CN109246184A - A kind of temporal information acquisition methods, device and readable storage medium storing program for executing - Google Patents
A kind of temporal information acquisition methods, device and readable storage medium storing program for executing Download PDFInfo
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- CN109246184A CN109246184A CN201810856874.5A CN201810856874A CN109246184A CN 109246184 A CN109246184 A CN 109246184A CN 201810856874 A CN201810856874 A CN 201810856874A CN 109246184 A CN109246184 A CN 109246184A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 230000002123 temporal effect Effects 0.000 title abstract 2
- 238000012216 screening Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 230000000284 resting effect Effects 0.000 abstract description 2
- 235000021167 banquet Nutrition 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 10
- 239000003795 chemical substances by application Substances 0.000 description 9
- 238000012545 processing Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 2
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- 230000003993 interaction Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application provides a kind of temporal information acquisition methods, device and readable storage medium storing program for executing, this method comprises: being screened according to specified services type to user, to determine candidate user；Obtain the Internet Use data of the candidate user；According to the Internet Use data, the active time section of the candidate user is determined；According to the active time section, determine the subscription time of the candidate user, since candidate user is in off working state in active time section, and for being not at resting state, therefore the subscription time of the candidate user determined according to active time section is the time that candidate user can receive incoming call, to be conducive to improve the accuracy for the subscription time determined, and when attending a banquet according to subscription time connection candidate user, it will not bring inconvenience to candidate user, be conducive to the experience for improving user.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for acquiring time information, and a readable storage medium.
Background
At present, service providers can actively contact users by agents to recommend services. In the prior art, when the appointment time arrives, the background pushes the corresponding user to a computer used by an agent, so that the agent can contact the user to recommend services. However, generally, the background randomly allocates the appointment time to the user, or simply allocates the appointment time to the user according to night and day, but the living habits of each user are different, so that the accuracy of the appointment time is poor, and the user experience is poor when the seat personnel contact the user.
Disclosure of Invention
In view of the above, the present application provides a time information obtaining method, a time information obtaining device and a readable storage medium, so as to improve the accuracy of the reserved time.
Specifically, the method is realized through the following technical scheme:
in a first aspect, the present application provides a method for acquiring time information, where the method includes:
screening users according to the specified service types to determine candidate users;
acquiring network use condition data of the candidate user;
determining an active time period of the candidate user according to the network usage data;
and determining the reservation time of the candidate user according to the active time period.
Optionally, the network usage data comprises at least one of:
conversation recording, telephone recording and internet surfing recording of the instant messaging software.
Optionally, the determining an active time period of the candidate user according to the network usage data includes:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
Optionally, the determining the reservation time of the candidate user according to the active time period includes:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
In a second aspect, the present application provides a time information acquisition apparatus, the apparatus including:
the user acquisition module is used for determining candidate users needing to be recommended;
the data acquisition module is used for acquiring network use condition data of the candidate users;
a determining module, configured to determine an active time period of the candidate user according to the network usage data;
and the time acquisition module is used for determining the reservation time of the candidate user according to the active time period.
Optionally, the network usage data comprises at least one of:
conversation recording, telephone recording and internet surfing recording of the instant messaging software.
Optionally, when the determining module is configured to determine the active time period of the candidate user according to the network usage data, the determining module is specifically configured to:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
Optionally, when the time obtaining module is configured to determine the reservation time of the candidate user according to the active time period, the time obtaining module is specifically configured to:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
In a third aspect, the present application provides a time information obtaining apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
screening users according to the specified service types to determine candidate users;
acquiring network use condition data of the candidate user;
determining an active time period of the candidate user according to the network usage data;
and determining the reservation time of the candidate user according to the active time period.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program for executing the method of the first aspect.
Any one of the above technical solutions has the following beneficial effects:
in the embodiment of the application, the users are screened according to the specified service types, the candidate users needing to be recommended are determined to be reserved users, then the active time periods of the candidate users are determined according to the network use condition data of the users, the preset time of the candidate users is determined according to the active time periods, and the candidate users are in a non-working state in the active time periods and are not in a rest state, so that the reserved time of the candidate users determined according to the active time periods is the time for the candidate users to receive incoming calls, the time reservation accuracy is improved, inconvenience is not caused to the candidate users when a seat contacts the candidate users according to the reserved time, and the experience of the users is improved.
