WO2020134685A1 - 亲密度计算方法、装置、设备和介质 - Google Patents

亲密度计算方法、装置、设备和介质 Download PDF

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Publication number
WO2020134685A1
WO2020134685A1 PCT/CN2019/118930 CN2019118930W WO2020134685A1 WO 2020134685 A1 WO2020134685 A1 WO 2020134685A1 CN 2019118930 W CN2019118930 W CN 2019118930W WO 2020134685 A1 WO2020134685 A1 WO 2020134685A1
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Prior art keywords
data
session
intimacy
user
instant messaging
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PCT/CN2019/118930
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English (en)
French (fr)
Inventor
谢清泉
王海啸
何振峰
戴建明
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苏州龙信信息科技有限公司
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Publication of WO2020134685A1 publication Critical patent/WO2020134685A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21—Monitoring or handling of messages
    • H04L51/216—Handling conversation history, e.g. grouping of messages in sessions or threads

Definitions

  • the embodiments of the present invention relate to the technical field of data processing, for example, to an intimacy calculation method, device, device, and medium.
  • Instant messaging software is an instant communication software based on the Internet. Since its inception, it has developed rapidly. More and more users use instant messaging software in their daily lives, and more than 94% of users install WeChat and other instant messaging software on their smartphones. Among them, the session data of users' instant messaging software is mostly stored locally in the form of encrypted backup data. Inside the smart terminal. At present, the direction of analyzing and researching user session data is diverse, and the analysis of user intimacy through session data is the most important one. Developers can provide users with better experience based on the results of intimacy analysis.
  • intimacy reflects the user's interaction with friends through a specific score.
  • the data based on intimacy analysis is often user personal data, mutual visit behaviors, and joint participation data.
  • the application scenarios are mostly games and social networking sites. Because the data on which the intimacy analysis is based has many problems of data falsification and double calculation, the result of the intimacy calculation is inaccurate.
  • the present application provides an intimacy calculation method, device, equipment, and medium to achieve accurate calculation of the intimacy of a user and a conversation object.
  • an embodiment of the present invention provides a method for determining intimacy.
  • the method includes:
  • the intimacy of the user to the conversation object corresponding to each of the text information is determined.
  • an embodiment of the present invention further provides an apparatus for determining intimacy.
  • the apparatus includes:
  • the business data extraction module is set to extract business data from pre-stored instant messaging backup data
  • a text information acquiring module configured to acquire text information of the user and at least one conversation object contained in the business data
  • the intimacy determination module is configured to determine the intimacy of the user to the conversation object corresponding to each text information according to each text information.
  • an embodiment of the present invention further provides a device, the device including:
  • One or more processors are One or more processors;
  • the memory is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are implemented as described in any one of the embodiments of the present invention Method of determining intimacy.
  • an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored.
  • a computer program is stored on which a computer program is stored.
  • the program is executed by a processor, an intimacy determination method as described in any of the embodiments of the present invention is implemented.
  • the embodiment of the present invention extracts the text information of at least one conversation object in the business data by acquiring the business data in the backup data of the instant messaging; determining the intimacy of the user and each conversation object according to the extracted text information;
  • the analysis ensures the authenticity of the data used in the analysis process and improves the accuracy of the intimacy calculation.
  • FIG. 1 is a flowchart of steps of a method for determining intimacy according to Embodiment 1 of the present invention
  • Embodiment 2 is a flowchart of steps of a method for determining intimacy provided by Embodiment 2 of the present invention
  • FIG. 3 is a schematic structural diagram of an apparatus for determining intimacy according to Embodiment 3 of the present invention.
  • FIG. 4 is a schematic structural diagram of a device according to Embodiment 4 of the present invention.
  • FIG. 1 is a flowchart of steps of a method for determining intimacy according to Embodiment 1 of the present invention. This embodiment can be applied to the case of determining session intimacy. The method can be performed by an apparatus for determining intimacy. The method for determining the intimacy provided by the embodiment includes:
  • Step 101 Extract business data from pre-stored instant messaging backup data.
  • the instant messaging backup data can be the data generated by the user during the use of the instant messaging software.
  • the instant messaging software backup data can be obtained by copying from the user terminal and downloading from the instant messaging software server.
  • Business data can be It is the data generated by the user's conversation with the conversation object, for example, the historical chat record and QQ chat record in WeChat.
  • the data generated by the instant messaging software during user use can be obtained from the user terminal or the instant messaging software server, and user session data can be extracted from the acquired data, and the user session data can be used as business data.
  • the WeChat backup data is obtained, and the WeChat backup data is processed to obtain EnMicroMsg.
  • Step 102 Acquire text information of the user and at least one conversation object contained in the service data.
  • the conversation object may be a person who has an instant messaging software conversation with the user
  • the text information may be a conversation record generated during the conversation with the conversation object, which may include conversation content, conversation time, and conversation date.
  • the acquired business data may be processed to remove chat data that is not between the user and the conversation object in the business data, and the chat session record of the processed user and conversation object may be obtained.
  • the chat session record of the processed user and conversation object may be obtained.
  • you can read the message data table in the EnMicroMsg.db file, where the message data table stores WeChat chat records you can use the traversal method to get the chat records stored in the message data table.
  • character matching can be used to remove the official account chat data and group chat data before acquiring the chat history.
  • Step 103 Determine the intimacy of the user to the conversation object corresponding to each text information according to each text information.
  • intimacy can be a value that reflects the intimacy of the user with the conversation object, and its form can be any combination of numbers, letters, Chinese characters, and special characters. For example, the greater the value of intimacy, the more intimate it represents high.
  • the chat history content of the user and the conversation object may be obtained, and the chat history content may be analyzed, including determining whether there is an intimate nickname or a blessing in the chat history content. The higher the user's intimacy with the conversation object.
  • the business data is obtained from the pre-stored instant messaging backup data; the text information used for the conversation object is obtained; the intimacy of the user and the conversation object is determined according to the content of the text information; based on the user conversation
  • the analysis of text information ensures the authenticity of intimacy calculation data and improves the accuracy of intimacy calculation results.
  • the extracting business data from the preset instant messaging backup data includes:
  • user conversation data is extracted from the instant messaging conversation data as business data.
  • the encryption key can be the key of the instant messaging backup data decryption algorithm
  • the instant messaging session relationship table can be a data table that stores information such as the session data identification number, session data storage format, and storage location.
  • the storage form can be Files, tables, databases, etc.
  • instant messaging session data can be text information of the session data
