WO2018137170A1

WO2018137170A1 - User information recording method and apparatus, and electronic device

Info

Publication number: WO2018137170A1
Application number: PCT/CN2017/072569
Authority: WO
Inventors: 骆磊
Original assignee: 深圳前海达闼云端智能科技有限公司
Priority date: 2017-01-25
Filing date: 2017-01-25
Publication date: 2018-08-02
Also published as: CN107003930B; CN107003930A

Abstract

A user information recording method and apparatus, and an electronic device. The method comprises: collecting information about the user (31); analyzing the information to determine the category of the information (32); recording, according to the determined category of the information, the information in a first user information set corresponding to the category of the information (33); and when the recorded information conflicts with at least one piece of user information in the first user information set, recording the conflicting information in a second user information set (34). By means of the user information recording method and apparatus and the electronic device, different categories of user information can be recorded, and user information having conflicting records can be processed, thereby effectively improving the accuracy of user information recording.

Description

User information recording method, device and electronic device

Technical field

The present application relates to the field of data collection technologies, and in particular, to a user information recording method, apparatus, and electronic device.

Background technique

User information collection and user behavior analysis has become a hot issue for everyone. Correctly collecting user information and using this user information reasonably can accurately and effectively analyze user behavior, bringing a qualitative leap to user experience. Therefore, effective and accurate collection of user information is of great significance.

However, current user information collection and user behavior analysis are in their infancy, and there is no suitable way to accurately record more user information.

Summary of the invention

The embodiment of the present application mainly solves the problem that the user information record is not accurate enough.

In order to solve the above technical problem, a technical solution adopted by the embodiment of the present application is: providing a user information recording method, the method comprising: collecting information of the user; analyzing the information, determining a category of the information; The category of the information is recorded in the first user information set corresponding to the category of the information, and when the recorded information conflicts with at least one user information in the first user information set, The conflicting information is recorded into a second set of user information.

In order to solve the above technical problem, another technical solution adopted by the embodiment of the present application is: providing a user information recording device, the device comprising: an acquisition module, configured to collect information of the user; and a first determining module, configured to analyze Determining, by the information, a category of the information; the first recording module, configured to record the information into a first user information set corresponding to a category of the information according to the determined category of the information; And a recording module, configured to record the conflicting information into the second user information set when the recorded information collides with the at least one user information in the first user information set.

In order to solve the above technical problem, another technical solution adopted by the embodiment of the present application is to provide an electronic device, where the electronic device includes: at least one processor; and a memory communicably connected to the at least one processor; The memory is stored to be An instruction program executed by one processor, the instruction program being executed by the at least one processor to cause the at least one processor to perform the method as described above.

In order to solve the above technical problem, another technical solution adopted by the embodiment of the present application is to provide a computer program product, the computer program product comprising: a non-volatile computer readable storage medium and embedded in the nonvolatile Computer program instructions of a computer readable storage medium; the computer program instructions comprising instructions to cause a processor to perform the method as described above.

The method and device for recording user information provided by the embodiment of the present application, the collected user information is correspondingly recorded according to the information category, and respectively stored in the first user information set corresponding to the category of the information, and when recorded When the information collides with the information recorded in the first user information set, it is determined that the information is information that needs further confirmation, and the information is recorded into the second user information set. This embodiment enables classification recording of user information and accurate recording of user information.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a schematic diagram of an operating environment of a user information recording method provided by an embodiment of the present application;

2 is a schematic flowchart of a method for recording user information provided by an embodiment of the present application;

3 is a schematic flowchart of a method for recording user information according to another embodiment of the present application;

FIG. 4 is a schematic flowchart of a method for recording the information into a first user information set corresponding to a category of the information according to the determined category of the information according to another embodiment of the present disclosure;

FIG. 5 is a schematic flowchart of a method for recording the information into a first user information set corresponding to a category of the information according to the determined category of the information according to another embodiment of the present application;

FIG. 6 is a schematic flowchart of a method for recording the information into a first user information set corresponding to a category of the information according to the determined category of the information according to an embodiment of the present disclosure;

7 is a schematic structural diagram of a user information recording apparatus according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a user information recording apparatus according to another embodiment of the present application; FIG.

FIG. 9 is a schematic structural diagram of a user information recording apparatus according to still another embodiment of the present application;

FIG. 10 is a schematic structural diagram of hardware of an electronic device according to an embodiment of the present disclosure.

detailed description

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of an operating environment of a user information recording method according to an embodiment of the present disclosure. As shown in FIG. 1 , the application environment includes: a user 10 and a smart terminal 20 .

User 10 may be any group having any number of similar or similar operational behaviors, such as a network user community, a mobile phone user community, a library user community, etc., and user 10 may also be a separate individual. Different users 10 have different personalization requirements, usage habits, usage requirements, etc., so each user has their own specific user data.

The user 10 can interact with the smart terminal 20 by any suitable type, one or more user interaction devices (such as a mouse, a keyboard, a remote controller, a touch screen, a somatosensory camera, an audio capture device, etc.), input commands or control the smart terminal. 20 performs one or more operations, and the smart terminal 20 performs information collection on the user 10 during the interaction between the user 10 and the smart terminal 20. This information collection is a dynamic and continuous process that enables the smart terminal 20 to continuously enrich the information of the user 10.

