CN111291257B - Real estate self-service terminal control method, system, device and storage medium - Google Patents
Real estate self-service terminal control method, system, device and storage medium Download PDFInfo
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- G06Q50/16—Real estate
Abstract
The invention discloses a real estate self-service inquiry terminal control method, a real estate self-service inquiry terminal control system, a real estate self-service inquiry terminal control device and a real estate self-service inquiry terminal control storage medium, wherein the method comprises the following steps: acquiring self-service terminal user characteristic information and environmental characteristics; pushing a message to the self-service terminal by combining the user characteristic information, the environmental characteristic and the preset content characteristic set of the self-service terminal; sending an instruction to the remote self-service terminal through the cloud so that the remote self-service terminal returns self-service terminal information; tracking processing and remote maintenance processing are carried out according to the self-service terminal information; the messages are matched through multidimensional variables, the intelligent and personalized pushing of the messages is achieved, the using requirements of different user groups on the messages are met, the user experience degree is improved, the tracking processing and the remote maintenance processing are achieved on the remote self-service terminal through the cloud, the problem that the existing real estate self-service terminal is difficult to control and maintain is solved, disputes caused by the fact that the real estate is difficult to handle, obtain evidence and track in the past are avoided, the labor cost and the time cost are reduced, and meanwhile the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of mobile internet, in particular to a real estate self-service terminal control method, a real estate self-service terminal control system, a real estate self-service terminal control device and a real estate self-service terminal control storage medium.
Background
The real estate information self-service terminal effectively solves the problems of long queuing time, limited handling time, running back and forth in handling certificates and other relations of people living in the traditional window real estate information handling, meets the requirements of self-service, convenient and public services of the public, practically practices the commitment of convenient, convenient and beneficial to the people, and greatly improves the handling efficiency and service level of real estate departments.
The existing real estate information self-service terminal generally integrates a printer, an identity card identification function, a face identification function, a touch screen, a wireless network card and the like, people can print real estate information inquiry certificates by identity card swiping verification or face identification verification, and the life of people is greatly facilitated. However, with the increase of the input amount of the real estate self-service terminal and the use requirements of different people, the existing real estate self-service terminal not only has the difficult problems of difficult terminal maintenance and management and difficult printing and tracking, but also cannot provide intelligent and personalized information policy for people of different ages, professions, regions and other characteristics so as to meet the use requirements of different people.
Disclosure of Invention
In order to solve one of the technical problems, the invention aims to provide a real estate self-service terminal control method, a real estate self-service terminal control system, a real estate self-service terminal control device and a real estate self-service terminal control storage medium.
The first technical scheme adopted by the invention is as follows:
a real estate self-service terminal control method comprises the following steps:
acquiring self-service terminal user characteristic information and environmental characteristics;
pushing a message to the self-service terminal by combining the user characteristic information, the environmental characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
sending an instruction to the remote self-service terminal through the cloud so that the remote self-service terminal returns self-service terminal information;
and tracking and remote maintenance according to the self-service terminal information.
Further, the user characteristic information includes user behavior data and user basic information, the environment characteristic includes region data and time data, and the step of pushing the message to the self-service terminal by combining the self-service terminal user characteristic information, the environment characteristic and the preset content characteristic set specifically includes the following steps:
acquiring user behavior data according to a preset period;
and pushing a message matched with the basic information of the user to the self-service terminal according to a heat sorting function by combining the user behavior data, the region data, the time data and the preset content characteristic set, wherein the basic information of the user comprises at least one of age, occupation, gender and interest labels.
Further, the user behavior data includes reading rate, dwell time and printing times, and the step of pushing the message matching the basic information of the user to the terminal according to the hotness sorting function by combining the behavior data, the region data, the time data and the preset content feature set of the user specifically includes the following steps:
initializing initial heat values of all messages in a preset content feature set;
determining an interaction heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
updating the decay heat value of each message by using a preset time decay function;
acquiring an initial heat value, an interactive heat value and an attenuation heat value of each message, determining a comprehensive heat value of each message according to a heat sorting function, and sorting;
and clustering the age, occupation, gender and interest label dimensions of the user behavior data of each terminal by adopting a clustering algorithm, and pushing the sequenced messages to the clustered self-service terminal users.
