WO2016150111A1 - 一种基于来电提醒的数据处理方法、装置及系统 - Google Patents

一种基于来电提醒的数据处理方法、装置及系统 Download PDF

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WO2016150111A1
WO2016150111A1 PCT/CN2015/089358 CN2015089358W WO2016150111A1 WO 2016150111 A1 WO2016150111 A1 WO 2016150111A1 CN 2015089358 W CN2015089358 W CN 2015089358W WO 2016150111 A1 WO2016150111 A1 WO 2016150111A1
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log
log data
module
user
communication
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PCT/CN2015/089358
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English (en)
French (fr)
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钱春晓
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中兴通讯股份有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/16Communication-related supplementary services, e.g. call-transfer or call-hold

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  • This document relates to, but is not limited to, the field of communications, and more particularly to a method, apparatus, system and computer readable storage medium for data processing based on incoming call reminders.
  • the call reminder service is a huge amount of users in the telecommunications industry, and its user behavior has high value.
  • the incoming call reminding system includes: a voice control module 10, a short message integration module 12, a voice control log module 14, and a short message integrated log module 16.
  • the voice control module 10 generates a voice control log
  • the short message integration module 12 generates a short message notification log.
  • the call alert system provides the ability to support the use of services by 10 million users, and the logs generated by the system are massive.
  • the logs generated are very numerous.
  • the various communication service systems generally consist of multiple sub-modules, and the generated logs are scattered, and the amount of log data is large and difficult to process.
  • An embodiment of the present invention provides a data processing method based on an incoming call alert, including: analyzing log data based on different dimensions, and setting an index; wherein the log data is a communication interaction information record of a user, and the index is used for Associate different data with corresponding log data; preset different statistical requirements; use the index to periodically collect log data that meets preset statistical requirements, and save the log data for user query;
  • the statistical result is saved for the user to query.
  • the method before analyzing the log data based on different dimensions, the method further includes: acquiring communication interaction information in the terminal communication module, recording the data as log data; and/or receiving communication interaction information sent by the terminal communication module, The communication interaction information is recorded as log data.
  • the method further includes: receiving a statistical requirement of the user, and using the index, collecting log data that meets the statistical requirement.
  • the dimension includes at least one of the following: a calling number, a called number, a communication time, a communication duration, and a communication content keyword.
  • the embodiment of the present invention further provides a data processing device based on an incoming call alert, wherein the device includes: a log indexing module, configured to analyze log data based on different dimensions, and set an index; wherein the log data is a user The communication interaction information record is formed, the index is set to associate different dimensions with corresponding log data; the log application module is set to preset different statistical requirements; and the index is used to periodically collect statistics that meet preset statistical requirements. Log data and save the log data for user query.
  • a log indexing module configured to analyze log data based on different dimensions, and set an index
  • the log data is a user
  • the communication interaction information record is formed, the index is set to associate different dimensions with corresponding log data; the log application module is set to preset different statistical requirements; and the index is used to periodically collect statistics that meet preset statistical requirements.
  • Log data and save the log data for user query wherein the device includes: a log indexing module, configured to analyze log data based on different dimensions, and set an index; wherein the log data is
  • the log application module is configured to periodically collect the log data that meets the preset statistical requirements, the statistical result of the log data is saved for the user to query.
  • the log indexing module includes: an active indexing unit configured to acquire communication interaction information in the terminal communication module, and record the data as log data; and/or a passive indexing unit configured to receive the communication sent by the terminal communication module.
  • the interaction information records the communication interaction information as log data.
  • the log application module is further configured to receive a statistical requirement of the user, and use the index to collect log data that meets the statistical requirement.
  • the dimension includes at least one of the following: a calling number, a called number, a communication time, a communication duration, and a communication content keyword.
  • the embodiment of the present invention further provides a data processing system based on an incoming call alert, wherein the system includes: a terminal communication module, configured to record the communication interaction information of the user as log data and store it for analysis by the log indexing module;
  • the log indexing module is configured to analyze the log data based on different dimensions and set an index; wherein the index is used to associate different dimensions with corresponding log data; and the log application module is set to preset different statistical requirements. Using the index, periodically collecting log data that meets preset statistical requirements, and saving the log data for user query;
  • the log application module is further configured to periodically collect the log data that meets the preset statistical requirements, and save the statistical result of the log data for the user to query.
  • the communication interaction information includes: voice call communication information and short message notification information;
  • the terminal communication module includes: a voice control module, configured to receive voice call communication information that is not successfully received by the user, and record the Log data; a voice control log module, configured to store log data generated by the voice control module; and a short message integration module configured to send a short message notification message to the user when the user does not successfully receive the voice call communication information, and The short message notification information is recorded as log data; the short message integrated log module is configured to store log data generated by the short message integration module.
  • Embodiments of the present invention provide a computer readable storage medium storing program instructions when the process When the sequence instruction is executed by the processor, a data processing method based on the incoming call reminder provided by the embodiment of the present invention is implemented.
  • the number of customers in communication services (such as call alert service) is very large. Many countries are tens of millions of users.
  • the analysis and application of system logs can analyze the behavior of statistical users and better serve users.