  • single-end can refer to a sender or a receiver
  • single-end to single-end can be a sender to a receiver, that is, session data
  • the participants include only one receiver and one sender.
  • the encryption key can be used to decrypt the data generated by the instant messaging software in the user terminal to obtain the decrypted data table and session data that store the session data identification number, session data storage format and storage location, etc.
  • the text information can obtain the storage location of the session data sent by a single sender to a single receiver in the instant messaging session relationship table, and obtain corresponding data as business data at the corresponding location of the communication session data according to the storage location.
  • the encryption key of the EnMicroMsg.db backup file of the session message in WeChat is composed of the first 7 digits of the MD5 value of the combination of IMEI and UIN, and can be obtained from the IMEI and system_config_prefs.xml files recorded in the CompatibleInfo.cfg file of WeChat UIN, combined to form an encryption key, use the encryption key to decrypt the WeChat session data backup EnMicroMsg.db file, remove the public account data and group data stored therein, retain the chat history data of users and session objects, obtain WeChat instant Communication session relationship table FTS5IndexMicroMsg.db The storage location of the chat record data of the user and the session object. According to the storage location, the chat data stored in the location in the EnMicroMsg.db file is obtained, and the acquired chat data is used as business data.
  • the method for determining the intimacy provided by this embodiment includes:
  • Step 201 Decrypt the instant messaging backup data stored in the user's smart terminal based on the given encryption key, and obtain the decrypted instant messaging session relationship table and instant messaging session data.
  • Step 202 Obtain at least one single-end to single-end session data storage location recorded in the instant messaging session relationship table.
  • Step 203 Based on the storage location of the session data, extract user session data from the instant messaging session data as business data.
  • Step 204 Restore the deleted session data from the instant messaging backup data, and merge the deleted service data in the deleted session data into the service data.
  • the deleted session data may be instant messaging software session data that has been deleted or emptied by the user, and the deleted session data may be deleted in a logical form, that is, a deletion mark is added to the deleted session data.
  • file reading software can be used to directly read the data marked with deletion in the instant messaging backup data, and the read data is used as the deleted session data, and the deleted session data can be obtained to extract users and sessions
  • the data generated by the subject's conversation is filtered out of the deleted conversation data and the repeated data in the conversation data, and the remaining part is added to the business data.
  • the obtained instant communication backup data can be read according to the storage format of the instant backup data, and all instant communication backup data including session data and deleted session data can be read, using character matching or regularization
  • the expression filters out the deleted session data part, and merges the deleted data into the business data according to the session object.
  • Step 205 Acquire text information of the user and at least one conversation object contained in the service data.
  • Step 206 Determine the session attribute information from the user to the corresponding session object according to the text information.
  • the session attribute information may be attribute information of the user and the session object session, and may include session attributes such as the total number of sessions, the total number of session days, the session frequency of each session day, and the length of the session time.
  • the session attribute information may be calculated Calculated.
  • the text information of the corresponding conversation can be obtained for the conversation object that has a conversation with the user, and the total number of conversations, the total number of conversation days, and the conversation frequency of each conversation day can be counted respectively, and the total number of conversations can be obtained from the statistics , The total number of session days and the session frequency of each session day are used as attribute information from the user to the corresponding session object.
  • Step 207 Word segmentation processes each of the text information to obtain a keyword set corresponding to each of the text information.
  • word segmentation processing may be to divide the sequence of Chinese characters into individual words and/or to divide the sequence of English words into English words with spaces and carriage returns.
  • the conversation content of the text information corresponding to the conversation object may be separately divided into Chinese character words and/or English words, and the obtained Chinese character words and/or English words constitute a keyword set, where the keyword set corresponds to the conversation object one by one.
  • Step 208 Determine the number of keywords in each of the keyword sets that match the preset keywords in the preset keyword library.
  • the preset keyword library may be a database or collection that stores keywords related to intimacy
  • the preset keywords may be words that reflect the intimacy of users and conversations, such as: nicknames, relative names, and moda. And other intimacy words.
  • the acquired keyword set can be matched with the preset keywords in the preset keyword library, and the number of occurrences of the preset keywords in the keyword set can be counted.
  • the number of matching keywords may be increased by one.
  • Step 209 Determine the number of keywords corresponding to the text information as the intermediate intimacy between the user and the corresponding conversation object.
  • the intermediate intimacy may be an intermediate value in determining the intimacy process, and may be determined according to the number of keywords.
  • the number of keywords corresponding to the conversation object with the user may be determined according to the relationship between the number of keywords and the intermediate intimacy.
  • keywords The number can be positively or negatively correlated with the intermediate density degree. The greater the number of keywords, the greater the inter-intimacy, or the greater the number of keywords, the smaller the inter-intimacy. For example, the number of keywords can be directly used as the intermediate intimacy. If the number of keywords is 100, the median intimacy is 100.
  • Step 210 Adjust the intermediate intimacy of the user to the corresponding conversation object based on each of the session attribute information to obtain the target intimacy of the user to the corresponding conversation object.
  • the target intimacy may be a value determined by the user and the conversation object to reflect the intimacy relationship, including numbers, letters, text, and special symbols.
  • the session attribute information of the corresponding session data can be obtained, and the intermediate intimacy can be adjusted according to the attribute information. If the session attribute information reflects the intimacy between the user and the session object, the more attributes The adjustment of the corresponding value of the intermediate intimacy is expanded. For example, the longer the duration of the session, the greater the increase in the corresponding value of the intermediate intimacy. The adjusted intermediate intimacy is used as the target intimacy of the user and the conversation object.
  • the technical solution of the embodiment of the present invention obtains the instant messaging session relationship table and the instant messaging session data by decrypting the instant messaging backup data, and extracts the content of the corresponding position in the instant messaging session data as business data according to the storage location of the session data, and deletes the deleted session
  • the data is recovered and merged into the business data, and the intimacy of the user and the conversation object is determined through the analysis of the business data text information and attribute information; adding the recovered deleted data to the business data makes the intimacy calculation data more accurate and avoids
  • the data analysis is incomplete, and the joint analysis of the text information and attribute information of the business data makes the intimacy calculation process more accurate, makes the results close to reality, and improves the practicality of intimacy calculation.
