CN113505272B - Control method and device based on behavior habit, electronic equipment and storage medium - Google Patents
Control method and device based on behavior habit, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a control method and device based on behavior habits, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring interaction information between a target user and target equipment; obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user; determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit; and executing the control operation corresponding to the target behavior habit. The method and the device solve the problem of low time utilization efficiency when acquiring the corresponding living habit of the user in the related technology.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a behavior habit-based control method and apparatus, an electronic device, and a storage medium.
Background
With the arrival of the control age of the intelligent device and the rapid development of the big data analysis technology, through interaction, the life habit of the user can be known more deeply, so that products and systems of merchants are developed and optimized continuously to improve the experience quality of the user on the products, therefore, the acquired interaction data are required to be analyzed and processed to acquire the life habit of the user, and then the intelligent device is controlled to execute related control operation according to the life habit of the user.
In the related art, a behavior database is generally established, and then behavior data of a user are recorded in the database to determine some life habits of the current user, so that when the life habits of the user are obtained each time, all the behavior data recorded in the database need to be traversed, and then all the behavior data are analyzed to determine the life habits corresponding to the user, so that the time utilization efficiency is lower when the corresponding life habits of the user are obtained.
Therefore, the related art has a problem that the time utilization efficiency is low when the corresponding living habit of the user is acquired.
Disclosure of Invention
The application provides a control method and device based on behavior habits, electronic equipment and a storage medium, and aims to at least solve the problem that the time utilization efficiency is low when the corresponding life habits of users are acquired in the related technology.
According to an aspect of an embodiment of the present application, there is provided a behavior habit-based control method, including: acquiring interaction information between a target user and target equipment; obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user; determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing living habits of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit; and executing the control operation corresponding to the target behavior habit.
According to another aspect of the embodiment of the present application, there is also provided a behavior habit-based control device, which is characterized in that the device includes: the first acquisition unit is used for acquiring interaction information between the target user and the target equipment; a second obtaining unit, configured to obtain behavior data corresponding to the target user based on the interaction information, where the behavior data includes execution time of an interaction event of the target user; a selecting unit, configured to determine, according to execution time of the interaction event, a target behavior habit matched with the target user from a plurality of behavior habits, where the target behavior habit is used to characterize a living habit of the target user, and the plurality of behavior habits include at least two of a time behavior habit, an event behavior habit, and a common behavior habit; and the control unit is used for executing the control operation corresponding to the target behavior habit.
Optionally, the selecting unit includes: the ordering module is used for ordering all the interaction events according to the execution time to obtain an event sequence; and the selection module is used for selecting the target behavior habit corresponding to the target interaction event from a plurality of behavior habits according to the relation between the target interaction event and other interaction events in the event sequence.
Optionally, the selecting module includes: the acquisition subunit is used for acquiring a first interaction event corresponding to the execution time before the target interaction event according to the event sequence; the first setting subunit is configured to take the time behavior habit of the plurality of behavior habits as the target behavior habit corresponding to the target user when a difference between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is less than or equal to a first preset difference.
Optionally, the selecting module further includes: a first determining subunit, configured to determine, when a difference between the execution time corresponding to the target interaction event and the execution time corresponding to a first interaction event is greater than a first preset difference, a similarity between the target interaction event and the first interaction event, where the first interaction event is an interaction event corresponding to an execution time located before the target interaction event; and the second setting subunit is used for taking the event behavior habit as the target behavior habit corresponding to the target user under the condition that the similarity is determined to be larger than a first preset similarity threshold value.
Optionally, the selecting module further includes: a second determining subunit, configured to determine, when a difference between the execution time corresponding to the target interaction event and the execution time corresponding to a first interaction event is greater than a first preset difference, a similarity between the target interaction event and the first interaction event, where the first interaction event is an interaction event corresponding to an execution time located before the target interaction event; and the third setting subunit is used for taking the common behavior habit in the behavior habits as the target behavior habit corresponding to the target user under the condition that the similarity is smaller than or equal to a first preset similarity threshold value.
Optionally, the second acquisition unit includes: the grouping module is used for grouping the interaction information to obtain a plurality of data sets, wherein the similarity of the interaction information in each data set is larger than a second preset similarity threshold value, and the first target scheme is used for extracting keywords from the interaction information and clustering the extracted keywords; the determining module is used for determining that the behavior data exists in the interactive information when the frequency of occurrence repetition of the interactive information in the data group in the preset time is greater than or equal to a second preset value; and the analysis module is used for carrying out intention analysis on the interaction information in the data set by utilizing a second target scheme to obtain the behavior data.