  • the technical solution of the present invention solves the problem that the communication service system generates a large amount of scattered log data in the related art, which is difficult to handle, and can utilize various information to a large extent, thereby improving user satisfaction and market competitiveness.
  • FIG. 1 is a schematic structural diagram of a call alert system of the related art
  • FIG. 2 is a structural block diagram of a data processing apparatus based on an incoming call alert according to Embodiment 1 of the present invention
  • FIG. 3 is a structural block diagram of a data processing system based on an incoming call alert in Embodiment 2 of the present invention
  • FIG. 4 is a schematic structural diagram of an incoming call reminding system in Embodiment 2 of the present invention.
  • FIG. 5 is a flowchart of collecting the distribution of short messages of a user within N years according to the second embodiment of the present invention.
  • FIG. 6 is a flow chart of counting the situation in which a user receives a short message contact within N years according to the second embodiment of the present invention.
  • FIG. 7 is a flowchart of a data processing method based on an incoming call alert according to Embodiment 3 of the present invention.
  • the existing communication service system generally consists of a plurality of sub-modules, and the generated logs are relatively scattered, and the log data volume is large.
  • the lack of a log analysis application module in the communication service system analyzes the individual user logs and provides application scenarios based on the service characteristics.
  • the embodiment of the invention provides a data processing scheme based on a communication service (for example, an incoming call reminding service), analyzes and processes the massive log data generated in the communication service system, and combines some application scenarios that the user may use to set some dimensions. Combined with algorithm analysis, some system application data is obtained and provided to users.
  • a communication service for example, an incoming call reminding service
  • analyzes and processes the massive log data generated in the communication service system and combines some application scenarios that the user may use to set some dimensions.
  • algorithm analysis some system application data is obtained and provided to users.
  • the embodiment provides a data processing device based on an incoming call alert, and the device can be disposed on the device side.
  • the structural block diagram is shown in FIG. 2, and the device includes: a log indexing module 20 and a log application module 22. The structure is described in detail below.
  • the log indexing module 20 is configured to analyze the log data based on different dimensions and set an index; wherein the communication interaction information of the user is recorded as log data, and the index is used to associate different dimensions with corresponding log data;
  • the above dimension may be set as the calling number, the called number, the communication time, the communication duration, the communication content keyword, etc. by default, and may also be set to other content according to the user's needs.
  • the log application module 22 is configured to preset different statistical requirements; use the index to periodically collect log data that meets preset statistical requirements, and save the log data for the user to query;
  • the log application module 22 is further configured to periodically collect statistics of the log data that meets the preset statistical requirements, and save the statistical result of the log data for the user to query.
  • the preset statistical requirement is set in combination with an application scenario that the user may use. For example: the distribution of short messages in the user in the last year, or the distribution of telephone communication objects in the user in the last two years; or the distribution of time periods in which the call occurs within a given period of time.
  • the data processing device introduced in the embodiment solves the problem that the communication service system generates a large amount of scattered log data, which is difficult to process, can utilize various information to a large extent, and collects log data of user requirements, thereby improving user satisfaction and Market Competitiveness.
  • the log indexing module 20 includes: an active indexing unit, configured to acquire log data generated by the communication interaction information in the terminal communication module; And/or, the passive index unit is configured to receive the communication interaction information sent by the terminal communication module, and record the communication interaction information as log data.
  • the data processing device can support either or both modes. Based on the foregoing optional embodiment, the log data generated by the terminal communication module can be obtained in time and accurately, which facilitates analysis and statistics of subsequent log data.
  • the log application module 22 uses the index to collect log data that meets the statistical requirements for the user's statistical requirements. Thereby effectively improving user satisfaction and thereby increasing market competitiveness.
  • the embodiment provides a structural block diagram of the data processing system based on the incoming call reminder. As shown in FIG. 3, the system includes: a terminal communication module 30, a log indexing module 20, and a log application module 22. The structure is described in detail below.
  • the terminal communication module 30 is configured to record the communication interaction information of the user as log data for analysis by the log indexing module;
  • the log indexing module 20 is configured to analyze the log data based on different dimensions and set an index; wherein the index is used to associate different dimensions with corresponding log data;
  • the log application module 22 is configured to preset different statistical requirements; using the index, the periodic statistics are full. The log data of the preset statistical requirements, and save the log data for the user to query;
  • the log application module 22 is further configured to periodically collect statistics of the log data that meets the preset statistical requirements, and save the statistical result of the log data for the user to query.
  • the data processing system based on the incoming call reminder introduced in this embodiment solves the problem that the incoming call reminding service system generates a large amount of scattered log data, which is difficult to handle, and can utilize various information to a large extent, and collect log data of user requirements. Improve user satisfaction and market competitiveness.
  • the foregoing communication interaction information may include: voice call information and short message notification information.
  • the terminal communication module includes: a voice control module, configured to receive voice call information that the user has not successfully received, and record the voice call information as log data; the voice control log module is configured to store log data generated by the voice control module; the short message integration module And being configured to send the short message notification information to the user when the user does not successfully receive the voice call information, and record the short message notification information as the log data; the short message integration log module is configured to store the log data generated by the short message integration module.