Further, the method also comprises a preset content feature set training step, and specifically comprises the following steps:
collecting the whole network real estate information data and real estate policy data and storing the data in a standby content library;
performing machine learning on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
and acquiring a service file, and inputting the service file into a content feature library to establish a preset content feature set.
Further, the self-service terminal information includes a serial number of the terminal user, and the step of tracking processing according to the self-service terminal information specifically includes the following steps:
acquiring a tracking instruction and a serial number of a self-service terminal user;
and acquiring stored user query record information by combining the tracking instruction and the serial number of the self-service terminal user, wherein the query record information comprises at least one of self-service terminal equipment number, query time/place, printing information, identity card pictures and face information.
Further, the self-service terminal information further includes operation information, and the step of performing remote maintenance processing according to the self-service terminal information specifically includes the following steps:
acquiring operation information sent by a terminal;
and performing second processing according to the operation information sent by the terminal and the operation information of the terminal, wherein the second processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing.
Further, the operation information includes a status code, feedback data and a request text, and the monitoring, parameter configuration and upgrading are performed according to the operation information of the self-service terminal, which specifically includes the following steps:
acquiring a state code of the self-service terminal in a preset mode;
monitoring the running state of the terminal according to the obtained self-service terminal state code, and updating and displaying;
acquiring feedback data of the self-service terminal;
carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
acquiring a request text of a self-service terminal;
and according to the request text of the self-service terminal, upgrading the self-service terminal by combining the request text of the self-service terminal and a preset text set.
The second technical scheme adopted by the invention is as follows:
a real estate self-service terminal control system comprising:
the acquisition module is used for acquiring the user characteristic information and the environmental characteristic of the self-service terminal;
the pushing module is used for pushing a message to the self-service terminal by combining the user characteristic information, the environment characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
the instruction module is used for sending an instruction to the remote self-service terminal through the cloud so as to enable the remote self-service terminal to return self-service terminal information;
and the processing module is used for performing tracking processing and remote maintenance processing according to the self-service terminal information.
Further, the pushing module comprises:
the first acquisition unit is used for acquiring user behavior data according to a preset period;
and the matching unit is used for pushing a message of matching the basic information of the user to the self-service terminal according to the heat sorting function by combining the user behavior data, the region data, the time data and the preset content characteristic set, wherein the basic information of the user comprises at least one of age, occupation, gender and interest labels.
Further, the matching unit includes:
the initial heat subunit is used for initializing the initial heat value of each message in the preset content feature set;
the interactive heat subunit is used for determining an interactive heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
the decay heat degree subunit is used for updating the decay heat degree value of each message by utilizing a preset time decay function;
the ordering subunit is used for acquiring the initial heat value, the interaction heat value and the decay heat value of each message, determining the comprehensive heat value of each message according to a heat ordering function and ordering;
and the clustering subunit is used for clustering the age, occupation, gender and interest label dimension of the user behavior data of each terminal by adopting a clustering algorithm, and pushing the sequenced information to the clustered self-service terminal users.
Further, still include the exercise unit, the exercise unit includes:
the acquisition subunit is used for acquiring the real estate information data and the real estate policy data of the whole network and storing the real estate information data and the real estate policy data into the standby content library;
the determining subunit is used for performing machine learning on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
and the establishing subunit is used for acquiring the service file and inputting the service file into the content feature library to establish a preset content feature set.
Further, the processing module includes:
the second acquisition unit is used for acquiring the tracking instruction and the serial number of the self-service terminal user;
and the third acquisition unit is used for acquiring the stored user query record information by combining the tracking instruction and the serial number of the self-service terminal user, wherein the query record information comprises at least one of self-service terminal equipment number, query time/place, printing information, identity card pictures and face information.
The receiving unit is used for receiving the operation information sent by the self-service terminal;
and the processing unit is used for carrying out remote maintenance processing according to the operation information of the self-service terminal, and the remote maintenance processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing.
Further, the processing unit includes:
the first acquiring subunit is used for acquiring the state code of the self-service terminal in a preset mode;
the monitoring subunit is used for monitoring the running state of the terminal according to the obtained self-service terminal state code and updating and displaying the running state;
the second acquisition subunit is used for acquiring feedback data of the self-service terminal;
the configuration subunit is used for carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
the third acquisition subunit is used for acquiring a request text of the self-service terminal;
and the upgrading subunit is used for upgrading the self-service terminal according to the request text of the self-service terminal by combining the request text of the self-service terminal and a preset text set.