Optionally, the control unit includes: the acquisition module is used for acquiring a target account number for interaction between the target user and the target device, wherein the target account number is used for indicating the uniqueness of the target user; the first sending module is used for sending resource information corresponding to the target interaction event to the target account when the current moment is the execution time under the condition that the target behavior habit is determined to be the time behavior habit; or (b)
And the second sending module is used for sequentially sending the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event to the target account under the condition that the target behavior habit is determined to be the event behavior habit.
According to still another aspect of the embodiments of the present application, there is provided an electronic device including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein the memory is used for storing a computer program; a processor for performing the method steps of any of the embodiments described above by running the computer program stored on the memory.
According to a further aspect of the embodiments of the present application there is also provided a computer readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the method steps of any of the embodiments described above when run.
In the embodiment of the application, the interactive information between the target user and the target equipment is acquired; obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user; determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit; and executing the control operation corresponding to the target behavior habit. According to the embodiment of the application, as the interactive information between the target user and the target equipment is acquired, and the target behavior habit of the target user is determined according to the execution time of the interactive event through the interactive event recorded in the interactive information, the living habit of the target user is further determined, and then the control operation corresponding to the target behavior habit is executed, the purpose of quickly acquiring the living habit of the target user can be realized, and the problem of low time utilization efficiency when the corresponding living habit of the user is acquired in the related technology is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a hardware environment of an alternative behavior habit based control method according to an embodiment of the invention;
FIG. 2 is a flow chart of an alternative behavior habit based control method according to an embodiment of the application;
FIG. 3 is an overall flow diagram of an alternative behavior habit based control method according to an embodiment of the application;
FIG. 4 is a block diagram of an alternative behavior habit based control device according to an embodiment of the application;
fig. 5 is a block diagram of an alternative electronic device in accordance with an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of the embodiment of the application, a control method based on behavior habit is provided. Alternatively, in the present embodiment, the above-described behavior habit-based control method may be applied to a hardware environment as shown in fig. 1. As shown in fig. 1, the terminal 102 may include a memory 104, a processor 106, and a display 108 (optional components). The terminal 102 may be communicatively coupled to a server 112 via a network 110, the server 112 being operable to provide services to the terminal or to clients installed on the terminal, and a database 114 may be provided on the server 112 or independent of the server 112 for providing data storage services to the server 112. In addition, a processing engine 116 may be run in the server 112, which processing engine 116 may be used to perform the steps performed by the server 112.
Alternatively, the terminal 102 may be, but is not limited to, a terminal capable of calculating data, such as a mobile terminal (e.g., a mobile phone, a tablet computer), a notebook computer, a PC (Personal Computer ) or the like, where the network may include, but is not limited to, a wireless network or a wired network. Wherein the wireless network comprises: bluetooth, WIFI (WIRELESS FIDELITY ) and other networks that enable wireless communications. The wired network may include, but is not limited to: wide area network, metropolitan area network, local area network. The server 112 may include, but is not limited to, any hardware device that can perform calculations.
In addition, in this embodiment, the control method based on behavior habit may be applied to, but not limited to, an independent processing device with a relatively high processing capability, without data interaction. For example, the processing device may be, but is not limited to, a more processing-capable terminal device, i.e., the individual operations of the behavior-habit based control method described above may be integrated in a single processing device. The above is merely an example, and is not limited in any way in the present embodiment.
Alternatively, in the present embodiment, the control method based on behavior habit may be performed by the server 112, may be performed by the terminal 102, or may be performed by both the server 112 and the terminal 102. The control method based on behavior habit performed by the terminal 102 according to the embodiment of the present application may also be performed by a client installed thereon.
Taking a server as an example, fig. 2 is a schematic flow chart of an alternative behavior habit-based control method according to an embodiment of the present application, as shown in fig. 2, the flow of the method may include the following steps:
Step S201, obtaining interaction information between the target user and the target device.
Optionally, the embodiment of the application can be applied to an intelligent home system, and a user interacts with target equipment in the intelligent home system to enable the user to control the target equipment to execute a control instruction, wherein voice information can be used for interaction when the user interacts with the target equipment, and other information except the voice information can be used for completing interaction.