  • the voice control module and the short message integration module in the optional embodiment record the communication service information as log data, which facilitates subsequent log data analysis and statistical operations.
  • FIG. 4 is a schematic structural diagram of an improved call alerting system. As shown in FIG. 4, the system includes: a voice control module 10, a short message integration module 12, a voice control log module 14, a short message integration log module 16, and a log index. Module 20 and log application module 22. As can be seen from the comparison between FIG. 1 and FIG. 4, the log index module 20 and the log application module 22 are added to the improved call alert system. The functions of each module are described below.
  • the voice control module 10 is connected to the voice control log module 14 and configured to receive information about the system through the core network of the telecommunication network when the user does not answer/shut down, and triggers processing of the short message by the called user. Record the operation information related to the user's voice call.
  • the SMS integration module 12 is connected to the voice control module 10 and the SMS integration log module 16. Assume The information is sent to the called user to send a notification message, and the user SMS related information is recorded.
  • the voice control log module 14 is connected to the voice control module 10 and the log indexing module 20. It is set to store the log file generated by the voice control module 10, and at the same time, according to the system configuration, whether to push the log information to the log indexing module 20 is selected.
  • the SMS integration log module 16 is connected to the SMS integration module 12 and the log index module 20. It is set to store the log file generated by the short message integration module 12, and at the same time, according to the system configuration, whether to push the log information to the log indexing module 20 is selected.
  • the log indexing module 20 is connected to the voice control log module 14, the short message integration log module 16, and the log application module 22. Set to analyze the log and create an index.
  • the analysis of the log file may take various dimensions, such as the calling number, the called number, and the time of the short message. By analyzing these key information, the system indexes these key information for subsequent modules.
  • the source of the log may be two ways, one is to actively obtain the log from the voice control log module 14 and the short message integration log module 16; the other is to receive the message sent by the voice control log module 14 and the short message integration log module 16, and Corresponding logs are generated according to the messages, which may be any intercommunication network messages.
  • the system can support one or two methods at the same time.
  • the log application module 22 is connected to the log indexing module 20.
  • Set to analyze log data set different analysis algorithms, and provide individual users with data analysis corresponding to various application scenarios. For example, the system can statistically analyze the time interval in which a user uses an incoming call to alert a service within 10 years; the system can statistically analyze the number of a user who has texted the user within 10 years.
  • the module preprocesses some data periodically (for example, every day). Ensure that the daily data is processed. When the final business scenario is used, it can be extracted directly from the previous data and submitted to the user's response speed.
  • the following describes in detail the flow of counting the distribution of short messages of a user within N years, and the process of counting the situation of a user receiving a short message within N years.
  • FIG. 5 is a flow chart for counting the distribution of short messages of a user within N years. As shown in FIG. 5, when the distribution of short messages of a user within N years is to be counted, the following steps are included:
  • step S501 the calling number (user A) makes a call to the called number (user B), and the B user does not answer in time, triggering the voice information service of the B user.
  • the business logic passes the voice control module, the SMS integration module, and finally sends to the user B;
  • Step S502 the voice control module and the short message integration module save the log records involved in the logic flow.
  • the save form can be a database or a log file.
  • the saved content includes user A, user B's phone number, and SMS processing time.
  • Step S503 In the mode in which the log indexing module actively acquires the log data, the log indexing module reads the log from the voice control log module and the short message integrated log module, and analyzes the user A number, the user B number, and the processing time in the log. And create an index;
  • the log application module may set the log data to be processed in advance according to a certain period. For example, the number of short messages of the number within 24 hours is calculated according to the granularity of each number and hour per day. In the end user, through the APP client, portal or telephone navigation, etc., you can use the existing data to respond quickly. Thereby improving efficiency and improving user satisfaction.
  • FIG. 6 is a flow chart showing the situation in which a user receives a short message in a N year. As shown in FIG. 6 , when counting the contact status of a short message received by a user within N years, the following steps are included:
  • step S601 the calling number (user A) makes a call to the called number (user B), and the B user does not answer in time, triggering the voice information service of the B user.
  • the business logic passes the voice control module, the SMS integration module, and finally sends to the user B;
  • the voice control module and the short message integration module record the related information of the user A and the user B to the log, such as the phone numbers of the user A and the user B, the processing time, and the like.
  • the voice control log module and the short message integration log module are transmitted to the log index module through a network protocol, such as HTTP or Socket;
  • Step S603 the log indexing module saves the log locally according to a certain format, and User A number, user B number, and processing time in the log are analyzed, and an index is created.
  • the log application module may set the log data to be processed in advance according to a certain period. For example, the number of short messages of the same calling number and the same called number within 24 hours is calculated according to the granularity of each hour every day.
  • the existing data can be used to respond quickly. Thereby improving efficiency and improving user satisfaction.
  • FIG. 7 is a flowchart of a data processing method based on an incoming call alert according to an embodiment of the present invention. As shown in FIG. 7, the method includes the following steps (step S702-step S704):
  • Step S702 analyzing log data based on different dimensions, and setting an index; wherein the log data is a communication interaction information record of the user, and the index is used to associate different dimensions with log data corresponding thereto;
  • the above dimensions may be set by default as the calling number, the called number, the communication time, the communication duration, the communication content keyword, etc., and may also be changed according to the user's needs.