  • the adjusting the user's intimacy to the corresponding conversation object based on each of the session attribute information to obtain the target intimacy from the user to the corresponding conversation object includes:
  • For each conversation object obtain the total number of conversation days and the total number of conversations and the conversation frequency of each conversation day from the conversation attribute information of the user to the conversation object;
  • the intermediate intimacy of the user to the conversation object is adjusted, and the adjusted intermediate intimacy is determined as the target intimacy of the user to the conversation object.
  • the total number of conversation days can be the total number of days in which the user and the conversation object have a conversation chat
  • the total number of conversations can be the total number of conversations between the user and the conversation object
  • the frequency of each conversation day can be the user in one day
  • the preset value adjustment table may be a correspondence table between the total number of days in the session and the first adjustment value.
  • the correspondence between the total number of days in the preset value adjustment table and the first adjustment value may include positive Relevant or negative correlation, the greater the total number of sessions, the greater the first adjustment value or the greater the total number of sessions, the smaller the first adjustment value. For example, if the total number of session days is 20 days, the first adjustment value can correspond to 30.
  • the preset value adjustment table may also include the correspondence between the total number of conversations and the second adjustment value and the correspondence between the conversation frequency of each conversation day and the third adjustment, the total number of conversations and the second adjustment value.
  • the correspondence relationship, the conversation frequency of each conversation day, and the correspondence relationship of the third adjustment can also be obtained by querying a preset value adjustment table.
  • the session attributes can be obtained for the session object, and information such as the total number of sessions and the total number of sessions and the session frequency of each session day can be obtained according to the session time and session date, respectively, and can be adjusted at a preset value In the table, the first adjustment value and the corresponding relationship between the total number of sessions and the first adjustment value, the corresponding relationship between the total number of sessions and the second adjustment value, the conversation frequency of each conversation day and the third adjustment are determined respectively.
  • the second adjustment value and the third adjustment value and then use the first adjustment value, the second adjustment value, and the third adjustment value to adjust based on the corresponding intermediate intimacy of the conversation object, and the adjusted intermediate intimacy is the user and the conversation
  • the recovery of deleted session data from instant messaging backup data includes:
  • the instant messaging session relationship table may include the storage format and storage location of the deleted session data, such as the FTS5IndexMicroMsg.db file in WeChat.
  • the decrypted communication backup data it is possible to obtain the decrypted communication backup data, extract the instant messaging session relationship table therein, obtain the corresponding storage location information and storage format information for each deleted session, and then according to the storage location of the deleted data
  • the data is obtained according to the size of the data structure in the storage format, and the obtained data is used as the target data, that is, the recovered deleted session data.
  • FIG. 3 is a schematic structural diagram of an apparatus for determining intimacy provided by Embodiment 3 of the present invention; the apparatus for determining intimacy provided by Embodiments of the present invention may perform the method for determining intimacy provided by any embodiment of the present application, and have the corresponding execution method Functional modules and beneficial effects.
  • the apparatus for determining the intimacy provided by this embodiment includes: a business data extraction module 301, a text information acquisition module 302, and an intimacy determination module 303.
  • the business data extraction module is set to extract business data from pre-stored instant messaging backup data.
  • the text information acquiring module is configured to acquire text information of the user and at least one conversation object contained in the service data.
  • the intimacy determining module is configured to determine the intimacy of the user to the corresponding conversation object of the text information based on the text information.
  • a business acquisition module extracts business data from pre-stored instant messaging backup data; a text information acquisition module acquires text information of the user and at least one conversation object contained in the business data; an intimacy determination module According to each text information, the intimacy of the user to the conversation object corresponding to each text information is determined; by analyzing the user's conversation text information, the authenticity of the data is ensured, and the accuracy of the intimacy calculation result is improved.
  • FIG. 4 is a schematic structural diagram of a device according to Embodiment 4 of the present invention.
  • the device includes a processor 70, a memory 71, an input device 72, and an output device 73; the number of processors 70 in the device may be One or more, one processor 70 is taken as an example in FIG. 4; the processor 70, the memory 71, the input device 72, and the output device 73 in the device may be connected through a bus or other means, and FIG. 4 is taken as an example through a bus connection .
  • the memory 71 as a computer-readable storage medium can be used to store software programs, computer executable programs, and modules, such as program modules corresponding to the intimacy determination method in the embodiments of the present invention (for example, business data extraction in an intimacy determination device Module 301, text information acquisition module 302 and intimacy determination module 303).
  • the processor 70 executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in the memory 71, that is, implementing the above-mentioned intimacy determination method.
  • the memory 71 may mainly include a storage program area and a storage data area, where the storage program area may store an operating system and application programs required for at least one function; the storage data area may store data created according to the use of the terminal, and the like.
  • the memory 71 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device.
  • the memory 71 may include memories remotely provided with respect to the processor 70, and these remote memories may be connected to a device/terminal/server through a network. Examples of the aforementioned network may include the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
  • the input device 72 can be used to receive input numeric or character information, and generate key signal input related to user settings and function control of the device/terminal/server.
  • the output device 73 may include a display device such as a display screen.
  • Embodiment 5 of the present invention further provides a storage medium containing computer-executable instructions.
  • a method for determining an intimacy is performed. The method includes:
  • each text information the intimacy of the user to the conversation object corresponding to each text information is determined.
  • a storage medium containing computer-executable instructions provided by an embodiment of the present invention can also perform related operations in the method for determining intimacy provided by any embodiment of the present application.
  • the present application can be implemented by software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better embodiment .
  • the technical solutions of the present application can essentially be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as computer floppy disks, Read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including several instructions to make a computer device (which can be a personal computer, Server, or network equipment, etc.) to execute the method described in each embodiment of the present application.
  • a computer device which can be a personal computer, Server, or network equipment, etc.
  • each unit and module included are only divided according to functional logic, but it is not limited to the above division, as long as the corresponding function can be achieved; in addition, The names of the functional units are only for the purpose of distinguishing each other, and are not used to limit the protection scope of the present application.