The smart terminal 20 can be any suitable type of electronic device that has certain logical computing capabilities and provides one or more functions that can satisfy the user's intention. For example, robots, PDAs, personal computers, tablets, smart phones, wearable smart devices, and the like. The smart terminal 20 also includes any suitable type of storage medium for storing data, such as a magnetic disk, a compact disc (CD-ROM), a read only memory or a random access memory. The smart terminal 20 may include one or more logical computing modules that perform any suitable type of function or operation in parallel, such as viewing a database, editing a chart, etc., in a single thread or multiple threads. The logic operation module can be any suitable type of electronic circuit or chip-type electronic device capable of performing logical operation operations, such as a single core processor, a multi-core processor, a graphics processing unit (GPU).

The smart terminal 20 can also obtain the information of the user 10 through the image collection device or the sound collection device that is included in the smart terminal 20, and the process of obtaining the information is also a dynamic and continuous process, so that the smart terminal 20 can continuously enrich and improve the information of the user 10. .

It should be noted that the user information recording method provided by the embodiment of the present application may be further extended to other suitable application environments, and is not limited to the application environment shown in FIG. 1 . Although only three users 10 and two smart terminals 20 are shown in FIG. 1, those skilled in the art can understand that in an actual application process, the application environment may further include more or fewer users and smart terminals. .

During the human-computer interaction process or during the user behavior recording process, the smart terminal 20 records the information of the user 10 according to a preset method, and dynamically maintains a set of information specific to a certain user, thereby being in subsequent scenarios. When the user information needs to be used, the corresponding information can be obtained from the already recorded user information set to perform pre-judgment or pre-filling of the information, thereby providing a smarter and more intimate service for the user. Specifically, as shown in FIG. 2, the process of the user information recording method includes:

Step 31: Collect information about the user.

Step 32: Analyze the information to determine a category of the information;

Step 33: Record, according to the determined category of the information, the first user information set corresponding to the category of the information;

Step 34: When the recorded information collides with at least one user information in the first user information set, record the conflicted information into the second user information set.

The user information recording method can be executed by the smart terminal described above, so that the information of the user can be collected by the smart terminal executing the method. The information includes information sent by the user or received information, which may also include all information directly or indirectly related to the user. For example, all information used to determine the identity of the user, all information used to represent the user's behavioral habits, all information used to represent the user's personal preferences, all information used to represent the user's personal relationships, and some Information or the like sent or received by the user in a specific scenario.

After collecting the information of the user, the information is stored in text form, and the acquired text information may be classified based on other artificial intelligence and computational linguistic methods such as semantic analysis. By extracting and semantically analyzing the text information, some certain information in the text information can be extracted, and the determined information can be further divided into more detailed categories, such as user identity information (such as name, origin, gender, age). , height, weight, facial features, ID number, address, etc.), user habits (such as getting up at 7 o'clock on weekdays, getting up at 8 o'clock on rest day, frequent bus rides, frequently connected WIFI, often eating in the same store Lunch, etc., user preference information (such as like climbing a mountain, like to drink a certain coffee, like to watch martial arts novels, like to play certain games, etc.), and so on.

After determining the category of the information, the information is separately stored in the first user information set corresponding to the information category according to the category of the information. The first user information set is a structure for storing data pre-established according to the determined information category, which can form the same type of data into a data set, the first user information set includes multiple, each first user information The collection corresponds to one type of information. After determining the information category, the category of the information may be matched with the category name of the first user information set. If the matching is consistent, the information is recorded into the first user information set; or implemented by other means. User information is recorded according to the category of the information.

In addition, a second user information set is also established, and the second user information set is also a structure for storing data, which is different from the first user information set in that the second user information set is mainly used to store the user's uncertainty. Information, when stored, does not need to distinguish the category of information. The uncertainty information includes information that is inconsistent or conflicting with the determined information. When at least one piece of user information in the first user information set corresponding to the category of the information conflicts with the recorded information, the information is considered to be indeterminate user information, and the recorded information is stored in the second The user information set is used to further determine the determination result of the user information by requesting the user or the like within a predetermined time.

In some embodiments, the first set of user information may be a structure, and a structure is separately set for each category of information, and user information is separately stored by different types of structures. The second set of user information may also be a structure through which some uncertain information of the user is recorded. By recording the user information through the structure, the characteristics of the structure encapsulation can be utilized to realize the reuse of the data stored in each structure, and the data in the structure can be continuously updated dynamically to record more user information.

The embodiment of the present application provides a user information recording method, which records user information into a first user information set according to a category of user information, and when the user information is recorded, the information and the first user information set are collected. When there is a conflict between the recorded user information, the conflicted user information is recorded into the second user information set. Different from the related art, the embodiment can process the conflicting user information, and improve the accuracy of the user information record. In addition, recording user information according to the information category can make the recorded user information more specific and convenient for subsequent user behavior analysis.