  • Step S704 preset different statistical requirements; use the index to periodically collect log data that meets the preset statistical requirements, and save the log data for the user to query; optionally, save the statistical result of the log data for the user to query after the statistics .
  • the preset statistical requirement is set in combination with an application scenario that the user may use. For example: the distribution of short messages in the user's last year, or the distribution of telephone communication objects within the last two years.
  • the data processing method based on the incoming call reminder introduced in the embodiment solves the problem that the incoming call reminding service system generates a large amount of scattered log data, which is difficult to handle, and can utilize each of the functions to a large extent.
  • the user When the user actively proposes a certain statistical requirement, it receives the user's statistical requirements, and uses the index to collect log data that meets the statistical requirements. Thereby effectively improving user satisfaction and thereby increasing market competitiveness.
  • the embodiment of the present invention further provides a computer readable storage medium, which stores program instructions, and when the program instructions are executed by the processor, a data processing method provided by Embodiment 3 of the present invention can be implemented.
  • Embodiments of the present invention can provide a method for data processing based on an electric reminder service:
  • the voice control module of the incoming call reminding service triggers the short message logic of the system to notify the called user;
  • each module in the system such as voice control log module and SMS integrated log module, saves the process log; the system log indexing module periodically reads the original log;
  • the log indexing module analyzes the time and phone number, creates an index, and saves the index file.
  • the log application module performs pre-processing corresponding to the log data completion business scenario, and directly processes the pre-processed data during use to improve efficiency.
  • the communication business (such as call alert service) has a large number of customers, many countries It is a tens of millions of users.
  • the analysis and application of the system log can analyze the behavior of the statistical user and better serve the user.
  • the technical solution of the embodiment of the present invention solves the problem that the call reminding service system generates a large amount of scattered log data, which is difficult to handle, and can utilize various information to a large extent, thereby improving user satisfaction and market competitiveness.