In the embodiment of the application, the server is utilized to acquire the interaction information between the target user and the target equipment, wherein the target user can be a user currently interacting with one of the target equipment in the home system; and taking a control instruction sent by the target user to the target equipment and a feedback result returned by the target equipment in response to the control instruction as interaction information.
The time of acquiring the interaction information can be divided into annual interaction information, monthly interaction information, zhou Jiaohu information and daily interaction information according to time dimension division, and in the embodiment of the application, the daily interaction information can be taken as an example, and meanwhile, the interaction information is voice information, so that descriptions of the following embodiments are developed.
Step S202, behavior data corresponding to the target user is obtained based on the interaction information, wherein the behavior data comprises execution time of the interaction event of the target user.
Optionally, the embodiment of the present application may perform intent analysis on the obtained interaction information by using an algorithm such as a convolutional neural network, and specifically, obtain intent tendency of the target user from the interaction information, so as to obtain behavior data of the target user, where the behavior data includes event execution time of interaction between the target user and the target device, for example, the behavior data includes: 6:00 listen to the bb song of the cc singer, where the bb song of the cc singer is an interactivity event, and 6:00 is execution time for executing the interactivity event.
Step S203, determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit.
Optionally, an execution time for executing the current interaction event is recorded in each behavior data, and according to the execution time, a target behavior habit matched with the target user can be selected from a plurality of behavior habits. When the plurality of behavior habits are matched with the target user, the matching is mainly performed according to the feature of similarity, and then one of the plurality of behavior habits can be selected as the target behavior habit.
It is understood that determining the target behavior habit matching the target user from the plurality of behavior habits may be at least two of a time behavior habit, an event behavior habit, and a general behavior habit, and that the plurality of behavior habits may include a time behavior habit, an event behavior habit, or an event behavior habit, a general behavior habit, or a time behavior habit, a general behavior habit. Meanwhile, the plurality of behavior habits can also comprise three behavior habits of time behavior habits, event behavior habits and common behavior habits. And then selecting one behavior habit from the behavior habits as a target behavior habit.
When the time behavior habit is determined to be the target behavior habit, according to the time set in the time behavior habit, when the physical time (or network time) reaches the time, the target user executes the operation corresponding to the time;
the event behavior habit is a standard for judging the behavior habit of the target user by taking the event as the event, when the event behavior habit is determined to be the target behavior habit, the next behavior is made after the target user executes the event according to the event set by the event behavior habit;
When the target behavior habit matched with the target user is not the time behavior habit or the event behavior habit, the irregular and circulated behavior habit of the target user is indicated, and the common behavior habit is directly used as the target behavior habit of the target user. The common behavior habit means that the target user does not have a certain behavior habit, and the operations are irregular behaviors.
Step S204, executing control operation corresponding to the target behavior habit.
Optionally, after the target behavior habit is obtained, the target device may be controlled to screen out resource information related to the target behavior habit, or the target device may be controlled to send some push resources to the target user.
In the embodiment of the application, the interactive information between the target user and the target equipment is acquired; obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user; determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit; and executing the control operation corresponding to the target behavior habit. According to the embodiment of the application, as the interactive information between the target user and the target equipment is acquired, and the target behavior habit of the target user is determined according to the execution time of the interactive event through the interactive event recorded in the interactive information, the living habit of the target user is further determined, and then the control operation corresponding to the target behavior habit is executed, the purpose of quickly acquiring the living habit of the target user can be realized, and the problem of low time utilization efficiency when the corresponding living habit of the user is acquired in the related technology is solved.
As an alternative embodiment, determining a target behavior habit matching with the target user from a plurality of behavior habits according to an execution time of the interaction event includes:
Sequencing all the interaction events according to the execution time to obtain an event sequence;
and selecting a target behavior habit corresponding to the target interaction event from a plurality of behavior habits according to the relation between the target interaction event and other interaction events in the event sequence.
Optionally, after the behavior data of the target user is obtained, the execution time of executing each interaction event in the behavior data is sequentially arranged according to the sequence indicated by the time axis, so as to obtain an event sequence.
After determining the position of the target interaction event in the event sequence, acquiring other interaction events except the target interaction event, wherein the other interaction events can be any interaction event or interaction events adjacent to the target interaction event. And then obtaining the relation between other interaction events and the target interaction event, and selecting a target behavior habit corresponding to the target interaction event from the plurality of behavior habits according to the obtained result.