As shown in FIG. 3, another embodiment of the present application provides a user information recording method, which is different from FIG. 2 mainly in that the method further includes:

Step 35: Set an emergency coefficient of the information in the second user information set.

Step 36: Determine a determination result of the information according to the emergency coefficient;

Step 37: Record the determination result of the information into the first user information set corresponding to the category according to the category of the information.

In this embodiment, when each of the indeterminate user information is added to the second user information set, an emergency coefficient is set for the uncertain user information, and the emergency coefficient is used to indicate that the uncertain user information needs to be An urgency level that is accurately confirmed, for example, an emergency factor of 1, indicates that the urgency is the highest and needs to be confirmed immediately; an emergency factor of 2 indicates that the urgency is medium and can be confirmed within a preset time; the emergency factor is 3. , indicating that the urgency is low and can be confirmed after a longer period of time. The urgency level and the corresponding emergency coefficient may be set in advance, and the higher the coefficient, the more urgent, or the lower the coefficient, the more urgent, which is not limited herein.

In addition, after the emergency coefficient is clear, determining the determination result of the information according to the emergency coefficient specifically includes: directly confirming the information to the user by using a voice inquiry or a message transmission, or analyzing the user behavior in the next preset time period. To confirm further, or when the uncertain information appears again in a certain scene, then directly or indirectly confirm with the user, and so on.

After obtaining the determination result of the indeterminate user information, the determination result is stored in the first user information set of the category corresponding to the user information according to the category of the user information. In addition, after obtaining the determination result of the user information, the weight of the information corresponding to the determination result in the first user information set may be updated.

In the embodiment of the present application, the user information is respectively recorded into the first user information set according to the category of the user information, and in the process of recording the user information, when the information conflicts with the recorded user information in the first user information set And recording the conflicting user information into the second user information set, and reconfirming the user uncertainty information in the second user information set, and recording the determined result to the category corresponding to the user information. The embodiment of the present embodiment can accurately record user information and process conflicting user information, and the user information is continuously improved by using such an implementation manner, so that when the user information needs to be used in subsequent scenarios, the first user information set can be obtained. Obtain the corresponding user information for pre-judgment or pre-filling the information to provide users with more intimate services.

In some embodiments, as shown in FIG. 4, when the category of the information is a determining class, the step 33 in the foregoing embodiment specifically includes:

3311. Determine whether an item corresponding to the information exists in the first user information set corresponding to the determining class.

3312. If the information pair does not exist in the first user information set corresponding to the determining class, The project, the project is created in the first user information set corresponding to the determining class, and the information is stored to the project as the content of the project;

3313. If an item corresponding to the information exists in the first user information set corresponding to the determining class, determine whether the content of the item matches the information;

3314. If the content of the item does not match the information, it is confirmed that there is a conflict of user information.

When the collected user information is information of a certain class, the embodiment provides a specific implementation manner of recording the information in the first user information set. For example, the user information is recorded in the structure, and the form of the user information recorded in the first user information set corresponding to the determining class is:

In the above structure, the user information corresponding to the determination class includes: an item and a content. The project includes: name, date of birth, ID number, home address, etc., each item has a corresponding content. When the item corresponding to the information is not found in the structure, it indicates that the item corresponding to the information does not exist in the structure corresponding to the determining class, and at this time, the information corresponding to the information is established in the structure. Project, and record the specific content of the information under the established project, for example, add "hometown: Shanghai" in the structure.

When the item corresponding to the information is one of the items of the user information recorded in the structure, the item corresponding to the information exists in the structure corresponding to the determining class, and at this time, the information is further determined. Whether the content matches the content recorded in the structure, for example, the content under the name item in the structure is "Zhang San", and the content of the information is "Li Si", indicating the content of the item in the structure The content of the information does not match. At this time, it is confirmed that there is a conflict of user information, that is, the user information that has been recorded is inconsistent with the currently obtained user information. Here, the item "name" needs to be further determined. Therefore, the information can be stored in the second user information set described in the above embodiment, and the name of the user is further confirmed in the second user information set. . The process of further confirmation can be referred to The description in the above embodiments will not be repeated here. In addition, if the content of the item in the structure matches the content of the information, it indicates that the information has been accurately recorded in the structure, and no processing is performed at this time.

In some embodiments, as shown in FIG. 5, when the category of the information is a custom class, the step 33 in the foregoing embodiment specifically includes:

3321. Determine whether a habit corresponding to the information exists in the first user information set corresponding to the custom class;

3322. If the habit corresponding to the information does not exist in the first user information set corresponding to the custom class, create a habit corresponding to the information in the first user information set corresponding to the habit class, and store the Information, the information as an attribute of the habit, and recording the weight corresponding to the habit;

3323. If there is a habit corresponding to the information in the first user information set corresponding to the custom class, determine whether the attribute of the habit matches the information;

3324. If the attribute of the habit does not match the information, establish a new habit corresponding to the information in the first user information set corresponding to the habit class, and store the information, where the information is The attributes of the new habit, and record the weights corresponding to the new habits;

3325. If the attribute of the habit matches the information, update the weight corresponding to the habit.

When the collected user information is information of a custom class, the embodiment provides a specific implementation manner of recording the information in the first user information set. For example, the user information is recorded in the structure, and the form of the user information recorded in the structure corresponding to the custom class is:

In the above structure, the user information corresponding to the custom class includes: the name, the attribute, and the number of times the user is accustomed to, and the name that the user is accustomed to indicates the habit (such as morning running), and the attribute is used to further define the habit (for example, The morning run starts at 7 o'clock. The number is used to measure the weight of the habit. It records the number of times the habit has been executed. The higher the number, the greater the weight, indicating that the habit persists for the longest time. Changing habits, on the contrary, if The smaller the weight, the easier it is to change.