  • all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve.
  • the devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.
  • each device/function module/functional unit in the above embodiment When each device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium.
  • the above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.
  • the embodiment of the invention implements the processing of the log data of the incoming call reminding service, solves the problem that the incoming call reminding service generates a large amount of scattered log data, is difficult to handle, and can utilize various information to a large extent, thereby improving user satisfaction and market competition. force.

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Abstract

本发明实施例公开了一种基于来电提醒的数据处理方法、装置、系统和计算机可读存储介质。其中,该方法包括:基于不同维度对日志数据进行分析,并设置索引;其中,所述日志数据为用户的通讯交互信息记录,索引用于关联不同维度与其所对应的日志数据;预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询。

Description

一种基于来电提醒的数据处理方法、装置及系统 技术领域
本文涉及但不限于通讯领域,特别是涉及一种基于来电提醒的数据处理方法、装置、系统和计算机可读存储介质。
背景技术
在通讯技术高速发展的今天,通讯行业的增值业务产品也越来越多。在激烈的竞争环境下,谁的新增业务产品更好地贴近个人,更好地服务于个人,而个人更愿意选择使用该产品,谁的产品就能在残酷的市场竞争中占领有利的位置。
同时,大数据这个概念也越演越烈,在海量数据中,哪些数据对用户有用,用户可以通过海量数据发现些什么,可以挖掘出更高的价值。这个对于厂家,对个人用户来说,都具有很大的吸引力。
例如:来电提醒业务,是电信行业中用户量庞大的业务,其各用户行为具有很高的价值。如今,如图1所示的来电提醒系统的结构示意图,来电提醒系统包括:语音控制模块10、短信整合模块12、语音控制日志模块14、短信整合日志模块16。其中,语音控制模块10产生语音控制日志,短信整合模块12产生短信通知日志。来电提醒系统提供了支持千万级用户使用业务的能力,其系统产生的日志是海量的。
针对电信行业中的各种通讯业务系统(如上述来电提醒系统),其产生的日志都非常多。而各种通讯业务系统一般都由多个子模块组成,产生的日志比较分散,而且日志的数据量很大,难以处理。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本发明实施例提供了一种基于来电提醒的数据处理方法,包括:基于不同维度对日志数据进行分析,并设置索引;其中,所述日志数据为用户的通讯交互信息记录,所述索引用于关联不同维度与其所对应的日志数据;预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询;
可选地,定期统计满足预设的统计需求的日志数据后,保存统计结果以供用户查询。
可选地,基于不同维度对日志数据进行分析之前,所述方法还包括:获取终端通讯模块中的通讯交互信息,记录为日志数据;和/或,接收由终端通讯模块发送的通讯交互信息,将所述通讯交互信息记录为日志数据。
可选地,基于不同维度对日志数据进行分析,并设置索引之后,所述方法还包括:接收用户的统计需求,利用所述索引,统计满足所述统计需求的日志数据。
可选地,所述维度至少包括以下之一:主叫号码、被叫号码、通讯时间、通讯时长和通讯内容关键字。
本发明实施例还提供了一种基于来电提醒的数据处理装置,其中,该装置包括:日志索引模块,设置为基于不同维度对日志数据进行分析,并设置索引;其中,所述日志数据为用户的通讯交互信息记录形成,所述索引被设置为关联不同维度与其所对应的日志数据;日志应用模块,设置为预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询。
可选的地,日志应用模块,还设置为定期统计满足预设的统计需求的日志数据后,保存所述日志数据的统计结果以供用户查询。
可选地,所述日志索引模块包括:主动索引单元,设置为获取终端通讯模块中的通讯交互信息,记录为日志数据;和/或,被动索引单元,设置为接收由终端通讯模块发送的通讯交互信息,将所述通讯交互信息记录为日志数据。
可选地,日志应用模块,还设置为接收用户的统计需求,利用所述索引,统计满足所述统计需求的日志数据。
可选地,所述维度至少包括以下之一:主叫号码、被叫号码、通讯时间、通讯时长和通讯内容关键字。
本发明实施例还提供了一种基于来电提醒的数据处理系统,其中,该系统包括:终端通讯模块,设置为将用户的通讯交互信息记录为日志数据并存储,以供日志索引模块进行分析;日志索引模块,设置为基于不同维度对所述日志数据进行分析,并设置索引;其中,所述索引用于关联不同维度与其所对应的日志数据;日志应用模块,设置为预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询;