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Abstract

本发明实施例公开了一种亲密度确定方法、装置、设备和介质。所述方法包括：从预存的即时通讯备份数据中提取业务数据；获取所述业务数据中包含的用户与至少一个会话对象的文本信息；根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度。

Description

亲密度计算方法、装置、设备和介质
本公开要求在2018年12月28日提交中国专利局、申请号为201811622183.5的中国专利申请的优先权，以上申请的全部内容通过引用结合在本公开中。
技术领域
本发明实施例涉及数据处理技术领域，例如涉及一种亲密度计算方法、装置、设备和介质。
背景技术
即时通讯软件是一种基于互联网的即时交流软件，自问世以来，发展迅速。越来越多的用户在日常生活中使用即时通讯软件，超过94％的用户在智能手机中安装微信等即时通讯软件，其中，用户即时通讯软件的会话数据多以加密备份数据的形式存储于本地智能终端内部。目前，对用户会话数据进行分析研究的方向多种多样，通过会话数据对用户亲密度的分析是其中最为重要的一项，开发者根据亲密度分析结果可为用户提供体验度更佳的服务。
相关技术中，亲密度是通过一个具体的分值体现用户和好友互动的热度，亲密度分析依据的数据常为用户个人资料、互访行为和共同参与数据等，应用场景多为游戏和社交网站，由于亲密度分析依据的数据多存在数据伪造和重复计算的问题，导致亲密度计算结果不准确。
发明内容
本申请提供一种亲密度计算方法、装置、设备和介质，以实现用户与会话对象亲密度的准确计算。
第一方面，本发明实施例提供了一种亲密度确定方法，该方法包括：
从预存的即时通讯备份数据中提取业务数据；
获取所述业务数据中包含的用户与至少一个会话对象的文本信息；
根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度。
第二方面，本发明实施例还提供了一种亲密度确定装置，该装置包括：
业务数据提取模块，被设置为从预存的即时通讯备份数据中提取业务数据；
文本信息获取模块，被设置为获取所述业务数据中包含的用户与至少一个 会话对象的文本信息；
亲密度确定模块，被设置为根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度。
第三方面，本发明实施例还提供了一种设备，该设备包括：
一个或多个处理器；
存储器，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如本发明实施例中任一所述的亲密度确定方法。
第四方面，本发明实施例还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本发明实施例中任一所述的亲密度确定方法。
本发明实施例通过获取即时通讯备份数据中的业务数据，提取该业务数据中的至少一个会话对象的文本信息；根据提取的文本信息确定用户和各会话对象的亲密度，通过对用户会话文本信息的分析，确保了分析过程使用的数据真实性，提高了亲密度计算的准确度。
附图说明
图1是本发明实施例一提供的一种亲密度确定方法的步骤流程图；
图2是本发明实施例二提供的一种亲密度确定方法的步骤流程图；
图3是本发明实施例三提供的一种亲密度确定装置的结构示意图；
图4是本发明实施例四提供的一种设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
实施例一
图1是本发明实施例一提供的一种亲密度确定方法的步骤流程图，本实施例可适用于确定会话亲密度的情况，该方法可以由亲密度确定装置来执行，参见图1，本实施例提供的亲密度确定方法包括：
步骤101、从预存的即时通讯备份数据中提取业务数据。
需要说明的是，即时通讯备份数据可以是用户在即时通讯软件使用过程中生成的数据，即时通讯软件备份数据的获取方式可以包括从用户终端拷贝获得和从即时通讯软件服务器下载获得，业务数据可以是用户与会话对象进行会话产生的数据，例如，微信中历史聊天记录和QQ聊天记录。
在一些实施例中，可以从用户终端或即时通讯软件服务器中获取即时通讯软件在用户使用过程产生的数据，在获取到的数据中提取用户会话数据，将用户会话数据作为业务数据。
示例性的，可以在用户手机端使用“备份手机数据”功能，将手机中关于微信的所有数据进行备份，备份完成后，获取到微信的备份数据，对微信备份数据进行处理，获取其中EnMicroMsg.db文件中的数据，将该数据作为业务数据。
步骤102、获取所述业务数据中包含的用户与至少一个会话对象的文本信息。
需要说明的是，会话对象可以是与用户进行即时通讯软件会话的人，文本信息可以是用于与会话对象进行会话时产生的会话记录，可以包括会话内容、会话时间和会话日期等。