The third technical scheme adopted by the invention is as follows:
an automatic generation device of computer code, the memory is used for storing at least one program, and the processor is used for loading the at least one program to execute the method.
The fourth technical scheme adopted by the invention is as follows:
a storage medium having stored therein processor-executable instructions for performing the method as described above when executed by a processor.
The invention has the beneficial effects that: the messages are matched through three dimensional variables of a user, the environment and the content, intelligent sequencing and personalized pushing of the messages are achieved, different using requirements of different user groups on the messages are met, user experience is improved, tracking processing and remote maintenance processing are carried out on the remote self-service terminal based on cloud, the problem that control of an existing real estate self-service terminal is difficult to maintain is solved, disputes caused by difficulty in obtaining evidence and tracking of real estate in the past are avoided, labor cost and time cost are reduced, and meanwhile work efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of the steps of a real estate self-service terminal control method provided by the present invention;
FIG. 2 is a block diagram of a real estate self-service terminal control system architecture provided by the present invention.
Detailed Description
Example one
As shown in fig. 1, the embodiment provides a real estate self-service terminal control method, which includes the following steps:
s1, obtaining self-service terminal user characteristic information and environment characteristics;
s2, pushing a message to the self-service terminal by combining the user characteristic information, the environmental characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
s3, sending an instruction to the remote self-service terminal through the cloud end so that the remote self-service terminal returns self-service terminal information;
and S4, performing tracking processing and remote maintenance processing according to the self-service terminal information.
In this embodiment, the preset content feature set includes an authoritative latest real estate message formed by acquiring real estate information from each news website or policy information acquired by a government network, and a pre-stored Service file, where the pre-stored Service file refers to a usage guide class file of the self-Service terminal, and the cloud terminal preferably selects three modes of Software As A Service (SAAS), Platform As A Service (PAAS), and Infrastructure As A Service (IAAS), where a Software As A Service (SAAS) operator can use the cloud terminal to perform operation control, maintenance, and tracking on the real estate terminal through a browser of a mobile terminal or a PC terminal by simply connecting to a network, the Platform As A Service (PAAS) self-Service terminal runs a required Software application, and the operator can download the Software application from a cloud Platform provided by a manufacturer of the real estate terminal, an Infrastructure As A Service (IAAS) system can monitor the running state of a real-estate self-Service terminal in real time, the real-estate self-Service terminal sends a message to the system to alarm through a network when a fault occurs, the system timely informs operation and maintenance personnel to process the fault in a mail or short message or micro-message mode, specifically, user characteristic information and environmental characteristics are obtained through the network, a message is pushed to the terminal to be displayed from a preset content characteristic set based on the analysis and matching of the user characteristic information and the environmental characteristics, the message comprises at least one of real-estate information, real-estate policy and prestored Service files, so that a self-Service terminal user can timely know required messages, an instruction is sent to a remote self-Service terminal through a cloud end, the remote terminal returns self-Service terminal information comprising a serial number and running information of the terminal user, and further, printing, tracking, evidence obtaining and remote maintenance processing are carried out according to the self-Service terminal information, the real estate self-service terminal avoids unnecessary disputes caused by difficult evidence obtaining and tracking in the past, realizes the function of remote control maintenance processing of the real estate self-service terminal, reduces the labor cost and the time cost, and greatly improves the working efficiency.
Further, as a preferred embodiment, the step S2 specifically includes the following steps:
s21, acquiring user behavior data according to a preset period;
and S22, pushing a message matched with the basic information of the user to the self-service terminal according to the popularity ranking function by combining the user behavior data, the region data, the time data and the preset content feature set, wherein the basic information of the user comprises at least one of age, occupation, gender and interest labels.
In this embodiment, the preset period may be that user behavior data is obtained every month, or every quarter, or every year, or that user behavior data is obtained for a plurality of months, or a plurality of quarters, or a plurality of years, after the user behavior data in the preset period is obtained, the messages matching the basic information of the user are pushed according to the hotness sorting function by analyzing from the aspects of the user, the region, the time, and the content, wherein the basic information of the user includes the age, the occupation, the gender, and the interest tags specifically indicate the collection rate of the user for the messages, so as to further push the messages, which meet the use requirements of the user, including real estate information, a real estate policy, or a file of a preset terminal service guide.
