaces are unified, so that the function integration, expansion and splitting are facilitated.
And the recording subsystem is used for realizing voice recording, a sound playing function and a recording query function of a single call, a group number, a conference, a trunking talkback and the like formed in the calling communication process.
And (4) communication data and operation records are persisted (stored in a database).
2. Voice scheduling module of urban scheduling platform
The module is based on a voice communication access and exchange platform and realizes the butt joint with communication networks such as a program control exchanger, a 350M, 800M, PSTN network, ISDN and the like. The method can schedule various terminal communication devices, and realize the scheduling functions of single call, group call, response, on-hook, hold, switch, negotiation, switching, three-party call, forced insertion, forced detachment and the like. Meanwhile, a plurality of different types of voice terminal equipment can be selected to initiate a multi-party conference, and conference control is carried out. The system automatically records the sound in the scheduling communication process of the whole system, and supports sound recording inquiry, sound recording retrieval, sound recording playback, sound recording downloading and unloading.
3. Voice notification module of city scheduling platform
And realizing voice notification based on a communication system interaction platform. And distributing the notification content to a scheduling seat or other communication terminal equipment in a voice mode. After the voice notification is sent to the communication terminal equipment, the terminal communication equipment rings, and the voice notification can be listened after the terminal communication equipment answers.
4. Fax scheduling subsystem of urban scheduling platform
The platform is provided with a special fax server which is used for uniformly receiving and sending fax files and storing the fax files. The fax scheduling system supports the transmission of scheduling files in the formats of Word, Excel, PPT, TXT, PDF and the like. The system is designed in a concurrent mode, so that the requirement that a plurality of scheduling agents simultaneously transmit multiple paths of faxes can be met, and the fax arrival voice prompt is supported. The system can receive and transmit the fax data through an analog communication route and a PRI digital communication route. The fax sending terminal number, the receiving number, the sending unit, the receiving unit, the name of the sender, the fax content file, the fax sending time, the fax receiving time and other information are stored persistently. And the query and statistics of the user are facilitated.
5. Loop-free calling module of urban dispatching platform
The wireless cluster circle calling module realizes dynamic group creation based on a software development interface of a mobile station provider, calls all mobile stations in a group at the same time, or sends short messages to all mobile stations in the group at the same time. In practical application, the method is provided for a map platform in an interface mode, when a plurality of mobile stations are circled on the map, the circled mobile stations are added into a temporary dynamic group, and a call is initiated to the dynamic group or a short message is sent.
6. Data query and statistics module
The data query and statistics module realizes the query and statistics function of the operation records of various functions.
7. ActiveX control module of city scheduling platform
The module realizes the integration of all application interfaces of the communication platform dispatching desk. The third-party platform is convenient to integrate and develop based on the C/S and B/S architecture modes, and the diversified business requirements of users are met.
Finally, it should be noted that: the above examples are only used to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An information issuing platform index pushing method based on collaborative filtering is characterized by comprising the following specific steps:
s1, establishing a city operation management directory through a city data acquisition platform;
s2, the connection of the communication terminal is realized through the gateway equipment by utilizing the city scheduling platform;
and S3, displaying and pushing the data information by using the information publishing platform according to the current city index.
2. The information distribution platform index pushing method based on collaborative filtering as claimed in claim 1, wherein the urban data acquisition platform is mainly used for achieving comprehensive and real-time data acquisition, cleaning and management, forming a comprehensive urban operation management catalogue, and achieving data fusion through various technologies such as data mining and machine learning.
3. The information distribution platform index pushing method based on collaborative filtering as claimed in claim 2, wherein in S3, a collaborative filtering recommendation algorithm based on a user is used to obtain a city index, and the method specifically includes:
s301, finding a user group similar to the interest of a target user by using a collaborative filtering recommendation algorithm;
s302, indexes that the users in the user group subscribe and the target user does not subscribe are found and recommended to the target user.
4. The information distribution platform index pushing method based on collaborative filtering as claimed in claim 3, wherein the specific step of S301 finding a user group with similar interest to a target user by using a collaborative filtering recommendation algorithm includes;
s3011, customizing labels of operation indexes of each city;
s3012 records log information defined by each user by using the user behavior operation log.
5. The information distribution platform index pushing method based on collaborative filtering as claimed in claim 5, wherein the specific step of S302 finding the index that the user in the user group has subscribed and the target user has not subscribed to recommend the index to the target user includes:
s3021, ranking subscribed indexes of each user;
s3022, recommending the difference index according to the difference of the subscribed indexes among different users.
6. The utility model provides an information issuing platform index push system based on collaborative filtering, characterized by the side system specifically include data acquisition module, data scheduling module and data push module:
a data acquisition module: establishing a city operation management directory through a city data acquisition platform;
a data scheduling module: the city scheduling platform is used for realizing the connection of the communication terminal through the gateway equipment;
the data pushing module: and displaying and pushing the data information by using the information publishing platform according to the current city index.
7. The information distribution platform index pushing system based on collaborative filtering as claimed in claim 6, wherein the data acquisition module mainly achieves comprehensive and real-time data acquisition, cleaning and management, forms a comprehensive city operation management catalog, and achieves data fusion through multiple technologies such as data mining and machine learning.
8. The system according to claim 7, wherein the data push module obtains the city index by using a collaborative filtering recommendation algorithm based on a user, and the data push module specifically includes a query positioning module and an index recommendation module:
the inquiry positioning module: finding out a user group similar to the interest of the target user by utilizing a collaborative filtering recommendation algorithm;
the index recommendation module: and finding out the index which is subscribed by the users in the user group and not subscribed by the target user, and recommending the index to the target user.
9. The information distribution platform index pushing system based on collaborative filtering as claimed in claim 8, wherein the query positioning module specifically includes a tag marking module and an information recording module;
a label marking module: performing label customization on each city operation index;
an information recording module: and recording the log information defined by each user through the user behavior operation log.
10. The collaborative filtering-based information distribution platform index pushing system according to claim 9, wherein the index recommending module specifically includes an index sorting module and a subscription pushing module:
the index sorting module: ranking the subscribed indexes of each user;
a subscription promotion module: and recommending the difference index according to the difference of the subscribed indexes among different users.
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CN112542245A (en) * | 2021-01-21 | 2021-03-23 | 山东勤成健康科技股份有限公司 | Resident health management medical big data platform |
CN112686637A (en) * | 2021-01-04 | 2021-04-20 | 浪潮云信息技术股份公司 | Government affair service supply and demand docking system and method |
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CN112686637A (en) * | 2021-01-04 | 2021-04-20 | 浪潮云信息技术股份公司 | Government affair service supply and demand docking system and method |
CN112542245A (en) * | 2021-01-21 | 2021-03-23 | 山东勤成健康科技股份有限公司 | Resident health management medical big data platform |
CN112542245B (en) * | 2021-01-21 | 2022-09-13 | 山东勤成健康科技股份有限公司 | Resident health management medical big data platform |
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