在一些实施例中，可以对获取到的业务数据进行处理，去除业务数据中不是用户与会话对象的聊天数据，可以获取经过处理的用户与会话对象的聊天会话记录。示例性的，以获取微信聊天记录为例，可以读取EnMicroMsg.db文件中的message数据表，其中message数据表存储的是微信聊天记录，可以使用遍历的方式获取message数据表中存储的聊天记录，在一些实施例中，由于微信公众号聊天数据具有前缀gh和群组聊天数据具有后缀@chatroom，因此在获取聊天记录之前可以使用字符匹配去除公众号聊天数据和群组聊天数据。
步骤103、根据各所述文本信息，确定用户到对应各所述文本信息会话对象的亲密度。
需要说明的是，亲密度可以是反映用户与会话对象亲密程度的数值，其形式可以是数字、字母、汉字和特殊字符的任意组合形式，例如，亲密度的数值越大，代表其亲密程度越高。
在一些实施例中，可以针对每个会话对象，获取用户与会话对象的聊天记录内容，对聊天记录内容进行分析，包括判断聊天记录内容中是否存在亲密昵称或祝福语，若出现次数越多，用户与该会话对象的亲密度越高。
本发明实施例的技术方案，通过从预存的即时通讯备份数据中获取业务数 据；获取其中用于与会话对象的文本信息；根据该文本信息的内容确定用户与会话对象的亲密度；基于用户会话文本信息的分析，确保了亲密度计算数据的真实性，并提高了亲密度计算结果的准确性。
在上述实施例的基础上，所述从预设的即时通讯备份数据中提取业务数据，包括：
基于给定的加密密钥解密存储在用户智能终端中的即时通讯备份数据，获取解密后的即时通讯会话关系表和即时通讯会话数据；
获取即时通讯会话关系表中记录的至少一条单端到单端的会话数据存储位置；
基于各所述会话数据存储位置，从所述即时通讯会话数据中提取用户会话数据作为业务数据。
需要说明的是，加密密钥可以是即时通讯备份数据解密算法的密钥，即时通讯会话关系表可以是存储会话数据标识号、会话数据存储格式和存储位置等信息的数据表，存储形式可以是文件、表格和数据库等，即时通讯会话数据可以是会话数据的文本信息，单端可以是指一个发送方或一个接收方，单端到单端可以是一个发送方到一个接收方，即会话数据的参与者仅包括一个接收方和一个发送方。
在一些实施例中，可以使用加密密钥解密用户终端中即时通讯软件使用过程产生的数据，获取解密后的存储会话数据标识号、会话数据存储格式和存储位置等信息的数据表和会话数据的文本信息，可以获取即时通讯会话关系表中的由单个发送方发送到单个接收方会话数据的存储位置，根据该存储位置在通讯会话数据的对应位置获取对应数据作为业务数据。
示例性的，微信中会话消息的备份文件EnMicroMsg.db的加密密钥是由IMEI与UIN组合取MD5值的前7位构成，可以获取微信CompatibleInfo.cfg文件中记录的IMEI和system_config_prefs.xml文件中的UIN，组合形成加密密钥，使用该加密密钥解密微信的会话数据备份EnMicroMsg.db文件，去除其中存储的公众号数据和群组数据，保留用户和会话对象的聊天记录数据，获取微信即时通讯会话关系表FTS5IndexMicroMsg.db中用户和会话对象的聊天记录数据的存储位置，根据该存储位置获取EnMicroMsg.db文件中该位置内存储的聊天数据，将获取的聊天数据作为业务数据。
实施例二
图2是本发明实施例二提供的一种亲密度确定方法的步骤流程图；本实施例是在上述实施例的基础上，提供的一种可选方案。参见图2，本实施例提供的亲密度确定方法包括：
步骤201、基于给定的加密密钥解密存储在用户智能终端中的即时通讯备份数据，获取解密后的即时通讯会话关系表和即时通讯会话数据。
步骤202、获取即时通讯会话关系表中记录的至少一条单端到单端的会话数据存储位置。
步骤203、基于各所述会话数据存储位置，从所述即时通讯会话数据中提取用户会话数据作为业务数据。
步骤204、从即时通讯备份数据中恢复已删除会话数据，并将所述已删除会话数据中的已删除业务数据并入所述业务数据。
需要说明的是，已删除会话数据可以是已经被用户删除或者清空的即时通讯软件会话数据，已删除会话数据的删除形式可以是逻辑删除，即在被删除的会话数据处添加删除标记。
在一些实施例中，可以使用文件读取软件直接在即时通讯备份数据中读取有删除标记的数据，将读取到的数据作为已删除会话数据，可以获取到已删除会话数据提取用户和会话对象的进行会话产生的数据，筛除已删除会话数据中与会话数据中重复得部分，将剩余部分添加进业务数据中。
一种可选的实施方式，可以将获取到即时通讯备份数据按照即时备份数据的存储格式进行读取，读取到包含会话数据和已删除会话数据的所有即时通信备份数据，使用字符匹配或者正则表达式筛选出已删除会话数据部分，并将已删除数据根据会话对象合并到业务数据。
步骤205、获取所述业务数据中包含的用户与至少一个会话对象的文本信息。
步骤206、根据各所述文本信息，确定用户到相应会话对象的会话属性信息。
需要说明的是，会话属性信息可以是用户和会话对象会话的属性信息，可以包括会话总条数、会话总天数、各会话天的会话频率和会话时间长度等会话属性，会话属性信息可以经过统计计算获得。