Drawings
Fig. 1 is a schematic flowchart of a time information obtaining method provided in the present application;
fig. 2 is a schematic structural diagram of a time information obtaining apparatus provided in the present application;
fig. 3 is a schematic structural diagram of another time information acquisition apparatus provided in the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Fig. 1 is a schematic flowchart of a time information obtaining method provided in the present application, and as shown in fig. 1, the method includes the following steps:
101. and screening the users according to the specified service types to determine candidate users.
Specifically, the candidate user is a user who needs to recommend the service, for example, a user whose service is about to expire may be determined as the candidate user, or when some preferential services occur, the service is only opened to some users, that is, the specified service type may be a service which is about to expire by the user and a service which is only opened to a specific user (e.g., an old user or a VIP user), and the like, at this time, the certain user may be determined as the candidate user, the determination mode of the candidate user may be set according to actual needs, and is not specifically limited herein, and the specific specified service type may be set according to actual needs, and is not specifically limited herein.
In a possible embodiment, the background server may periodically screen out users whose services are about to expire as candidate users to be recommended, that is, subscribed users. For example, the screening may be performed at a specified time of day. For another example, the user 4 days before the service expiration (i.e., T-4) may be obtained according to the service expiration time T of the user.
102. And acquiring the network use condition data of the candidate user.
Specifically, the network usage data may reflect a time period in which the user is in a non-working state, or a time period in which the user is not in a resting state, or a time period in which the user is in an entertainment state, and therefore, the network usage data of the candidate user needs to be acquired so as to determine an active time period of the candidate user.
103. And determining the active time period of the candidate user according to the network use condition data.
Specifically, with the rapid development of intelligent devices and networks, the daily life and work of users are related to the network, and the users are in working state and non-working state, the applications used by the users are different, or the content sent by the instant messaging software is different between the working state and the non-working state, for example, when the users are in working state, the users may only use the network to search for materials, or use the instant messaging software to send out content related to the work, when the users are in non-working state, the users may use the network to search for content completely unrelated to the work, or use the instant messaging software to send out content unrelated to the work, or for example, when the users are in working state, the users may only use the applications related to the work, and when the users are in non-working state, the user may only use an application that is not related to the work at all, and therefore network usage data of the candidate user needs to be acquired to determine the active time period of the candidate user according to the network usage data of the user.
104. And determining the reservation time of the candidate user according to the active time period.
Specifically, the candidate user is in a non-working state and is not in a rest state in the active time period, so that the reservation time of the candidate user determined according to the active time period is the time for the candidate user to receive the incoming call, the accuracy of the reservation time is improved, and when the candidate user is contacted by the seat according to the reservation time, inconvenience is not caused to the candidate user, and the experience of the user is improved.
In one possible embodiment, the network usage data includes at least one of: conversation recording, telephone recording and internet surfing recording of the instant messaging software.
For example, the session record of the communication software may be a WeChat session record, where in the WeChat session record, the telephone record, and the Internet record, each record includes corresponding time information, so that the active time period of the user may be determined according to the records. It should be noted that the network usage data of the candidate user may be obtained from a third party or a local database, in addition to the above records, and the obtaining manner of the network usage data of the candidate user is not specifically limited herein.
In one possible embodiment, when step 103 is implemented, it can be implemented by the following two schemes:
the first scheme is as follows: counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; and determining a preset time period with the largest number of the time information as the active time period of the candidate user.
For example, 24 hours of each day are divided into 24 time periods by 1 hour, and according to the time information contained in the record in the network usage data of the user, if a certain time period is contained in the network usage data, the count of the time period is increased by 1, and so on, so that the total count value of each time period can be obtained. And finally, sorting the total counting values in a descending order, and taking the time period corresponding to the maximum total counting value as the active time period of the user.
Scheme II: determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
For example, the usage record of some application programs by the user is used to subdivide the time period of the usage of the mobile phone by the user, for example: the time period used by the mobile phone is divided into a time period with strong disturbance conflict and a time period with weak disturbance conflict, wherein the time period with strong disturbance conflict can be a time period (possibly in a meeting and the like) in which a user uses less entertainment software in a workday and a time period (the user is dissatisfied because the game is interrupted) in which the user frequently plays games and the like, and the time period with weak disturbance conflict is a time period (chatting, watching videos and the like) in which the user carries out general entertainment and leisure, so that the active time period of the user can be determined through the division method.
In one possible embodiment, when determining the reservation time of the candidate user according to the acquisition time period, the reservation time of the candidate user may be determined according to the active time period, the legal working day and the agent scheduling information.
For example, the active time period of a candidate user in a certain day in a legal working day can be used as the reserved time.