In this embodiment, the information is first matched with the name of the user in the structure, and if the name of the user corresponding to the information is found in the structure, the attribute corresponding to the habit is further determined. Whether the information matches the information, if the attribute corresponding to the habit does not match the information, indicating that the information is a new habit, and the habit corresponding to the information is established in the structure, including its attribute, and the number of records (for example) The number of times is 1). If the attribute corresponding to the habit matches the information, it indicates that there is already a completely consistent habit in the above structure, and the number of times of the habit is directly updated, for example, the number is increased by one. In addition, if the custom name corresponding to the information cannot be found in the above structure, it is a new habit that the habit does not exist. At this time, the new habit is established in the structure, and the attributes and times are recorded.

For example, the content of the message is "Set an alarm clock at 7:00 on Saturday morning". According to related techniques such as semantic analysis, the habit is "set an alarm clock on Saturday morning". The attribute of the habit is "7 o'clock in the morning". In the above structure, there is already a habit of "setting an alarm clock at 7:00 on Saturday morning", and directly updating the number of times of the habit (for example, adding 1); if "the alarm clock is set on Saturday morning" already exists in the above structure Habit, but the attribute is "8 o'clock in the morning", you need to establish the habit of the information, and record the corresponding number of times (weight); if there is no "schedule at 7 o'clock on Saturday morning, set the alarm clock" or "week" in the above structure The habit of setting an alarm clock six in the morning directly establishes a new habit corresponding to the information and records its attributes and times (weights).

In this embodiment, the user's habit information can be obtained through user behavior analysis, or can be obtained by other means.

In this embodiment, an information recording method is provided for the user's habitual information, which can record the user's habits in more detail, and more specifically distinguish the user habits, and can analyze the habits of the recordings. The most common habits of users, so that when users are in the same or similar scenarios again, they can provide users with smarter and more intimate services.

In some embodiments, as shown in FIG. 6, when the category of the information is a preference class, step 33 in the foregoing embodiment specifically includes:

3331. Determine whether a preference corresponding to the information exists in the first user information set corresponding to the preference class.

3332. If there is a preference corresponding to the information in the first user information set corresponding to the preference class, determining whether the opposite preference corresponding to the information exists in the first user information set corresponding to the preference class;

3333. If the opposite preference exists in the first user information set corresponding to the preference class, update a weight of the preference corresponding to the information, and calculate a difference between the weight of the preference and the weight of the opposite preference, Recording the information according to the size of the difference;

3334. If the opposite preference does not exist in the first user information set corresponding to the preference class, update the weight of the preference corresponding to the information;

3335. If there is no preference corresponding to the information in the first user information set corresponding to the preference class, determine whether the opposite preference corresponding to the information exists in the first user information set corresponding to the preference class;

3336. If the opposite preference exists in the first user information set corresponding to the preference class, establishing a preference corresponding to the information in the first user information set corresponding to the preference class, and recording the weight of the preference And calculating a difference between the weight of the preference and the weight of the opposite preference, and recording the information according to the size of the difference;

3337. If the opposite preference does not exist in the first user information set corresponding to the preference class, establish a preference corresponding to the information in the first user information set corresponding to the preference class, and record the preference Weights.

When the collected user information is information of a preference class, the embodiment provides a specific implementation manner of recording the information in the first user information set. For example, the user information is recorded in the structure, and the form of the user information recorded in the structure corresponding to the preference class is:

The preference corresponding to the preference class defines a preference and a weight of the preference, the preference indicating a user's personal preference, the weight indicating the degree that the user likes the preference, and the higher the weight, the more the user likes the preference, and vice versa. So like it.

In this embodiment, searching for a preference corresponding to the information in the structure corresponding to the preference class, and further searching for a reverse preference corresponding to the information in the structure corresponding to the preference class (for example, the information corresponding to the The preference is "like to drink milk", the opposite preference for this information is "do not like to drink milk").

If there is a preference corresponding to the information in the structure corresponding to the preference class and there is no opposite preference, the weight corresponding to the preference is updated (such as the weight plus 1).

If there is a preference corresponding to the information in the structure corresponding to the preference class and there is an opposite preference, then there is a situation where the information is contradictory. Here, the weight of the preference corresponding to the information is first updated (for example, the weight is increased by 1), and then calculated. The difference between the weight of the preference corresponding to the information and the weight of the opposite preference corresponding to the information, and further confirming the user's preference information according to the difference and recording.