It should be noted that, the target interaction event refers to an interaction event performed between the current time of the target user and the target device.
As an optional embodiment, selecting, from the plurality of behavior habits, a target behavior habit corresponding to the target interaction event according to a relationship between the target interaction event and other interaction events in the event sequence includes:
acquiring a first interaction event corresponding to the previous execution time of a target interaction event according to the event sequence;
And taking the time behavior habit in the behavior habits as the target behavior habit corresponding to the target user under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is smaller than or equal to a first preset difference value.
Optionally, in the embodiment of the present application, a first interaction event located before a target interaction event may be selected from the event sequence according to the execution time, and then the event execution time corresponding to the first interaction event may be acquired. Wherein the first interaction event is one sub-interaction event of the other interaction events in the above embodiments.
And calculating a difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event, wherein if the obtained difference value is smaller than or equal to a first preset difference value, the time for executing the interaction event between the target interaction event and the first interaction event is relatively close, so that a target user may have a time behavior habit, for example, the target user listens to a radio station often at about 8 pm. The first preset difference is usually a threshold, for example, 0.1, which is used to represent the highest value of the obtained difference, and only if the difference is lower than or equal to the threshold, the execution time between the target interaction event and the first interaction event is proved to be relatively close, which indicates that the target user often sets a certain time point to execute a certain interaction event.
In the embodiment of the application, whether the target user has time behavior habit is obtained by comparing the execution time of the target interaction event with the execution time of the first interaction event so as to accurately obtain the life habit of the target user, and further, the target equipment improves the interaction technology according to the life habit and improves the interaction experience of the target user.
As an optional embodiment, selecting, from the plurality of behavior habits, a target behavior habit corresponding to the target interaction event according to a relationship between the target interaction event and other interaction events in the event sequence further includes:
Determining the similarity between the target interaction event and the first interaction event under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is larger than a first preset difference value, wherein the first interaction event is the interaction event corresponding to the execution time before the target interaction event;
And under the condition that the similarity is determined to be larger than a first preset similarity threshold, taking the event behavior habit as a target behavior habit corresponding to the target user.
Optionally, a first interaction event located in front of the target interaction event is selected from the event sequence according to the execution time, and then the event execution time corresponding to the first interaction event can be acquired.
And then obtaining a difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event. When the difference is greater than a first preset difference, it is indicated that the execution time of the target interaction event is not close to the execution time of the first interaction event, and it is indicated that the target user does not have time behavior habit, at this time, it is required to determine a similarity between the target interaction event and the first interaction event located in a sequence before the target interaction event, and compare the obtained similarity with a first preset similarity threshold, where the first preset similarity threshold may be set to 90%, and the embodiment of the present application does not specifically limit the value.
If the obtained similarity is greater than a first preset similarity threshold, the fact that the target user has event behavior habits, for example, the target user likes to listen to songs before listening to news, and the event behavior habits are regarded as current target behavior habits of the target user because the obtained similarity is the "listen to news" triggered by "listen to songs".
In the embodiment of the application, whether the target user has the event behavior habit is obtained by comparing the similarity of the target interaction event and the first interaction event so as to accurately obtain the living habit of the target user, so that the target equipment improves the interaction technology according to the living habit and improves the interaction experience of the target user.
As an optional embodiment, selecting, from the plurality of behavior habits, a target behavior habit corresponding to the target interaction event according to a relationship between the target interaction event and other interaction events in the event sequence further includes:
Determining the similarity between the target interaction event and the first interaction event under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is larger than a first preset difference value, wherein the first interaction event is the interaction event corresponding to the execution time before the target interaction event;
and under the condition that the similarity is smaller than or equal to a first preset similarity threshold, taking the common behavior habit in the behavior habits as a target behavior habit corresponding to the target user.
Optionally, a first interaction event located in front of the target interaction event is selected from the event sequence according to the execution time, and then the event execution time corresponding to the first interaction event can be acquired.
And then obtaining a difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event. And under the condition that the difference is larger than a first preset difference, the execution time of the target interaction event is not close to the execution time of the first interaction event, and the fact that the target user does not have time behavior habit is indicated, at this time, the similarity between the target interaction event and the first interaction event positioned in the previous sequence of the target interaction event needs to be determined, the obtained similarity is compared with a first preset similarity threshold value, and under the condition that the obtained similarity between the target interaction event and the first interaction event is smaller than or equal to the first preset similarity threshold value, the fact that the target user does not have fixed behavior habit is indicated, no special rule, such as occasional weather inquiry, and the like, at this time, the common behavior habit in the behavior habit is taken as the target behavior habit corresponding to the target user.