In a feasible implementation scheme, after the appointment time of the candidate user is determined, the seat personnel, the candidate user and the corresponding appointment time are stored, and when the appointment time arrives, the candidate user is pushed to a telephone platform used by the distributed seat personnel, so that the seat personnel can contact with the candidate user according to the pushed information to recommend services.
Fig. 2 is a schematic structural diagram of a time information obtaining apparatus provided in the present application, and as shown in fig. 2, the apparatus includes:
the user obtaining module 21 is configured to determine a candidate user to be recommended;
a data obtaining module 22, configured to obtain network usage data of candidate users;
a determining module 23, configured to determine an active time period of the candidate user according to the network usage data;
and a time obtaining module 24, configured to determine the reservation time of the candidate user according to the active time period.
In one possible embodiment, the network usage data includes at least one of:
conversation recording, telephone recording and internet surfing recording of the instant messaging software.
In a possible embodiment, when the determining module 23 is configured to determine the active time period of the candidate user according to the network usage data, specifically, to:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
In a possible embodiment, the time obtaining module 24 is configured to determine the reservation time of the candidate user according to the active time period, and includes:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In the embodiment of the application, the users are screened according to the specified service types, the candidate users needing to be recommended are determined to be reserved users, then the active time periods of the candidate users are determined according to the network use condition data of the users, the preset time of the candidate users is determined according to the active time periods, and the candidate users are in a non-working state in the active time periods and are not in a rest state, so that the reserved time of the candidate users determined according to the active time periods is the time for the candidate users to receive incoming calls, the accuracy of the reserved time is improved, inconvenience is not caused to the candidate users when a seat contacts the candidate users according to the reserved time, and the experience of the users is improved.
Fig. 3 is a schematic structural diagram of another time information acquiring apparatus provided in the present application, for example, the apparatus 2000 may be a mobile phone, a tablet device, a personal digital assistant, or the like.
As shown in fig. 3, referring to fig. 3, the apparatus 2000 may include one or more of the following components: a processing component 2002, a memory 2004, a power component 2006, a multimedia component 2008, an audio component 2010, an input/output (I/O) interface 2012, a sensor component 2014, and a communication component 2016.
The processing component 2002 generally controls the overall operation of the device 2000, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 2002 may include one or more processors 2020 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 2002 can include one or more modules that facilitate interaction between the processing component 2002 and other components. For example, the processing component 2002 can include a multimedia module to facilitate interaction between the multimedia component 2008 and the processing component 2002.
The memory 2004 is configured to store various types of data to support operation at the device 2000. Examples of such data include instructions for any application or method operating on device 2000, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 2004 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power component 2006 provides power to the various components of the device 2000. The power components 2006 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 2000.
The multimedia component 2008 includes a screen providing an output interface between the device 2000 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 2008 includes a front camera and/or a rear camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 2000 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
Audio component 2010 is configured to output and/or input audio signals. For example, audio component 2010 includes a Microphone (MIC) configured to receive external audio signals when apparatus 2000 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 2004 or transmitted via the communication component 2016. In some embodiments, audio assembly 2010 also includes a speaker for outputting audio signals.
The I/O interface 2012 provides an interface between the processing component 2002 and peripheral interface modules, which can be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 2014 includes one or more sensors for providing various aspects of state assessment for the device 2000. For example, sensor assembly 2014 may detect an open/closed state of device 2000, a relative positioning of components, such as a display and keypad of apparatus 2000, a change in position of apparatus 2000 or a component of apparatus 2000, the presence or absence of user contact with apparatus 2000, an orientation or acceleration/deceleration of apparatus 2000, and a change in temperature of apparatus 2000. The sensor assembly 2014 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 2014 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 2014 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 2016 is configured to facilitate wired or wireless communication between the apparatus 2000 and other devices. The device 2000 may access a wireless network based on a communication standard, such as Wi-Fi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication section 2016 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 2016 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 2000 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the methods shown in fig. 1.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 2004 comprising instructions, executable by the processor 2020 of the apparatus 2000 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like. Wherein the processor 2020 is configured to: screening users according to the specified service types to determine candidate users; acquiring network use condition data of the candidate user; determining an active time period of the candidate user according to the network usage data; and determining the reservation time of the candidate user according to the active time period.
In one possible embodiment, the network usage data includes at least one of: conversation recording, telephone recording and internet surfing recording of the instant messaging software.