If the preference corresponding to the information does not exist in the structure corresponding to the preference class and there is no opposite preference, the information is a new preference of the user. At this time, the new preference is established in the structure corresponding to the preference class, and the record is recorded. The weight of the new preference, the weight value of the new preference may be set according to personal preference, or may be set according to a system preset rule.

If there is no preference corresponding to the information in the structure corresponding to the preference class, but there is a reverse preference corresponding to the information, it is still confirmed that the information contradiction occurs. Here, the preference corresponding to the information is first established, and the record is recorded. The weight of the preference corresponding to the information (such as the weight of the weight is 1), and then calculating the difference between the weight of the preference corresponding to the information and the weight of the opposite preference corresponding to the information, further confirming the user's preference information according to the difference and recording .

In this embodiment, the recording the information according to the size of the difference includes:

When the difference is within a predetermined threshold range, it is confirmed that there is a user information conflict. At this time, the information may be recorded in the second user information set or the structure, and the user information is further determined in the second user information set or structure. For the specific process of determining the user information, refer to the foregoing embodiment. The description is not repeated here. The difference is within the preset threshold range. For example, when the difference between the weight of the preference corresponding to the information and the weight of the opposite preference corresponding to the information is less than or equal to the set threshold, the difference is considered to be within a preset threshold range. In this case, the user information needs to be further confirmed. After determining the determination result of the user information in the manner described in the foregoing embodiment, the weight of the determination result may be updated, for example, the weight of the determination result is set to the information of the determination result. The weight of the opposite preference is the sum of the set thresholds. The preset threshold range and the set threshold may be set according to user preferences or automatically set by the system of the machine.

When the difference is not within the predetermined threshold range, it is determined that the preference with the weight value is a correct preference of the user. For example, when the difference between the weight of the preference corresponding to the information and the weight of the opposite preference corresponding to the information is greater than a set threshold, the preference with the large weight value is used as the correct preference of the user.

In this embodiment, the user's preference information may be obtained through a user's voice interaction with the machine, or obtained by other means.

In this embodiment, an information recording method is provided for the user's preference class information, and the method The method can adjust the contradictory information and correct the user's wrong preference, thereby ensuring that the recorded user information is more accurate, and when the user preference information needs to be used, the user can be more accurately provided with the service.

Please refer to FIG. 7. FIG. 7 is a schematic structural diagram of a user information recording apparatus according to an embodiment of the present application. As shown in FIG. 7, the device 40 includes an acquisition module 410, a first determination module 420, a first recording module 430, and a second recording module 440.

The collecting module 410 is configured to collect the information of the user; the first determining module 420 is configured to analyze the information, determine a category of the information, and the first recording module 430 is configured to: according to the determined information. a category, the information is recorded in the first user information set corresponding to the category of the information; the second recording module 440 is configured to: record the information and the at least one user information in the first user information set In case of conflict, the information of the conflict is recorded into the second set of user information.

It is to be noted that the information exchange, the execution process, and the like between the modules in the foregoing device are based on the same concept as the method embodiment of the present application. For details, refer to the description in the method embodiment of the present application. Narration.

The embodiment of the present application provides a user information recording device, which records user information into a first user information set according to a category of user information. In the process of recording user information, the information and the first user information set are collected. When there is a conflict between the recorded user information, the conflicted user information is recorded into the second user information set. Different from the related art, the embodiment can process the conflicting user information, and improve the accuracy of the user information record. In addition, recording user information according to the information category can make the recorded user information more specific and convenient for subsequent user behavior analysis.

As shown in FIG. 8 , another embodiment of the present application provides a user information recording apparatus. The main difference between the apparatus and FIG. 7 is that the apparatus further includes: a setting module 450, a second determining module 460, and a third record. Module 470.

The setting module 450 is configured to set an emergency coefficient of the information in the second user information set, and the second determining module 460 is configured to determine a determination result of the information according to the emergency coefficient; the third recording module 470 And for recording, according to the category of the information, the determination result of the information into the first user information set corresponding to the category.

In the embodiment of the present application, the user information is separately recorded according to the category of the user information. In the first user information set, in the process of recording user information, when the information conflicts with the recorded user information in the first user information set, the conflicting user information is recorded into the second user information set, and The user's uncertainty information is reconfirmed in the second user information set, and the determined result is recorded under the category corresponding to the user information. The embodiment of the present embodiment can accurately record user information and process conflicting user information, and the user information is continuously improved by using such an implementation manner, so that when the user information needs to be used in subsequent scenarios, the first user information set can be obtained. Obtain the corresponding user information for pre-judgment or pre-filling the information to provide users with more intimate services.

Please refer to FIG. 9. FIG. 9 is a schematic structural diagram of a user information recording apparatus according to another embodiment of the present application. As shown in FIG. 9, the device 50 includes an acquisition module 510, a first determination module 520, a first recording module 530, a second recording module 540, a setting module 550, a second determining module 560, and a third recording module 570.