As an alternative embodiment, obtaining behavior data corresponding to the target user based on the interaction information includes:
Grouping the interaction information to obtain a plurality of data sets, wherein the similarity of the interaction information in each data set is larger than a second preset similarity threshold value, and the first target scheme is used for extracting keywords from the interaction information and clustering the extracted keywords;
Determining that behavior data exists in the interactive information when the frequency of repetition of the interactive information in the existing data set in the preset time is greater than or equal to a second preset value;
and carrying out intention analysis on the interaction information in the data set by using the second target scheme to obtain behavior data.
Optionally, after the server obtains the interaction information, the interaction information needs to be subjected to grouping processing, and further, a first target scheme is utilized to extract keywords, which may be proper nouns, nouns and the like, from the interaction information, and then K-means clustering is performed on the extracted keywords to obtain a plurality of data sets. Because the clustering method is that the closer the sentences of the same group are, the better the records of different groups are, the higher the similarity of each group of clustered data is, for example, the similarity of interaction information among each group of data is larger than a second preset similarity threshold value, so that the accuracy of the subsequent behavior habit judgment is higher. The second preset similarity threshold may be set to 95%, or the like, and the embodiment of the present application does not specifically limit the value.
After clustering, judging whether the repetition frequency of the interaction information in each data set in a certain preset time is greater than the lowest repetition frequency of the intention operation (namely a second preset value) or not, and if the repetition frequency of the interaction information in one data set is greater than or equal to the second preset value, determining that behavior data exist in the interaction information of the data set, wherein the behavior data are used for representing that a target user has a behavior habit. If the repetition frequency of the interactive information in the data set is smaller than the second preset value, the current target user is indicated to have no behavior habit, and the data set can be discarded.
It should be noted that, the second preset value is determined according to the period of acquiring the interaction information, and in the embodiment of the present application, the interaction information is acquired with one period being daily, so the minimum repetition frequency of the intent in the day should be determined. If the interactive information is acquired as one cycle per week, the lowest repetition frequency of the intention in one week should be determined, and so on for the year cycle, month cycle, and so on.
And only under the condition that the target user is determined to have a behavior habit, carrying out intention analysis on the interaction information in the data set by using the second target scheme to obtain behavior data. The second target scheme may be a cnn+softmax convolutional neural network, where the convolutional neural network is used for sensitivity analysis of sentence classification, and the like, so as to identify an intention of the target user and obtain behavior data of the target user.
In the embodiment of the application, the obtained interactive information is clustered, and then the interactive information is analyzed for intention recognition after the behavior habit of the target user is determined, so that analysis and calculation resources are saved, and the aim of accurately obtaining the behavior data of the target user is fulfilled.
As an alternative embodiment, executing the control operation corresponding to the target behavior habit includes:
acquiring a target account number for interaction between a target user and target equipment, wherein the target account number is used for indicating the uniqueness of the target user;
when the target behavior habit is determined to be the time behavior habit, when the current moment is the execution time, sending resource information corresponding to the target interaction event to the target account; or (b)
And under the condition that the target behavior habit is determined to be the event behavior habit, sequentially sending the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event to the target account.
Optionally, in the embodiment of the present application, after the target user determines the target behavior habit, a control operation corresponding to the target behavior habit may be performed, for example, the control target device recommends some resource information to the target user. Specifically, the server first obtains a target account number, for example, zhang san, for interaction between the target user and the target device, then checks the execution time of the behavior habit under the condition that the target behavior habit is determined to be the time behavior habit, and then sends resource information related to the target interaction event to the Zhang san when the network time is equal to the execution time. Or alternatively
Under the condition that the target behavior habit is determined to be the event behavior habit, the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event can be sequentially sent to the target account, so that the trigger resources corresponding to the target account are increased. In addition, the target account sequentially acquires the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event, and because the event behavior habit is involved in the embodiment of the application, the target interaction event is executed only after the first interaction event is triggered, when the resource information is sent to the target account, the resource information corresponding to the first interaction event is also sent to the target account first, and then the resource information corresponding to the target interaction event is sent to the target account.
In the embodiment of the application, in order to develop and optimize the product of the target equipment, the intelligent recommendation can be provided for the target account of the target user by utilizing the target behavior habit of the target user, so that the requirements of the target user are met, and the experience quality of the target user is improved.