Further, as a preferred embodiment, the step S22 specifically includes the following steps:
s221, initializing an initial heat value of each message in the preset content feature set;
s222, determining an interaction heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
s223, updating the decay heat value of each message by using a preset time decay function;
s224, acquiring an initial heat value, an interaction heat value and an attenuation heat value of each message, determining a comprehensive heat value of each message according to a heat sorting function, and sorting;
s225, clustering the age, occupation, gender and interest label dimension of the user behavior data of each terminal by adopting a clustering algorithm, and pushing the sequenced information to the clustered self-service terminal users.
In this embodiment, the initial heat value S can be set according to the occurrence time of each message0If the number of the messages is 100, determining an interaction heat value S according to the reading rate, the stay time and the printing times of the user to each message and the corresponding weight value1Tool for measuringThe body is S1＝X1×W(X1)+X2×W(X2)+X3×W(X3) Wherein X is1、X2、X3Respectively indicating the reading rate, the dwell time and the printing times of the user to the message, W (X)1)、W(X2)、W(X3) Each finger may correspond to a weight value of W (X)1) 20% of W (X)2) 30% of W (X)3) Is 50%, and is not described herein, as the case may be, the reading rate means that the reading time is 5 minutes per reading, the retention time is 8 minutes per minute, the printing time is 15 minutes per printing, and the reading rate is S1＝X1×W(X1)+X2×W(X2)+X3×W(X3) Determining the value of the heat of interaction of the message, said decay function preferably being f (T)1-T0) Wherein T is1For message release time, T0Determining the decay heat value S of the message from the time decay function for the current time3To S0 S1 S3Determining the comprehensive heat value S of the message according to the heat sorting function0+S2-S3(ii) a And (3) adopting clustering calculation such as a K value clustering method and the like to violently carry out the behaviors of each terminal user from four dimensions of age, occupation, gender and interest labels, and pushing the sequenced messages to the clustered self-service terminal users, thereby further realizing the personalized requirements of message pushing.
Further as a preferred embodiment, the method further includes a preset content feature set training step S5, and S5 specifically includes the following steps:
s51, collecting the real estate information data and real estate policy data of the whole network and storing the real estate policy data in a standby content library;
s52, machine learning is carried out on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
s53, obtaining the service file, and inputting the service file into the content feature library to establish a preset content feature set.
Further, as a preferred embodiment, the step S4 specifically includes the following steps:
s41, acquiring a tracking instruction and a self-service terminal user serial number;
and S42, acquiring the stored user query record information by combining the tracking instruction and the self-service terminal user serial number, wherein the query record information comprises at least one of self-service terminal equipment number, query time/place, printing information, identity card pictures and face information.
S43, receiving the running information sent by the self-service terminal;
and S44, performing remote maintenance processing according to the operation information of the self-service terminal, wherein the remote maintenance processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing.
Specifically, according to a tracking instruction and input self-service terminal user serial number, inquiry record information stored by a system during user printing operation, such as self-service terminal equipment numbers, inquiry time/places, printing information, identity card pictures and face information, wherein the equipment number is a unique ID code of each self-service terminal equipment, the printing information refers to whether a user has printing or not and the printing times, the face information specifically refers to a face image, and the detailed information of the user operation on a single self-service terminal at a fixed time and a fixed place can be accurately obtained by calling the inquiry record information corresponding to the user serial number so as to facilitate subsequent tracking and evidence obtaining; the remote monitoring processing, the parameter configuration processing and the upgrading processing of each self-service terminal device are realized by receiving the operation information sent by the self-service terminal in real time, so that a worker does not need to visit the site, the terminal maintenance processing efficiency is greatly improved, and the worker is facilitated.
Further, as a preferred embodiment, the step S44 specifically includes the following steps:
s441, acquiring a state code of the self-service terminal in a preset mode;
s442, monitoring the running state of the terminal according to the obtained self-service terminal state code, and updating and displaying;
s443, obtaining feedback data of the self-service terminal;
s444, carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
s445, acquiring a request text of the self-service terminal;
and S446, according to the request text of the self-service terminal, upgrading the self-service terminal by combining the request text of the self-service terminal and a preset text set.