The collecting module 510 is configured to collect the information of the user, and the first determining module 520 is configured to analyze the information to determine a category of the information, and the first recording module 530 is configured to: according to the determined information. a class, the information is recorded in the first user information set corresponding to the category of the information; the second recording module 540 is configured to: record the information and the at least one user information in the first user information set When the conflict occurs, the information of the conflict is recorded into the second set of user information; the setting module 550 is configured to set the emergency coefficient of the information in the second set of user information; and the second determining module 560 is configured to The emergency coefficient determines the determination result of the information; the third recording module 570 is configured to record the determination result of the information into the first user information set corresponding to the category according to the category of the information.

When the category of the information is the information of the determining class, the first recording module 530 includes: a first determining unit 5301, a first creating unit 5302, a second determining unit 5303, and a first confirming unit 5304. The first determining unit 5301 is configured to determine whether an item corresponding to the information exists in the first user information set corresponding to the determining class, and the first creating unit 5302 is configured to: if the first user information set corresponding to the determining class If the item corresponding to the information does not exist, the item is created in the first user information set corresponding to the determining class, and the information is stored to the item as the content of the item; the second determining The unit 5303 is configured to determine, if the item corresponding to the information exists in the first user information set corresponding to the determining class, whether the content of the item matches the information, and the first confirming unit 5304 is configured to If the content of the item does not match the information, it is confirmed that there is a user information conflict.

The first recording module 530 further includes: a third determining unit 5305, a second creating unit 5306, a fourth determining unit 5307, a third creating unit 5308, and the first update, when the type of the information is information of a custom class. Unit 5309. The third determining unit 5305 is configured to determine whether the first user information set corresponding to the custom class has a habit corresponding to the information, and the second creating unit 5306 is configured to: if the first user information set corresponding to the custom class If there is no habit corresponding to the information, the habit corresponding to the information is created in the first user information set corresponding to the habit class, and the information is stored, and the information is used as an attribute of the habit, and is recorded. Determining the weight of the habit; the fourth determining unit 5307 is configured to determine whether the attribute of the habit matches the information if a habit corresponding to the information exists in the first user information set corresponding to the habit class; The third creating unit 5308 is configured to: if the attribute of the habit does not match the information, establish a new habit corresponding to the information in the first user information set corresponding to the habit class, and store the information, The information is used as an attribute of the new habit, and the weight corresponding to the new habit is recorded; the first updating unit 5309 is configured to: if the attribute of the habit is related to the information Right, updating the weight corresponding to the habit.

The first recording module 530 further includes: a fifth determining unit 5310, a sixth determining unit 5311, a first recording unit 5312, a second updating unit 5313, and a seventh determining, when the information is of a preference type. The unit 5314, the second recording unit 5315, and the fourth creating unit 5316. a fifth determining unit 5310, configured to determine whether a preference corresponding to the information exists in the first user information set corresponding to the preference class, and a sixth determining unit 5311, configured to: if the first user information set corresponding to the preference class If there is a preference corresponding to the information, determining whether there is a reverse preference corresponding to the information in the first user information set corresponding to the preference class; the first recording unit 5312 is configured to: if the preference class corresponds to the first If the opposite preference exists in the user information set, updating the weight of the preference corresponding to the information, and calculating a difference between the weight of the preference and the weight of the opposite preference, and recording the information according to the size of the difference The second updating unit 5313 is configured to update the weight of the preference corresponding to the information if the opposite preference does not exist in the first user information set corresponding to the preference class. The seventh determining unit 5314 is configured to determine, if the preference corresponding to the information does not exist in the first user information set corresponding to the preference class, determine whether the information is corresponding to the first user information set corresponding to the preference class. The second recording unit 5315 is configured to: if the opposite preference exists in the first user information set corresponding to the preference class, establish the information corresponding to the first user information set corresponding to the preference class a preference, and recording the weight of the preference, and calculating a difference between the weight of the preference and the weight of the opposite preference, recording the information according to the size of the difference; the fourth creating unit 5316, if The preference class corresponds to The opposite preference is not present in the first user information set, and the preference corresponding to the information is established in the first user information set corresponding to the preference class, and the weight of the preference is recorded.

In some embodiments, the recording the information according to the size of the difference specifically includes: when the difference is within a predetermined threshold range, confirming that there is a user information conflict; when the difference is not in the predetermined When the threshold is within the range, the preference that the weight value is large is determined to be the correct preference of the user.

It should be noted that the content of the module, the information exchange between the units, the execution process, and the like are based on the same concept as the method embodiment of the present application. For details, refer to the description in the method embodiment of the present application. No longer.

The embodiment of the present application provides a user information recording apparatus, which collects information of a user and determines a category of the information, the category includes a determining class, a habit class, and a preference class, and then storing the user information to the information according to the category. In the first user information set corresponding to the category, when there is conflicting user information, the information is recorded into the second user information set, and the information in the second user information set is confirmed, and the confirmation result is confirmed. Recorded in the first user information set corresponding to the category of the information. This embodiment can accurately record user information, and provides a guarantee for the user to perform appropriate services.

Please refer to FIG. 10. FIG. 10 is a schematic diagram showing the hardware structure of an electronic device according to an embodiment of the present disclosure. The electronic device 60 can perform the user information recording method as described above, and can be any suitable smart terminal, such as an intelligent robot. Robot assistants, PDAs, personal computers, tablets, smartphones, wearable smart devices, etc.