As an alternative embodiment, as shown in fig. 3, fig. 3 is an overall flow chart of an alternative behavior habit-based control method according to an embodiment of the present application, and the specific implementation steps thereof are as follows:
step S1, obtaining interaction information;
Step S2, extracting keywords;
s3, carrying out K-means clustering on the keywords;
Step S4, dividing the data into a data group 1, wherein the data group has data N1, a data group 2, a data N2 … … and a data Nn;
Step S5, judging whether N1 … … Nn is larger than or equal to a second preset value;
if yes, executing step S6; if not, executing the step S7;
Step S6, intention analysis;
Step S7, the behavior cannot be judged;
Step S8, identifying behavior data, namely behavior habits;
Step S9, judging whether the difference value of each triggering time in the data set is larger than a first preset value, if so, executing step S10, and judging that the user behavior habit is a time behavior habit; if not, executing step S11;
Step S11, judging whether the similarity between the target interaction event and the previous interaction event is larger than a first preset similarity threshold value, if so, executing step S12, judging that the user behavior habit is the event behavior habit, and if not, executing step S13;
step S13, judging that the user behavior habit is a common behavior habit.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM (Read-Only Memory)/RAM (Random Access Memory), magnetic disk, optical disk) and including instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the embodiments of the present application.
According to another aspect of the embodiment of the present application, there is also provided a behavior habit based control device for implementing the behavior habit based control method. Fig. 4 is a block diagram of an alternative behavior habit based control device according to an embodiment of the application, as shown in fig. 4, which may comprise:
a first obtaining unit 401, configured to obtain interaction information between a target user and a target device;
a second obtaining unit 402, connected to the first obtaining unit 401, for obtaining behavior data corresponding to the target user based on the interaction information, where the behavior data includes execution time of the interaction event of the target user;
a selection unit 403, connected to the second obtaining unit 402, configured to determine, according to an execution time of the interaction event, a target behavior habit matched with the target user from a plurality of behavior habits, where the plurality of behavior habits includes at least two of a time behavior habit, an event behavior habit, and a common behavior habit;
And a control unit 404, connected to the selection unit 403, for executing a control operation corresponding to the target behavior habit.
It should be noted that, the first obtaining unit 401 in this embodiment may be used to perform the above-mentioned step S201, the second obtaining unit 402 in this embodiment may be used to perform the above-mentioned step S202, the selecting unit 403 in this embodiment may be used to perform the above-mentioned step S203, and the control unit 404 in this embodiment may be used to perform the above-mentioned step S204.
Through the modules, interactive information between the target user and the target equipment is acquired; obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user; and selecting a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the plurality of behavior habits comprise at least two modes of time behavior habit, event behavior habit and common behavior habit. According to the embodiment of the application, as the interactive information between the target user and the target equipment is acquired, and the target behavior habit of the target user is determined according to the execution time of the interactive event through the interactive event recorded in the interactive information, and then the living habit of the target user is determined, the purpose of quickly acquiring the living habit of the target user can be realized, and the problem of low time utilization efficiency when the corresponding living habit of the user is acquired in the related technology is solved.
As an alternative embodiment, the selecting unit comprises: the ordering module is used for ordering all the interaction events according to the execution time to obtain an event sequence; the selection module is used for selecting a target behavior habit corresponding to the target interaction event from a plurality of behavior habits according to the relation between the target interaction event and other interaction events in the event sequence.
As an alternative embodiment, the selecting module includes: the acquisition subunit is used for acquiring a first interaction event corresponding to the execution time before the target interaction event according to the event sequence; the first setting subunit is configured to use, as a target behavior habit corresponding to the target user, a time behavior habit of the multiple behavior habits when a difference between an execution time corresponding to the target interaction event and an execution time corresponding to the first interaction event is less than or equal to a first preset difference.
As an alternative embodiment, the selecting module further includes: the first determining subunit is configured to determine a similarity between the target interaction event and the first interaction event when a difference between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is greater than a first preset difference, where the first interaction event is an interaction event corresponding to a previous execution time of the target interaction event; and the second setting subunit is used for taking the event behavior habit as the target behavior habit corresponding to the target user under the condition that the similarity is determined to be greater than the first preset similarity threshold value.