可选地,日志应用模块,还设置为定期统计满足预设的统计需求的日志数据后,保存所述日志数据的统计结果以供用户查询。
可选地,所述通讯交互信息包括:语音呼叫通讯信息、短信通知信息;所述终端通讯模块包括:语音控制模块,设置为接收用户未成功接收到的语音呼叫通讯信息,并将其记录为日志数据;语音控制日志模块,设置为存储所述语音控制模块产生的日志数据;短信整合模块,设置为在用户未成功接收到语音呼叫通讯信息时,向用户发送短信通知信息,并将所述短信通知信息记录为日志数据;短信整合日志模块,设置为存储所述短信整合模块产生的日志数据。
本发明实施例提供一种计算机可读存储介质,存储有程序指令,当该程 序指令被处理器执行时实现本发明实施例提供的一种基于来电提醒的数据处理方法。
本发明有益效果如下:
通讯业务(例如来电提醒业务)的客户量很大,很多国家都是千万级用户,对系统日志的分析及应用,可以很好地分析统计用户的行为,更好地为用户服务。通过本发明技术方案,解决了相关技术中通讯业务系统产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各种信息,提高用户满意度和市场竞争力。
上述说明仅是本发明实施例技术方案的概述,为了能够更清楚了解本发明实施例的技术手段,而可依照说明书的内容予以实施。在阅读并理解了附图和详细描述后,可以明白其他方面。
在阅读并理解了附图和详细描述后,可以明白其他方面。
附图概述
图1是相关技术的来电提醒系统的结构示意图;
图2是本发明实施例一中一种基于来电提醒的数据处理装置的结构框图;
图3是本发明实施例二中一种基于来电提醒的数据处理系统的结构框图;
图4是本发明实施例二中来电提醒系统的结构示意图;
图5是本发明实施例二中统计某用户N年内短信的分布情况的流程图;
图6是本发明实施例二中统计某用户N年内收到短信联系人情况的流程图;
图7是本发明实施例三中一种基于来电提醒的数据处理方法的流程图。
本发明的较佳实施方式
以下结合附图以及实施例,对本发明实施例的技术方案进行进一步详细说明。
现有的通讯业务系统一般由多个子模块组成,产生的日志比较分散,而且日志的数据量很大。通讯业务系统中缺乏一个日志分析应用模块,针对个人用户日志进行分析,并结合业务特点提供应用场景。
本发明实施例提供一种基于通讯业务(例如:来电提醒业务)的数据处理方案,把通讯业务系统中产生的海量日志数据进行分析加工,再结合用户可能用到的应用场景,设定一些维度,结合算法分析,得到一些系统应用数据,提供给用户使用。下面通过具体实施例进行介绍。
实施例一
本实施例提供了一种基于来电提醒的数据处理装置,该装置可以设置在设备侧。其结构框图如图2所示,该装置包括:日志索引模块20和日志应用模块22。下面对该结构进行详细介绍。
日志索引模块20,设置为基于不同维度对日志数据进行分析,并设置索引;其中,用户的通讯交互信息记录为日志数据,索引用于关联不同维度与其所对应的日志数据;
其中,上述维度可默认设置为主叫号码、被叫号码、通讯时间、通讯时长、通讯内容关键字等,也可根据用户需求设置为其他内容。
日志应用模块22,设置为预设不同的统计需求;利用索引,定期统计满足预设的统计需求的日志数据,并保存日志数据以供用户查询;
可选地,日志应用模块22,还设置为定期统计满足预设的统计需求的日志数据后,保存日志数据的统计结果,以供用户查询。
其中,上述预设的统计需求,是结合用户可能用到的应用场景所设置的。 例如:用户最近一年内的短信息分布情况,或者用户最近两年内的电话沟通对象分布情况等等;或者用户给定期限内来电发生的时间段分布情况。
通过本实施例介绍的数据处理装置,解决了通讯业务系统产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各种信息,统计出用户需求的日志数据,提高用户满意度和市场竞争力。
对于上述日志索引模块20如何获得日志数据,可以有以下两种实现方式,即:日志索引模块20包括:主动索引单元,设置为获取由终端通讯模块中的通讯交互信息所记录产生的日志数据;和/或,被动索引单元,设置为接收由终端通讯模块发送的通讯交互信息,将该通讯交互信息记录为日志数据。数据处理装置可支持其中一种方式或者同时支持两种方式。基于上述可选的实施例,能够及时准确的得到终端通讯模块产生的日志数据,便于后续的日志数据的分析和统计。
在用户主动提出某一种统计需求时,日志应用模块22针对用户的统计需求,利用索引,统计满足统计需求的日志数据。从而有效提高用户满意度,进而提高市场竞争力。
实施例二
本实施例提供了一种基于来电提醒的数据处理系统该数据处理系统的结构框图,如图3所示,该系统包括:终端通讯模块30、日志索引模块20和日志应用模块22。下面对该结构进行详细介绍。
终端通讯模块30,设置为将用户的通讯交互信息记录为日志数据,以供日志索引模块进行分析;
日志索引模块20,设置为基于不同维度对日志数据进行分析,并设置索引;其中,索引用于关联不同维度与其所对应的日志数据;
日志应用模块22,设置为预设不同的统计需求;利用索引,定期统计满 足预设的统计需求的日志数据,并保存日志数据以供用户查询;
可选地,日志应用模块22,还设置为定期统计满足预设的统计需求的日志数据后,保存日志数据的统计结果,以供用户查询。
通过本实施例介绍的基于来电提醒的数据处理系统,解决了来电提醒业务系统产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各种信息,统计出用户需求的日志数据,提高用户满意度和市场竞争力。
上述通讯交互信息可以包括:语音呼叫信息、短信通知信息。终端通讯模块包括:语音控制模块,设置为接收用户未成功接收到的语音呼叫信息,并将其记录为日志数据;语音控制日志模块,设置为存储上述语音控制模块产生的日志数据;短信整合模块,设置为在用户未成功接收到语音呼叫信息时,向用户发送短信通知信息,并将该短信通知信息记录为日志数据;短信整合日志模块,设置为存储上述短信整合模块产生的日志数据。该可选的实施例中的语音控制模块和短信整合模块,将通讯业务信息记录为日志数据,方便后续的日志数据分析和统计操作。
下面以来电提醒系统为例对本实施例技术方案进行介绍。
图4所示的是改进后的来电提醒系统的结构示意图,如图4所示,该系统包括:语音控制模块10、短信整合模块12、语音控制日志模块14、短信整合日志模块16、日志索引模块20和日志应用模块22。从图1与图4的比较中可知,改进后的来电提醒系统中增添了日志索引模块20和日志应用模块22。下面对各个模块的功能进行介绍。