In this embodiment, the acquiring the status code of the self-service terminal in the preset manner includes an active acquisition manner and a passive acquisition manner, where the active acquisition manner is that the system sends an instruction to the self-service terminal to acquire a real-time latest status code of the self-service terminal, the passive acquisition manner is that a timing device or a timing program is preset in the self-service terminal, the HTTP protocol system is used to send a self status code at regular time, the system monitors the running state of the self-service terminal with the received status code, and statistically updates the status code of each self-service terminal on a system display screen to display the running state corresponding to each self-service terminal; the feedback data of the self-service terminal comprises operation data of a user at the terminal, such as maximum query times, maximum printing waiting time, data access interface setting and IP address setting, the preset mode is used for carrying out parameter configuration on the self-service terminal, preferably establishing a Dblink data connection mode (Database Link), and according to the maximum query times, the maximum printing waiting time, the data access interface setting and the IP address setting, a system Oracle Database adopts an Oracle Database of Dblink connection terminals to modify the maximum query times, the maximum printing waiting time, the data access interface setting and the IP address setting of the terminals and displays the modified maximum query times, the maximum printing waiting time, the data access interface setting and the IP address setting on a display screen of the system, so that the parameter configuration of each auxiliary terminal is realized; and matching the acquired request text with the system preset text set, and if the request text sent by the self-service terminal is different from the text information of the system preset text set, transmitting the latest text to the self-service terminal so as to realize software upgrading of the self-service terminal.
Example two
As shown in fig. 2, the present embodiment provides a real estate self-service terminal control system, including:
the acquisition module is used for acquiring the user characteristic information and the environmental characteristic of the self-service terminal;
the pushing module is used for pushing a message to the self-service terminal by combining the user characteristic information, the environment characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
the instruction module is used for sending an instruction to the remote self-service terminal through the cloud so as to enable the remote self-service terminal to return self-service terminal information;
and the processing module is used for performing tracking processing and remote maintenance processing according to the self-service terminal information.
Further, the pushing module comprises:
the first acquisition unit is used for acquiring user behavior data according to a preset period;
and the matching unit is used for pushing a message of matching the basic information of the user to the self-service terminal according to the heat sorting function by combining the user behavior data, the region data, the time data and the preset content characteristic set, wherein the basic information of the user comprises at least one of age, occupation, gender and interest labels.
Further, the matching unit includes:
the initial heat subunit is used for initializing the initial heat value of each message in the preset content feature set;
the interactive heat subunit is used for determining an interactive heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
the decay heat degree subunit is used for updating the decay heat degree value of each message by utilizing a preset time decay function;
the ordering subunit is used for acquiring the initial heat value, the interaction heat value and the decay heat value of each message, determining the comprehensive heat value of each message according to a heat ordering function and ordering;
and the clustering subunit is used for clustering the age, occupation, gender and interest label dimension of the user behavior data of each terminal by adopting a clustering algorithm, and pushing the sequenced information to the clustered self-service terminal users.
Further, still include the training unit, the training unit includes:
the acquisition subunit is used for acquiring the real estate information data and the real estate policy data of the whole network and storing the real estate information data and the real estate policy data into the standby content library;
the determining subunit is used for performing machine learning on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
and the establishing subunit is used for acquiring the service file and inputting the service file into the content feature library to establish a preset content feature set.
Further, the processing module includes:
the second acquisition unit is used for acquiring the tracking instruction and the serial number of the self-service terminal user;
and the third acquisition unit is used for acquiring the stored user query record information by combining the tracking instruction and the serial number of the self-service terminal user, wherein the query record information comprises at least one of self-service terminal equipment number, query time/place, printing information, identity card pictures and face information.
The receiving unit is used for receiving the operation information sent by the self-service terminal;
and the processing unit is used for carrying out remote maintenance processing according to the operation information of the self-service terminal, and the remote maintenance processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing.
Further, the processing unit includes:
the first acquiring subunit is used for acquiring the state code of the self-service terminal in a preset mode;
the monitoring subunit is used for monitoring the running state of the terminal according to the obtained self-service terminal state code and updating and displaying the running state;
the second acquisition subunit is used for acquiring feedback data of the self-service terminal;
the configuration subunit is used for carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
the third acquisition subunit is used for acquiring a request text of the self-service terminal;
and the upgrading subunit is used for upgrading the self-service terminal according to the request text of the self-service terminal by combining the request text of the self-service terminal and a preset text set.