在一些实施例中，可以针对和用户进行会话的会话对象，获取其对应会话的文本信息，分别统计会话总条数、会话总天数和各会话天的会话频率，可以将统计得到会话总条数、会话总天数和各会话天的会话频率等属性信息作为用户到相应会话对象的属性信息。
步骤207、分词处理各所述文本信息，获取各所述文本信息对应的关键词集合。
需要说明的是，分词处理可以是将汉字序列切分为一个个单独的词和/或将英文单词序列以空格和回车等切分为一个个的英文单词。
在一些实施例中，针对和用户进行会话的会话对象，可以分别获取对应会话对象的文本信息的会话内容切分为一个个的汉字词语和/或者英文单词，将获取到的汉字词语和/或英文单词构成关键词集合，其中关键词集合和会话对象一一对应。
步骤208、确定各所述关键词集合中与预置关键词库中预置关键词相匹配的关键词个数。
需要说明的是，预置关键词库可以是存储有与亲密度相关关键词的数据库或集合，预置关键词可以是体现用户和会话亲密度的词语，例如：昵称、亲属称呼和么么哒等亲密性词语。
在一些实施例中，针对每个会话对象，可以将获取的关键词集合与预置的关键词库中的预置关键词进行匹配，统计预置关键词在关键词集合中出现的个数，示例性的，关键词集合中每出现一个“么么哒”，则可以将相匹配的关键词个数加1。
步骤209、将各所述文本信息对应的关键词个数确定为用户到相应会话对象的中间亲密度。
需要说明的是，中间亲密度可以是确定亲密过程中的中间值，可以根据关键词个数确定。
在一些实施例中，可以针对和用户进行会话的会话对象，分别其对应的关键词个数，根据关键词个数与中间亲密度的关系，确定中间亲密度，在一些实施例中，关键词个数可以与中间密度度成正相关或者负相关的关系，关键词个数越多其中间亲密度越大或关键词个数越多其中间亲密度越小。例如，可以将关键词个数直接作为中间亲密度，关键词个数为100，则其中间亲密度为100。
步骤210、基于各所述会话属性信息调整用户到相应会话对象的中间亲密度，获得用户到相应会话对象的目标亲密度。
需要说明的是，目标亲密度可以是用户和会话对象确定反映亲密关系的数值，包括数字、字母、文字和特殊符号等。
在一些实施例中，针对各会话对象，可以根据获取其对应会话数据的会话 属性信息，根据该属性信息调整中间亲密度，若会话属性信息中越体现用户和会话对象亲密关系的属性越多越将中间亲密度对应数值调整扩大，例如会话时间长度越长，则中间亲密度对应数值增加越大，将经过调整后的中间亲密度作为用户和会话对象的目标亲密度。
本发明实施例的技术方案，通过解密即时通讯备份数据获取即时通讯会话关系表和即时通讯会话数据，根据会话数据的存储位置提取即时通讯会话数据中对应位置的内容作为业务数据，将已删除会话数据进行恢复，合并入业务数据，通过对业务数据文本信息和属性信息的分析共同确定用户和会话对象的亲密度；将恢复的已删除数据添加进业务数据，使得亲密度计算数据更加准确，避免数据分析不完整，对业务数据的文本信息和属性信息的共同分析，使得亲密度计算过程更加准确，使得结果贴近实际，提高了亲密度计算的实用性。
在上述实施例的基础上，所述基于各所述会话属性信息调整用户到相应会话对象的中间亲密度，获得用户到相应会话对象的目标亲密度，包括：
针对每个会话对象，从用户到所述会话对象的会话属性信息中获取会话总天数以及会话总条数和各会话天的会话频率；
确定所述会话总天数在预设数值调整表中对应的第一调整值；
基于所述会话总条数，确定第二调整值；
基于所述各会话天的会话频率，确定第三调整值；
基于所述第一调整值、第二调整值以及第三调整值，调整用户到所述会话对象的中间亲密度，将调整后的中间亲密度确定为用户到所述会话对象的目标亲密度。
需要说明的是，会话总天数可以是用户和会话对象进行会话聊天的总天数，会话总条数可以是用户和会话对象进行会话累计的总条数，各会话天的会话频率可以是一天内用户和会话对象进行会话聊天的条数；预设数值调整表可以是会话总天数和第一调整值的对应表，预设数值调整表中的会话总天数和第一调整值的对应关系可以包括正相关或负相关，会话总天数越多则第一调整值越大或会话总天数越多则第一调整值越小，例如会话总天数为20天，则第一调整值可以对应为30，可以理解的是，预设数值调整表中还可以包括会话总条数和第二调整值的对应关系和各会话天的会话频率和第三调整的对应关系，会话总条数和第二调整值的对应关系、各会话天的会话频率和第三调整的对应关系也可以通过查询预设数值调整表获取。
在一些实施例中，可以针对会话对象，获取其会话属性，根据会话时间和会话日期，分别获取其中会话总天数以及会话总条数和各会话天的会话频率等信息，可以在预设数值调整表中根据在会话总天数与第一调整值的对应关系、会话总条数和第二调整值的对应关系和各会话天的会话频率和第三调整的对应关系，分别确定第一调整值、第二调整值和第三调整值，然后使用第一调整值、第二调整值和第三调整值在会话对象对应中间亲密度的基础上进行调整，调整后的中间亲密度即为用户和会话队形的目标亲密度；例如，中间其密度为20，第一调整值为10，第二调整值为-10，第三调整值为5，则最终调整值为20+10-10+5＝25。