Specifically, as shown in FIG. 10, the electronic device 60 includes: one or more processors 610 and a memory 620, and one processor 610 is taken as an example in FIG.

The processor 610 and the memory 620 may be connected by a bus or other means, and the connection by a bus is taken as an example in FIG.

The memory 620 is a non-volatile computer readable storage medium and can be used for storing a non-volatile software program, a non-volatile computer executable program, and a module, such as a program corresponding to the user information recording method in the embodiment of the present application. An instruction/module (for example, the acquisition module 410, the first determination module 420, the first recording module 430, and the second recording module 440 shown in FIG. 7). The processor 610 executes various functional applications of the server and data processing by executing non-volatile software programs, instructions, and modules stored in the memory 620, that is, implementing the above-described method embodiment user information recording method.

The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may be stored Data created according to the use of the user information recording device, and the like. Moreover, memory 620 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 620 can optionally include memory remotely located relative to processor 610, which can be connected to the user information recording device over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform a user information recording method in any of the above method embodiments.

The embodiment of the present application further provides a computer program product, including a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer performs the user information recording method in any of the above method embodiments, for example, performs the method steps 31 to 34 in FIG. 2 described above, the method steps 31 to 37 in FIG. 3, and the method step 3311 in FIG. Go to step 3315, method steps 3321 to 3325 in FIG. 5, and method steps 3331 to 3337 in FIG. 6, to implement modules 410-440 in FIG. 7, modules 410-470 in FIG. 8, and modules in FIG. 510-570, the function of units 5301-5316.

A person skilled in the art should further appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both, in order to clearly illustrate hardware and software. Interchangeability, the composition and steps of the various examples have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application. The computer software can be stored in a computer readable storage medium, which, when executed, can include the flow of an embodiment of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only storage memory, or a random storage memory.

The above is only the embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the invention and the drawings are directly or indirectly applied to other related technologies. The fields are all included in the scope of patent protection of the present invention.

Claims

A user information recording method, comprising:

Collecting information of the user;

Analyzing the information to determine a category of the information;

Recording, according to the determined category of the information, the first user information set corresponding to the category of the information;

When the recorded information collides with at least one piece of user information in the first set of user information, the conflicting information is recorded into the second set of user information.
The method of claim 1 further comprising:

Setting an emergency coefficient of the information in the second set of user information;

Determining a determination result of the information according to the emergency coefficient;

And determining, according to the category of the information, the determination result of the information into the first user information set corresponding to the category.
The method according to claim 1, wherein the category of the information is one of a determination class, a habit class, and a preference class.
The method according to any one of claims 1 to 3, wherein when the category of the information is a class,

And the recording, according to the determined category of the information, the first user information set corresponding to the category of the information includes:

Determining whether an item corresponding to the information exists in the first user information set corresponding to the determining class;

If the item corresponding to the information does not exist in the first user information set corresponding to the determining class, creating the item in the first user information set corresponding to the determining class, and storing the information to the item To serve as the content of the project;

If the item corresponding to the information exists in the first user information set corresponding to the determining class, determining whether the content of the item matches the information;

If the content of the item does not match the information, it is confirmed that there is a user information conflict.
The method according to any one of claims 1 to 3, wherein when the category of the information is a custom class,

And the recording, according to the determined category of the information, the first user information set corresponding to the category of the information includes:

Determining whether a habit corresponding to the information exists in the first user information set corresponding to the custom class;

If the habit corresponding to the information does not exist in the first user information set corresponding to the habit class, the habit corresponding to the information is created in the first user information set corresponding to the habit class, and the information is stored. The information is used as an attribute of the habit, and the weight corresponding to the habit is recorded;

If the habit corresponding to the information exists in the first user information set corresponding to the custom class, determining whether the attribute of the habit matches the information;

If the attribute of the habit does not match the information, establishing a new habit corresponding to the information in the first user information set corresponding to the habit class, and storing the information, the information as the new habit Attributes and record the weights corresponding to the new habits;

If the attribute of the habit matches the information, the weight corresponding to the habit is updated.
The method according to claim 1, wherein when the category of the information is a preference class,

And the recording, according to the determined category of the information, the first user information set corresponding to the category of the information includes:

Determining whether a preference corresponding to the information exists in the first user information set corresponding to the preference class;

If there is a preference corresponding to the information in the first user information set corresponding to the preference class, determining whether the opposite preference corresponding to the information exists in the first user information set corresponding to the preference class;

If the opposite preference exists in the first user information set corresponding to the preference class, updating a weight of the preference corresponding to the information, and calculating a difference between the weight of the preference and the weight of the opposite preference, according to Recording the information by the size of the difference;

If the opposite preference does not exist in the first user information set corresponding to the preference class, updating the weight of the preference corresponding to the information.
The method of claim 6 wherein the method further comprises:

If the preference corresponding to the information does not exist in the first user information set corresponding to the preference class, determining whether the opposite preference corresponding to the information exists in the first user information set corresponding to the preference class;