EXAMPLE III
An automatic computer code generation device comprises a memory and a processor, wherein the memory is used for storing at least one program, and the processor is used for loading the at least one program to execute the method of the embodiment A.
The automatic computer code generation device of the embodiment can execute the real estate self-service terminal control method provided by the embodiment of the method of the invention, can execute any combination implementation steps of the embodiment of the method, and has corresponding functions and beneficial effects of the method.
Example four
A storage medium having stored therein processor-executable instructions for performing a method as in embodiment one when executed by a processor.
The storage medium of this embodiment may execute the real estate self-service terminal control method provided in the first embodiment of the method of the present invention, may execute any combination of the implementation steps of the method embodiments, and has corresponding functions and beneficial effects of the method.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A real estate self-service terminal control method is characterized by comprising the following steps:
acquiring self-service terminal user characteristic information and environmental characteristics;
pushing a message to the self-service terminal by combining the user characteristic information, the environmental characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
sending an instruction to the self-service terminal through the cloud so that the self-service terminal returns self-service terminal information;
tracking processing and remote maintenance processing are carried out according to the self-service terminal information;
the self-service terminal information comprises a terminal serial number, and the step of tracking according to the self-service terminal information specifically comprises the following steps:
acquiring a tracking instruction and a serial number of a self-service terminal user;
acquiring stored user query record information by combining a tracking instruction and a self-service terminal user serial number, wherein the user query record information comprises at least one of self-service terminal equipment number, query time, query place, printing information, an identity card picture and face information;
the step of pushing a message to the self-service terminal by combining the user characteristic information, the environmental characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file specifically comprises the following steps: acquiring user behavior data according to a preset period;
the method comprises the steps that information matched with basic information of a user is pushed to a self-service terminal according to a heat sorting function by combining user behavior data, region data, time data and a preset content characteristic set, wherein the basic information of the user comprises at least one of age, occupation, gender and interest labels;
the user characteristic information comprises user behavior data and user basic information, and the environment characteristic comprises region data and time data;
the step of pushing the message matched with the basic user information to the self-service terminal according to the heat sorting function by combining the user behavior data, the region data and the preset content characteristic set specifically comprises the following steps:
initializing initial heat values of all messages in a preset content feature set;
determining an interaction heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
updating the decay heat value of each message by using a preset time decay function;
acquiring an initial heat value, an interactive heat value and an attenuation heat value of each message, determining a comprehensive heat value of each message according to a heat sorting function, and sorting;
clustering the age, occupation, gender and interest label dimension of the user behavior data of each auxiliary terminal by adopting a clustering algorithm, and pushing the sequenced information to the clustered self-service terminal users;
wherein the user behavior data comprises reading rate, dwell time and printing times;
the self-service terminal information further comprises operation information, and the step of performing remote maintenance processing according to the self-service terminal information specifically comprises the following steps:
receiving operation information sent by a self-service terminal;
performing remote maintenance processing according to the operation information of the self-service terminal, wherein the remote maintenance processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing;
the operation information comprises a state code, feedback data and a request text, the steps of monitoring processing, parameter configuration processing and upgrading processing are carried out according to the operation information of the self-service terminal, and the method specifically comprises the following steps:
acquiring a state code of the self-service terminal in a preset mode;
monitoring the running state of the terminal according to the obtained self-service terminal state code, and updating and displaying;
acquiring feedback data of the self-service terminal;
carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
acquiring a request text of a self-service terminal;
according to the request text of the self-service terminal, upgrading the self-service terminal by combining the request text of the self-service terminal and a preset text set;
the method also comprises a preset content characteristic set training step, and specifically comprises the following steps:
collecting the whole network real estate information data and real estate policy data and storing the data in a standby content library;
performing machine learning on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
acquiring a service file, and inputting the service file into a content feature library to establish a preset content feature set;
the interactive calorific value is calculated as follows:
S1＝X1×W(X1)+X2×W(X2)+X3×W(X3)
wherein, X1, X2, X3 respectively indicate the reading rate, the dwell time and the printing times of the user to the message, and W (X1), W (X2) and W (X3) respectively indicate the weight values corresponding to the reading rate, the dwell time and the printing times;
the time decay function is f (T)1-T0) Wherein T is1For message release time, T0Is the current time.