语音控制模块10,与语音控制日志模块14相连,设置为接收用户未接听/关机等情况下,经电信网络的核心网络触发到本系统的信息,并触发对被叫用户进行短信等处理,同时把用户语音呼叫相关的操作信息记录日志。
短信整合模块12,与语音控制模块10和短信整合日志模块16相连。设 置为向被叫用户发送通知短信的信息,同时把用户短信相关信息记录日志。
语音控制日志模块14,与语音控制模块10和日志索引模块20相连。设置为存储语音控制模块10产生的日志文件,同时可以根据系统配置,选择是否向日志索引模块20推送日志信息。
短信整合日志模块16,与短信整合模块12和日志索引模块20相连。设置为存储短信整合模块12产生的日志文件,同时可以根据系统配置,选择是否向日志索引模块20推送日志信息。
日志索引模块20,与语音控制日志模块14、短信整合日志模块16和日志应用模块22相连。设置为对日志进行分析、创建索引。其中,对日志文件的分析,可以采取多种维度,比如按照主叫号码、被叫号码、短信的时间等。系统通过分析这些关键信息,按照这些关键信息建立索引,便于后续模块使用。日志的来源可以是两种方式,一种是主动从语音控制日志模块14、短信整合日志模块16中获取日志;另外一种是接收语音控制日志模块14、短信整合日志模块16发送的消息,并根据消息产生对应的日志,这些消息可以是任意互通的网络消息。同时,系统可同时支持一种或者两种方法。
日志应用模块22,与日志索引模块20相连。设置为分析日志数据,设定不同的分析算法,对个人用户提供各种应用场景所对应的数据分析。例如,系统可以统计分析出某个用户在10年内,用户使用来电提醒业务的时间区间;系统可以统计分析出某个用户在10年内,给该用户短信的号码。同时,因为涉及时间区间比较长,该模块定期(例如每天)预处理一些数据。保证每天的数据进行了加工,在最后业务场景使用时,可以直接从前期的数据中提取,提交用户的反应速度。
结合上述系统为例,下面详细阐述统计某用户N年内短信的分布情况的流程,以及统计某用户N年内收到短信的联系人的情况的流程。
图5所示的是统计某用户N年内短信的分布情况的流程图,如图5所示,当要统计某用户N年内的短信的分布情况时,包括如下步骤:
步骤S501,主叫号码(用户A)给被叫号码(用户B)拨打电话,B用户未及时接听,触发B用户的语音信息业务。业务逻辑经过语音控制模块、短信整合模块,最后发送给用户B;
步骤S502,语音控制模块和短信整合模块把逻辑流程涉及的日志记录保存。保存形式可以是数据库,也可以是日志文件。保存的内容,包括用户A、用户B的电话号码,短信处理时间等信息。
步骤S503,在日志索引模块主动获取日志数据的模式下,日志索引模块从语音控制日志模块、短信整合日志模块中读取日志,并对日志中的用户A号码、用户B号码、处理时间进行分析,并创建索引;
步骤S504,日志应用模块可以设定按一定周期预先处理日志数据,例如每天按照每个号码,每个小时的粒度,计算出24小时内该号码的短信条数。在终端用户,通过APP客户端、门户或电话导航等等方式来查询时,可以利用已有的数据快速响应。从而提高效率,提高用户满意度。
图6所示的是统计某用户N年内收到短信的联系人的情况的流程图,如图6所示,当统计某用户N年内收到的短信的联系人情况时,包括如下步骤:
步骤S601,主叫号码(用户A)给被叫号码(用户B)拨打电话,B用户未及时接听,触发B用户的语音信息业务。业务逻辑经过语音控制模块、短信整合模块,最后发送给用户B;
步骤S602,语音控制模块、短信整合模块把用户A、用户B的相关信息记录到日志,例如用户A、用户B的电话号码,处理时间等。在系统配置日志推送模式下,语音控制日志模块、短信整合日志模块通过网络协议:比如HTTP、Socket等传送给日志索引模块;
步骤S603,日志索引模块把日志根据一定格式把日志保存在本地,并对 日志中的用户A号码、用户B号码、处理时间进行分析,并创建索引;
步骤S604,日志应用模块可以设定按一定周期预先处理日志数据,例如每天按照每个小时的粒度,计算出24小时内同一主叫号码、同一被叫号码的短信次数。在终端用户,通过APP客户端、门户或电话导航等等方式查询时,可以利用已有的数据快速响应。从而提高效率,提高用户满意度。
实施例三
对应于实施例一介绍的基于来电提醒的数据处理装置和实施例二介绍的基于来电提醒的数据处理系统,本实施例提供了一种基于来电提醒的数据处理方法,该方法可以在设备侧实现,图7是根据本发明实施例的基于来电提醒的数据处理方法的流程图,如图7所示,该方法包括以下步骤(步骤S702-步骤S704):
步骤S702,基于不同维度对日志数据进行分析,并设置索引;其中,日志数据为用户的通讯交互信息记录,索引用于关联不同维度与其所对应的日志数据;
其中,上述维度可默认设置为主叫号码、被叫号码、通讯时间、通讯时长、通讯内容关键字等,也可根据用户需求更改设置。
步骤S704,预设不同的统计需求;利用索引,定期统计满足预设的统计需求的日志数据,并保存日志数据以供用户查询;可选地,统计后保存日志数据的统计结果以供用户查询。
其中,上述预设的统计需求,是结合用户可能用到的应用场景所设置的。例如:用户最近一年内的短信息分布情况,或者用户最近两年内的电话沟通对象分布情况等等。
通过本实施例介绍的基于来电提醒的数据处理方法,解决了来电提醒业务系统产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各 种信息,统计出用户需求的日志数据,提高用户满意度和市场竞争力。
对于如何获得日志数据,可以有以下两种实现方式,即:主动获取终端通讯模块中的通讯交互信息,记录为日志数据;和/或,接收由终端通讯模块发送的通讯交互信息,将该通讯交互信息记录为日志数据。上述两种方式可以择其一采用,也可以同时采用。
在用户主动提出某一种统计需求时,接收用户的统计需求,利用索引,统计满足统计需求的日志数据。从而有效提高用户满意度,进而提高市场竞争力。
实施例四
本发明实施例还提供一种计算机可读存储介质,存储有程序指令,当该程序指令被处理器执行时可实现本发明实施例三所提供的一种数据处理方法。
从以上的描述中可知,本文涉及但不限于通讯技术和数据处理领域,更具体地,涉及通讯领域中的来电提醒业务的数据处理。本发明实施例能够提供基于电提醒业务的数据处理的方法:
1)来电提醒业务的语音控制模块在接收到电信网络的消息后,触发系统的短信逻辑,通知到被叫用户;
2)同时,系统中的各个模块,如语音控制日志模块、短信整合日志模块将过程日志保存下来;系统的日志索引模块定时来读取原始日志;
3)日志索引模块针对时间、电话号码进行分析,创建索引,并保存索引文件。
4)日志应用模块对日志数据完成业务场景对应的预先处理,在使用时,直接在预先处理后的数据中进行加工,提高效率。
众所周知,通讯业务(例如来电提醒业务)的客户量很大,很多国家都 是千万级用户,对系统日志的分析及应用,可以很好地分析统计用户的行为,更好地为用户服务。通过本发明实施例的技术方案,解决了来电提醒业务系统产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各种信息,提高用户满意度和市场竞争力。
本领域普通技术人员可以理解上述实施例的全部或部分步骤可以使用计算机程序流程来实现,所述计算机程序可以存储于一计算机可读存储介质中,所述计算机程序在相应的硬件平台上(如系统、设备、装置、器件等)执行,在执行时,包括方法实施例的步骤之一或其组合。
可选地,上述实施例的全部或部分步骤也可以使用集成电路来实现,这些步骤可以被分别制作成一个个集成电路模块,或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。
上述实施例中的各装置/功能模块/功能单元可以采用通用的计算装置来实现,它们可以集中在单个的计算装置上,也可以分布在多个计算装置所组成的网络上。
上述实施例中的各装置/功能模块/功能单元以软件功能模块的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。上述提到的计算机可读取存储介质可以是只读存储器,磁盘或光盘等。
工业实用性
本发明实施例实现了对来电提醒业务的日志数据的处理,解决了来电提醒业务产生大量分散的日志数据,难以处理的问题,能够较大限度地利用各种信息,提高用户满意度和市场竞争力。

Claims (14)

  1. 一种基于来电提醒的数据处理方法,包括:
    基于不同维度对日志数据进行分析,并设置索引;其中,所述日志数据为用户的通讯交互信息记录,所述索引用于关联不同维度与其所对应的日志数据;
    预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询。
  2. 如权利要求1所述的方法,基于不同维度对日志数据进行分析之前,所述方法还包括:
    获取终端通讯模块中的通讯交互信息,记录为日志数据;和/或,
    接收由终端通讯模块发送的通讯交互信息,将所述通讯交互信息记录为日志数据。
  3. 如权利要求1所述的方法,基于不同维度对日志数据进行分析,并设置索引之后,所述方法还包括:
    接收用户的统计需求,利用所述索引,统计满足所述统计需求的日志数据。
  4. 如权利要求1所述的方法,其中,所述维度至少包括以下之一:
    主叫号码、被叫号码、通讯时间、通讯时长和通讯内容关键字。
  5. 如权利要求1所述的方法,所述定期统计满足预设的统计需求的日志数据后,还包括:
    保存所述日志数据的统计结果,以供用户查询。
  6. 一种基于来电提醒的数据处理装置,包括:日志索引模块和日志应用模块,其中
    所述日志索引模块,设置为基于不同维度对日志数据进行分析,并设置索引;其中,所述日志数据为用户的通讯交互信息记录,所述索引用于关联 不同维度与其所对应的日志数据;
    所述日志应用模块,设置为预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询。
  7. 如权利要求6所述的装置,其中,所述日志索引模块包括:
    主动索引单元,设置为获取由终端通讯模块中的通讯交互信息所记录产生的日志数据;和/或,
    被动索引单元,设置为接收由终端通讯模块发送的通讯交互信息,将所述通讯交互信息记录为日志数据。
  8. 如权利要求6所述的装置,
    所述日志应用模块,还设置为接收用户的统计需求,利用所述索引,统计满足所述统计需求的日志数据。
  9. 如权利要求6所述的装置,其中,所述维度至少包括以下之一:
    主叫号码、被叫号码、通讯时间、通讯时长和通讯内容关键字。
  10. 如权利要求6所述的装置,所述日志应用模块,还设置为:
    定期统计满足预设的统计需求的日志数据后,保存所述日志数据的统计结果,以供用户查询。
  11. 一种基于来电提醒的数据处理系统,包括:终端通讯模块、日志索引模块和日志应用模块,其中,
    所述终端通讯模块,设置为将用户的通讯交互信息记录为日志数据并存储,以供日志索引模块进行分析;
    所述日志索引模块,设置为基于不同维度对所述日志数据进行分析,并设置索引;其中,所述索引用于关联不同维度与其所对应的日志数据;
    所述日志应用模块,设置为预设不同的统计需求;利用所述索引,定期统计满足预设的统计需求的日志数据,并保存所述日志数据以供用户查询。
  12. 如权利要求11所述的系统,其特征在于,
    所述通讯交互信息包括:语音呼叫通讯信息、短信通知信息;
    所述终端通讯模块包括:
    语音控制模块,设置为接收用户未成功接收到的语音呼叫通讯信息,并将其记录为日志数据;语音控制日志模块,设置为存储所述语音控制模块产生的日志数据;
    短信通知模块,设置为在用户未成功接收到语音呼叫通讯信息时,向用户发送短信通知信息,并将所述短信通知信息记录为日志数据;短信通知日志模块,设置为存储所述短信通知模块产生的日志数据。
  13. 如权利要求11所述的系统,所述日志应用模块,还设置为:
    定期统计满足预设的统计需求的日志数据后,保存所述日志数据的统计结果,以供用户查询。
  14. 一种计算机可读存储介质,存储有程序指令,当该程序指令被处理器执行时实现权利要求1-5任一项所述的方法。
PCT/CN2015/089358 2015-03-25 2015-09-10 一种基于来电提醒的数据处理方法、装置及系统 WO2016150111A1 (zh)

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