In one possible embodiment, when the processor 2020 is configured to determine the candidate user's active time period based on the network usage data, the processor 2020 may be implemented by:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
In one possible embodiment, when the processor 2020 is configured to determine the reservation time of the candidate user based on the active time period, the processor 2020 may be implemented by:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
The specific manner in which the processor 2020 performs the operations in the above embodiments has been described in detail in relation to the embodiments of the method, and will not be described in detail here.
The above-mentioned computer-readable storage medium stores a computer program for executing: determining candidate users needing to be recommended; determining an active time period for the candidate user; and determining the reservation time of the candidate user according to the active time period.
In one possible embodiment, the network usage data includes at least one of: conversation recording, telephone recording and internet surfing recording of the instant messaging software.
In a possible embodiment, when the computer program is configured to perform the determining the active time period of the candidate user according to the network usage data, it may be implemented by:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
In a possible embodiment, when the computer program is configured to determine the reservation time of the candidate user according to the active time period, the method may be implemented by:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
The detailed description of the computer program executing operations in the above embodiments has been provided in detail in relation to the embodiments of the method, and will not be set forth herein in detail.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for acquiring time information, the method comprising:
screening users according to the specified service types to determine candidate users;
acquiring network use condition data of the candidate user;
determining an active time period of the candidate user according to the network usage data;
and determining the reservation time of the candidate user according to the active time period.
2. The method of claim 1, wherein the network usage data comprises at least one of:
conversation recording, telephone recording and internet surfing recording of the instant messaging software.
3. The method of claim 1, wherein said determining an active time period for the candidate user based on the network usage data comprises:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
4. The method of any one of claims 1 to 3, wherein determining the reservation time of the candidate user according to the active time period comprises:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
5. A time information acquisition apparatus, characterized in that the apparatus comprises:
the user acquisition module is used for determining candidate users needing to be recommended;
the data acquisition module is used for acquiring network use condition data of the candidate users;
a determining module, configured to determine an active time period of the candidate user according to the network usage data;
and the time acquisition module is used for determining the reservation time of the candidate user according to the active time period.
6. The apparatus of claim 5, wherein the network usage data comprises at least one of:
conversation recording, telephone recording and internet surfing recording of the instant messaging software.
7. The apparatus according to claim 5, wherein, when the determining module is configured to determine the active time period of the candidate user according to the network usage data, it is specifically configured to:
counting time information in the network use condition data; counting the number of the time information included in a plurality of preset time periods according to the time information; determining a preset time period with the largest number of the time information as an active time period of the candidate user; or,
determining a time period for which the application program of the specified type is used according to the network use condition data; determining a time period during which the specified type of application is used as an active time period for the candidate user.
8. The apparatus according to any one of claims 5 to 7, wherein when the time obtaining module is configured to determine the reservation time of the candidate user according to the active time period, the time obtaining module is specifically configured to:
and determining the reservation time of the candidate user according to the active time period, the legal working day and the agent scheduling information.
9. A time information acquisition apparatus, characterized in that the apparatus comprises:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
screening users according to the specified service types to determine candidate users;
acquiring network use condition data of the candidate user;
determining an active time period of the candidate user according to the network usage data;
and determining the reservation time of the candidate user according to the active time period.
10. A computer-readable storage medium, characterized in that the storage medium stores a computer program for performing the method of any of the preceding claims 1 to 4.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810856874.5A CN109246184B (en) | 2018-07-31 | 2018-07-31 | Time information acquisition method and device and readable storage medium |
| PCT/CN2018/111494 WO2020024454A1 (en) | 2018-07-31 | 2018-10-23 | Time information acquisition method and apparatus, and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810856874.5A CN109246184B (en) | 2018-07-31 | 2018-07-31 | Time information acquisition method and device and readable storage medium |
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| Publication Number | Publication Date |
|---|---|
| CN109246184A true CN109246184A (en) | 2019-01-18 |
| CN109246184B CN109246184B (en) | 2022-07-08 |
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| CN201810856874.5A Active CN109246184B (en) | 2018-07-31 | 2018-07-31 | Time information acquisition method and device and readable storage medium |
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| CN113240371B (en) * | 2021-05-17 | 2024-07-16 | 北京京东振世信息技术有限公司 | Aging determining method, device, equipment and storage medium |
| CN115706610A (en) * | 2021-08-06 | 2023-02-17 | 北京小米移动软件有限公司 | Time updating method and device, storage medium and electronic equipment |
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| Publication number | Publication date |
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| CN109246184B (en) | 2022-07-08 |
| WO2020024454A1 (en) | 2020-02-06 |
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