2. A real estate self-service terminal control system, comprising:
the acquisition module is used for acquiring the user characteristic information and the environmental characteristic of the self-service terminal;
the pushing module is used for pushing a message to the self-service terminal by combining the user characteristic information, the environment characteristic and the preset content characteristic set of the self-service terminal, wherein the message comprises at least one of real estate information, a real estate policy and a pre-stored service file;
the instruction module is used for sending an instruction to the self-service terminal through the cloud so as to enable the self-service terminal to return self-service terminal information;
the processing module is used for performing tracking processing and remote maintenance processing according to the self-service terminal information;
the processing module comprises:
the second acquisition unit is used for acquiring the tracking instruction and the serial number of the self-service terminal user;
the third acquisition unit is used for acquiring stored user inquiry record information by combining the tracking instruction and the serial number of the self-service terminal user, wherein the inquiry record information comprises at least one of self-service terminal equipment number, inquiry time/place, printing information, identity card pictures and face information;
the push module comprises:
the first acquisition unit is used for acquiring user behavior data according to a preset period;
the matching unit is used for pushing a message for matching basic user information to the self-service terminal according to the heat sorting function by combining the user behavior data, the region data, the time data and the preset content feature set, wherein the basic user information comprises at least one of age, occupation, gender and interest labels;
the matching unit includes:
the initial heat subunit is used for initializing the initial heat value of each message in the preset content feature set;
the interactive heat subunit is used for determining an interactive heat value for each message according to the reading rate, the stay time, the printing times and the corresponding weight of the user;
the decay heat degree subunit is used for updating the decay heat degree value of each message by utilizing a preset time decay function;
the ordering subunit is used for acquiring the initial heat value, the interaction heat value and the decay heat value of each message, determining the comprehensive heat value of each message according to a heat ordering function and ordering;
the clustering subunit is used for clustering the age, occupation, gender and interest label dimension of the user behavior data of each terminal by adopting a clustering algorithm, and pushing the sequenced information to the clustered self-service terminal users;
wherein the user behavior data comprises reading rate, dwell time and printing times;
the self-service terminal information also comprises operation information, the step of remote maintenance processing is carried out according to the self-service terminal information,
the method specifically comprises the following steps:
receiving operation information sent by a self-service terminal;
performing remote maintenance processing according to the operation information of the self-service terminal, wherein the remote maintenance processing comprises at least one of monitoring processing, parameter configuration processing and upgrading processing;
the operation information comprises a state code, feedback data and a request text, the steps of monitoring processing, parameter configuration processing and upgrading processing are carried out according to the operation information of the self-service terminal, and the method specifically comprises the following steps:
acquiring a state code of the self-service terminal in a preset mode;
monitoring the running state of the terminal according to the obtained self-service terminal state code, and updating and displaying;
acquiring feedback data of the self-service terminal;
carrying out parameter configuration and statistical display on the self-service terminal according to the obtained self-service terminal feedback data in a preset mode;
acquiring a request text of a self-service terminal;
according to the request text of the self-service terminal, upgrading the self-service terminal by combining the request text of the self-service terminal and a preset text set;
the method also comprises a preset content characteristic set training step, and specifically comprises the following steps:
collecting the whole network real estate information data and real estate policy data and storing the data in a standby content library;
performing machine learning on the standby content set by combining the self-service terminal user characteristics and the neural network to determine a content characteristic library;
acquiring a service file, and inputting the service file into a content feature library to establish a preset content feature set;
the interactive calorific value is calculated as follows:
S1＝X1×W(X1)+X2×W(X2)+X3×W(X3)
wherein, X1, X2, X3 respectively indicate the reading rate, the dwell time and the printing times of the user to the message, and W (X1), W (X2) and W (X3) respectively indicate the weight values corresponding to the reading rate, the dwell time and the printing times;
the time decay function is f (T)1-T0) Wherein T is1For message release time, T0Is the current time.
3. An apparatus for automatic generation of computer code, comprising a memory for storing at least one program and a processor for loading the at least one program to perform the method of claim 1.
4. A storage medium having stored therein processor-executable instructions, which when executed by a processor, are configured to perform the method of claim 1.
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