在上述实施例的基础上，所述从即时通讯备份数据中恢复已删除会话数据，包括：
获取所述即时通讯备份数据存储的即时通讯会话关系表；
获取所述即时通讯会话关系表中至少一条已删除会话数据的存储位置，并获取所述已删除会话数据对应的存储格式；
按照所述存储格式在所述存储位置读取目标数据，将所述目标数据作为已删除会话数据。
在一些实施例中，即时通讯会话关系表可以包括已删除会话数据的存储格式和存储位置，例如微信中的FTS5IndexMicroMsg.db文件。
在一些实施例中，可以获取解密后的通讯备份数据，提取其中的即时通讯会话关系表，针对每条已删除会话获取其对应的存储位置信息和存储格式信息，然后根据已删除数据的存储位置，按照存储格式的数据结构大小获取数据，将获取到的数据作为目标数据，也就是恢复的已删除的会话数据。
实施例三
图3是本发明实施例三提供的一种亲密度确定装置的结构示意图；本发明实施例所提供的亲密度确定装置可执行本申请任意实施例所提供的亲密度确定方法，具备执行方法相应的功能模块和有益效果。参见图3，本实施例提供的亲密度确定装置包括：业务数据提取模块301、文本信息获取模块302和亲密度确定模块303。
业务数据提取模块，被设置为从预存的即时通讯备份数据中提取业务数据。
文本信息获取模块，被设置为获取所述业务数据中包含的用户与至少一个会话对象的文本信息。
亲密度确定模块，被设置为根据各所述文本信息，确定用户到对应各所述文本信息会话对象的亲密度。
本发明实施例的技术方案，通过业务获取模块从预存的即时通讯备份数据中提取业务数据；文本信息获取模块获取所述业务数据中包含的用户与至少一个会话对象的文本信息；亲密度确定模块根据各所述文本信息，确定用户到对应各所述文本信息会话对象的亲密度；通过对用户会话文本信息的分析，保证了数据的真实性，提高了亲密度计算结果的准确性。
实施例四
图4是本发明实施例四提供的一种设备的结构示意图，如图4所示，该设备包括处理器70、存储器71、输入装置72和输出装置73；设备中处理器70的数量可以是一个或多个，图4中以一个处理器70为例；设备中的处理器70、存储器71、输入装置72和输出装置73可以通过总线或其他方式连接，图4中以通过总线连接为例。
存储器71作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序以及模块，如本发明实施例中的亲密度确定方法对应的程序模块(例如，亲密度确定装置中业务数据提取模块301、文本信息获取模块302和亲密度确定模块303)。处理器70通过运行存储在存储器71中的软件程序、指令以及模块，从而执行设备的各种功能应用以及数据处理，即实现上述的亲密度确定方法。
存储器71可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端的使用所创建的数据等。此外，存储器71可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中，存储器71可包括相对于处理器70远程设置的存储器，这些远程存储器可以通过网络连接至设备/终端/服务器。上述网络的实例可包括互联网、企业内部网、局域网、移动通信网及其组合。
输入装置72可用于接收输入的数字或字符信息，以及产生与设备/终端/服务器的用户设置以及功能控制有关的键信号输入。输出装置73可包括显示屏等显示设备。
实施例五
本发明实施例五还提供一种包含计算机可执行指令的存储介质，所述计算 机可执行指令在由计算机处理器执行时用于执行一种亲密度确定方法，该方法包括：
从预存的即时通讯备份数据中提取业务数据；
获取所述业务数据中包含的用户与至少一个会话对象的文本信息；
根据各所述文本信息，确定用户到对应各所述文本信息会话对象的亲密度。
当然,本发明实施例所提供的一种包含计算机可执行指令的存储介质,其计算机可执行指令，还可以执行本申请任意实施例所提供的亲密度确定方法中的相关操作。
通过以上关于实施方式的描述，所属领域的技术人员可以清楚地了解到，本申请可借助软件及必需的通用硬件来实现，当然也可以通过硬件实现，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对相关技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如计算机的软盘、只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、闪存(FLASH)、硬盘或光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述的方法。
值得注意的是，上述亲密度确定装置的实施例中，所包括的各个单元和模块只是按照功能逻辑进行划分的，但并不局限于上述的划分，只要能够实现相应的功能即可；另外，各功能单元的名称也只是为了便于相互区分，并不用于限制本申请的保护范围。