As an alternative embodiment, the selecting module further includes: the second determining subunit is configured to determine a similarity between the target interaction event and the first interaction event when a difference between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is greater than a first preset difference, where the first interaction event is an interaction event corresponding to an execution time preceding the target interaction event; and the third setting subunit is used for taking the common behavior habit in the behavior habits as the target behavior habit corresponding to the target user under the condition that the similarity is less than or equal to the first preset similarity threshold value.
As an alternative embodiment, the second acquisition unit comprises: the grouping module is used for grouping the interaction information to obtain a plurality of data sets, wherein the similarity of the interaction information in each data set is larger than a second preset similarity threshold value, and the first target scheme is used for extracting keywords from the interaction information and clustering the extracted keywords; the determining module is used for determining that behavior data exist in the interaction information when the frequency of repetition of the interaction information in the existing data set in the preset time is greater than or equal to a second preset value; and the analysis module is used for carrying out intent analysis on the interaction information in the data set by utilizing the second target scheme to obtain behavior data.
As an alternative embodiment, the control unit comprises: the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a target account for interaction between a target user and target equipment, and the target account is used for indicating the uniqueness of the target user; the first sending module is used for sending resource information corresponding to the target interaction event to the target account when the current moment is execution time under the condition that the target behavior habit is determined to be time behavior habit; or (b)
And the second sending module is used for sequentially sending the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event to the target account under the condition that the target behavior habit is determined to be the event behavior habit.
It should be noted that the above modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to what is disclosed in the above embodiments. It should be noted that the above modules may be implemented in software or in hardware as part of the apparatus shown in fig. 1, where the hardware environment includes a network environment.
According to still another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the behavior habit based control method described above, where the electronic device may be a server, a terminal, or a combination thereof.
Fig. 5 is a block diagram of an alternative electronic device, according to an embodiment of the application, as shown in fig. 5, comprising a processor 501, a communication interface 502, a memory 503 and a communication bus 504, wherein the processor 501, the communication interface 502 and the memory 503 communicate with each other via the communication bus 504, wherein,
A memory 503 for storing a computer program;
the processor 501, when executing the computer program stored on the memory 503, performs the following steps:
S1, acquiring interaction information between a target user and target equipment;
S2, behavior data corresponding to the target user are obtained based on the interaction information, wherein the behavior data comprise execution time of an interaction event of the target user;
S3, determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit;
S4, executing control operation corresponding to the target behavior habit.
Alternatively, in the present embodiment, the above-described communication bus may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus, or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The memory may include RAM or may include non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
As an example, as shown in fig. 5, the memory 503 may include, but is not limited to, the first acquiring unit 401, the second acquiring unit 402, and the selecting unit 403 in the behavior habit based control device. In addition, other module units in the control device based on behavior habit may be included, but are not limited to, and are not described in detail in this example.
The processor may be a general purpose processor and may include, but is not limited to: CPU (Central Processing Unit ), NP (Network Processor, network processor), etc.; but may also be a DSP (DIGITAL SIGNAL Processing), ASIC (Application SPECIFIC INTEGRATED Circuit), FPGA (Field-Programmable gate array) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components.
In addition, the electronic device further includes: and the display is used for displaying the determination result of the behavior habit.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is only schematic, and the device implementing the behavior habit-based control method may be a terminal device, and the terminal device may be a smart phone (such as an Android Mobile phone, an iOS Mobile phone, etc.), a tablet computer, a palm computer, a Mobile internet device (Mobile INTERNET DEVICES, MID), a PAD, etc. Fig. 5 is not limited to the structure of the electronic device described above. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 5, or have a different configuration than shown in fig. 5.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program for instructing a terminal device to execute in association with hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, etc.
According to yet another aspect of an embodiment of the present application, there is also provided a storage medium. Alternatively, in the present embodiment, the above-described storage medium may be used for program code for executing a behavior habit-based control method.
Alternatively, in this embodiment, the storage medium may be located on at least one network device of the plurality of network devices in the network shown in the above embodiment.
Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of:
S1, acquiring interaction information between a target user and target equipment;
S2, behavior data corresponding to the target user are obtained based on the interaction information, wherein the behavior data comprise execution time of an interaction event of the target user;
S3, determining a target behavior habit matched with the target user from a plurality of behavior habits according to the execution time of the interaction event, wherein the target behavior habit is used for representing the living habit of the target user, and the plurality of behavior habits comprise at least two of time behavior habit, event behavior habit and common behavior habit;
S4, executing control operation corresponding to the target behavior habit.