If the opposite preference exists in the first user information set corresponding to the preference class, establishing a preference corresponding to the information in the first user information set corresponding to the preference class, and recording the weight of the preference, and Calculating a difference between the weight of the preference and the weight of the opposite preference, and recording the information according to the size of the difference;

And if the opposite preference does not exist in the first user information set corresponding to the preference class, the preference corresponding to the information is established in the first user information set corresponding to the preference class, and the weight of the preference is recorded.
The method according to claim 6 or 7, wherein the recording the information according to the size of the difference comprises:

When the difference is within a predetermined threshold range, it is confirmed that there is a user information conflict; when the difference is not within the predetermined threshold range, the preference for determining that the weight value is large is the correct preference of the user.
A user information recording device, comprising:

An acquisition module, configured to collect information about the user;

a first determining module, configured to analyze the information, and determine a category of the information;

a first recording module, configured to record the information into a first user information set corresponding to a category of the information according to the determined category of the information;

And a second recording module, configured to record the conflicted information into the second user information set when the recorded information conflicts with the at least one user information in the first user information set.
The device according to claim 9, wherein the device further comprises:

a setting module, configured to set an emergency coefficient of the information in the second user information set;

a second determining module, configured to determine a determination result of the information according to the emergency coefficient;

And a third recording module, configured to record the determination result of the information into the first user information set corresponding to the category according to the category of the information.
The apparatus according to claim 9, wherein the category of the information is one of a determination class, a habit class, and a preference class.
The device according to any one of claims 9 to 11, wherein when the category of the information is a determining class, the first recording module comprises:

a first determining unit, configured to determine whether an item corresponding to the information exists in the first user information set corresponding to the determining class;

a first creating unit, configured to: if the item corresponding to the information does not exist in the first user information set corresponding to the determining class, create the item in the first user information set corresponding to the determining class, and store the item Said information to said item as content of said item;

a second determining unit, configured to determine, if the item corresponding to the information exists in the first user information set corresponding to the determining class, whether the content of the item matches the information;

The first confirming unit is configured to confirm that there is a user information conflict if the content of the item does not match the information.
The device according to any one of claims 9 to 11, wherein when the category of the information is a custom class, the first recording module comprises:

a third determining unit, configured to determine whether a habit corresponding to the information exists in the first user information set corresponding to the custom class;

a second creating unit, configured to: if the first user information set corresponding to the custom class does not exist a habit corresponding to the information, creating a habit corresponding to the information in the first user information set corresponding to the habit class, and storing the information, the information being the attribute of the habit, and recording the habit corresponding to the habit Weights;

a fourth determining unit, configured to determine whether the attribute of the habit matches the information if a habit corresponding to the information exists in the first user information set corresponding to the habit class;

a third creating unit, configured to: if the attribute of the habit does not match the information, establish a new habit corresponding to the information in the first user information set corresponding to the habit class, and store the information, where Declaring the information as an attribute of the new habit, and recording the weight corresponding to the new habit;

The first updating unit is configured to update the weight corresponding to the habit if the attribute of the habit matches the information.
The device according to claim 9, wherein when the category of the information is a preference class, the first recording module comprises:

a fifth determining unit, configured to determine whether a preference corresponding to the information exists in the first user information set corresponding to the preference class;

a sixth determining unit, configured to: if there is a preference corresponding to the information in the first user information set corresponding to the preference class, determine whether the information corresponding to the preference class corresponds to the opposite Preference

a first recording unit, configured to update a weight of the preference corresponding to the information if the opposite preference exists in the first user information set corresponding to the preference class, and calculate the weight of the preference and the opposite preference a difference of weights, the information is recorded according to the size of the difference;

And a second updating unit, configured to update a weight of the preference corresponding to the information if the opposite preference does not exist in the first user information set corresponding to the preference class.
The device according to claim 14, wherein the first recording module further comprises:

a seventh determining unit, configured to determine, if the first user information set corresponding to the preference class does not have a preference corresponding to the information, determining whether the information is corresponding to the first user information set corresponding to the preference class Opposite preference

a second recording unit, configured to: if the opposite preference exists in the first user information set corresponding to the preference class, establish a preference corresponding to the information in the first user information set corresponding to the preference class, and record Weighting the preference, and calculating a difference between the weight of the preference and the weight of the opposite preference, and recording the information according to the size of the difference;

a fourth creating unit, configured to establish a preference corresponding to the information in the first user information set corresponding to the preference class, if the opposite preference does not exist in the first user information set corresponding to the preference class, and The weight of the preference is recorded.
Device according to claim 14 or 15, wherein said difference is based on said difference The size of the record records the information specifically includes:

When the difference is within a predetermined threshold range, it is confirmed that there is a user information conflict; when the difference is not within the predetermined threshold range, the preference for determining that the weight value is large is the correct preference of the user.
An electronic device, comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores an instruction program executable by the at least one processor, the instruction program being executed by the at least one processor to cause the at least one processor to perform as claimed in any one of claims 1 to The method described.
A computer program product, comprising: a non-transitory computer readable storage medium; and computer program instructions embedded in the non-transitory computer readable storage medium; The instructions include instructions for causing a processor to perform the method of any of claims 1-8.