Claims (10)

  1. 一种亲密度确定方法，包括：
    从预存的即时通讯备份数据中提取业务数据；
    获取所述业务数据中包含的用户与至少一个会话对象的文本信息；
    根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度。
  2. 根据权利要求1所述的方法，其中，所述从预设的即时通讯备份数据中提取业务数据，包括：
    基于给定的加密密钥解密存储在用户智能终端中的即时通讯备份数据，获取解密后的即时通讯会话关系表和即时通讯会话数据；
    获取即时通讯会话关系表中记录的至少一条单端到单端的会话数据存储位置；
    基于各所述会话数据存储位置，从所述即时通讯会话数据中提取用户会话数据作为业务数据。
  3. 根据权利要求1所述的方法，其中，所述根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度，包括：
    根据每个所述文本信息，确定用户到相应会话对象的会话属性信息；
    分词处理每个所述文本信息，获取每个所述文本信息对应的关键词集合；
    确定每个所述关键词集合中与预置关键词库中预置关键词相匹配的关键词个数；
    将每个所述文本信息对应的关键词个数确定为用户到相应会话对象的中间亲密度；
    基于每个所述会话属性信息调整用户到相应会话对象的中间亲密度，获得用户到相应会话对象的目标亲密度。
  4. 根据权利要求3所述的方法，其中，所述基于每个所述会话属性信息调整用户到相应会话对象的中间亲密度，获得用户到相应会话对象的目标亲密度，包括：
    针对每个会话对象，从用户到所述会话对象的会话属性信息中获取会话总天数以及会话总条数和每个会话天的会话频率；
    确定所述会话总天数在预设数值调整表中对应的第一调整值；
    基于所述会话总条数，确定第二调整值；
    基于所述每个会话天的会话频率，确定第三调整值；
    基于所述第一调整值、第二调整值以及第三调整值，调整用户到所述会话对象的中间亲密度，将调整后的中间亲密度确定为用户到所述会话对象的目标亲密度。
  5. 根据权利要求1所述的方法，所述方法还包括：
    从即时通讯备份数据中恢复已删除会话数据，并将所述已删除会话数据中的已删除业务数据并入所述业务数据。
  6. 根据权利要求5所述的方法，其中，所述从即时通讯备份数据中恢复已删除会话数据，包括：
    获取所述即时通讯备份数据存储的即时通讯会话关系表；
    获取所述即时通讯会话关系表中至少一条已删除会话数据的存储位置，并获取所述已删除会话数据对应的存储格式；
    按照所述存储格式在所述存储位置读取目标数据，将所述目标数据作为已删除会话数据。
  7. 一种亲密度确定装置，包括：
    业务数据提取模块，被设置为从预存的即时通讯备份数据中提取业务数据；
    文本信息获取模块，被设置为获取所述业务数据中包含的用户与至少一个会话对象的文本信息；
    亲密度确定模块，被设置为根据每个所述文本信息，确定用户到对应每个所述文本信息会话对象的亲密度。
  8. 根据权利要求7所述的装置，其中，所述业务数据提取模块包括：
    数据解密单元，被设置为基于给定的加密密钥解密存储在用户智能终端中的即时通讯备份数据，获取解密后的即时通讯会话关系表和即时通讯会话数据；
    存储位置获取单元，被设置为获取即时通讯会话关系表中记录的至少一条单端到单端的会话数据存储位置；
    业务数据提取单元，被设置为基于每个所述会话数据存储位置，从所述即时通讯会话数据中提取用户会话数据作为业务数据。
  9. 一种设备，所述设备包括：
    一个或多个处理器；
    存储器，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现如权利要求1-6中任一所述的亲密度确定方法。
  10. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求1-6任一所述的亲密度确定方法。
PCT/CN2019/118930 2018-12-28 2019-11-15 亲密度计算方法、装置、设备和介质 WO2020134685A1 (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113840392A (zh) * 2021-09-17 2021-12-24 杭州云深科技有限公司 用户亲密度的确定方法、装置、计算机设备及存储介质

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109450776A (zh) * 2018-12-28 2019-03-08 苏州龙信信息科技有限公司 亲密度计算方法、装置、设备和介质
CN112653616B (zh) * 2020-12-30 2023-04-28 深圳市镜玩科技有限公司 白名单处理方法、相关装置、设备及介质
CN113407702B (zh) * 2021-07-09 2024-02-27 上海明略人工智能(集团)有限公司 员工合作关系强度量化方法、系统、计算机和存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090083299A1 (en) * 2007-09-21 2009-03-26 Po-Chun Chen Method and apparatus for managing a contact list
CN102236547A (zh) * 2010-05-06 2011-11-09 蒋斌 一种在聊天工具中对聊天朋友自动归类的控制方法及装置
CN106874778A (zh) * 2017-02-24 2017-06-20 陈晶 基于Android系统的智能终端文件获取以及数据恢复系统及方法
CN109450776A (zh) * 2018-12-28 2019-03-08 苏州龙信信息科技有限公司 亲密度计算方法、装置、设备和介质

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101272355B (zh) * 2008-05-08 2011-05-18 腾讯科技（深圳）有限公司 即时通信工具中主题讨论内容的管理及发布方法及装置
CN102695121A (zh) * 2011-03-25 2012-09-26 北京千橡网景科技发展有限公司 向社交网络中的用户推送好友信息的方法和系统
US9077749B2 (en) * 2012-01-31 2015-07-07 International Business Machines Corporation Identity verification for at least one party to a text-based communication
CN105337847A (zh) * 2015-11-17 2016-02-17 小米科技有限责任公司 即时通讯消息处理方法、装置和设备

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090083299A1 (en) * 2007-09-21 2009-03-26 Po-Chun Chen Method and apparatus for managing a contact list
CN102236547A (zh) * 2010-05-06 2011-11-09 蒋斌 一种在聊天工具中对聊天朋友自动归类的控制方法及装置
CN106874778A (zh) * 2017-02-24 2017-06-20 陈晶 基于Android系统的智能终端文件获取以及数据恢复系统及方法
CN109450776A (zh) * 2018-12-28 2019-03-08 苏州龙信信息科技有限公司 亲密度计算方法、装置、设备和介质

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113840392A (zh) * 2021-09-17 2021-12-24 杭州云深科技有限公司 用户亲密度的确定方法、装置、计算机设备及存储介质
CN113840392B (zh) * 2021-09-17 2023-09-22 杭州云深科技有限公司 用户亲密度的确定方法、装置、计算机设备及存储介质

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