Alternatively, specific examples in the present embodiment may refer to examples described in the above embodiments, which are not described in detail in the present embodiment.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, ROM, RAM, a mobile hard disk, a magnetic disk or an optical disk.
According to yet another aspect of embodiments of the present application, there is also provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium; the computer instructions are read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the behavior habit based control method steps of any one of the embodiments described above.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to execute all or part of the steps of the behavior habit based control method according to the various embodiments of the present application.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In several embodiments provided by the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and are merely a logical functional division, and there may be other manners of dividing the apparatus in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the present embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application, which are intended to be comprehended within the scope of the present application.
Claims (7)
1. A behavior habit based control method, the method comprising:
acquiring interaction information between a target user and target equipment;
Obtaining behavior data corresponding to the target user based on the interaction information, wherein the behavior data comprises execution time of an interaction event of the target user;
ordering all the interaction events according to the execution time to obtain an event sequence;
acquiring a first interaction event corresponding to the previous execution time of the target interaction event according to the event sequence;
according to the relation between the target interaction event and the first interaction event in the event sequence, selecting a target behavior habit corresponding to the target interaction event from a plurality of behavior habits, wherein the plurality of behavior habits comprise event behavior habits and at least one of time behavior habits and common behavior habits, the event behavior habit is a standard for judging the target user behavior habit by taking an event as a judgment target user behavior habit, and when the event behavior habit is determined to be the target behavior habit, the next behavior is made after the target user executes the event according to the event set by the event behavior habit;
Executing control operation corresponding to the target behavior habit;
the obtaining behavior data corresponding to the target user based on the interaction information includes:
grouping the interaction information to obtain a plurality of data sets, wherein the similarity of the interaction information in each data set is larger than a second preset similarity threshold;
Under the condition that the repetition frequency of the interactive information in the data set in the preset time is greater than or equal to a second preset value, carrying out intention analysis on the interactive information in the data set to obtain the behavior data;
wherein, according to the relationship between the target interaction event and the first interaction event in the event sequence, selecting the target behavior habit corresponding to the target interaction event from a plurality of behavior habits further includes:
Determining the similarity between the target interaction event and a first interaction event under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is larger than a first preset difference value, wherein the first interaction event is an interaction event corresponding to the execution time before the target interaction event;
and under the condition that the similarity is larger than a first preset similarity threshold, taking the event behavior habit as a target behavior habit corresponding to the target user.
2. The method of claim 1, wherein selecting a target behavior habit from a plurality of behavior habits according to a relationship between a target interaction event and the first interaction event in the event sequence comprises:
And when the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is smaller than or equal to a first preset difference value, taking the time behavior habit as the target behavior habit corresponding to the target user.
3. The method of claim 1, wherein selecting a target behavior habit from a plurality of behavior habits according to a relationship between a target interaction event and the first interaction event in the sequence of events further comprises:
Determining the similarity between the target interaction event and a first interaction event under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is larger than a first preset difference value, wherein the first interaction event is an interaction event corresponding to the execution time before the target interaction event;
And under the condition that the similarity is smaller than or equal to a first preset similarity threshold, taking the common behavior habit in the behavior habits as a target behavior habit corresponding to the target user.
4. A method according to any one of claims 2 to 3, wherein said executing the control operation corresponding to the target behavioral habit comprises:
Acquiring a target account number for interaction between the target user and the target device, wherein the target account number is used for indicating the uniqueness of the target user;
when the target behavior habit is determined to be the time behavior habit, sending resource information corresponding to the target interaction event to the target account when the current moment is the execution time; or (b)
And under the condition that the target behavior habit is determined to be the event behavior habit, sequentially sending the resource information corresponding to the first interaction event and the resource information corresponding to the target interaction event to the target account.
5. A behavior habit based control device, the device comprising:
the first acquisition unit is used for acquiring interaction information between the target user and the target equipment;
A second obtaining unit, configured to obtain behavior data corresponding to the target user based on the interaction information, where the behavior data includes execution time of an interaction event of the target user;
the selecting unit is used for sequencing all the interaction events according to the execution time to obtain an event sequence; acquiring a first interaction event corresponding to the previous execution time of the target interaction event according to the event sequence; selecting a target behavior habit corresponding to the target interaction event from a plurality of behavior habits according to the relation between the target interaction event and the first interaction event in the event sequence, wherein the plurality of behavior habits comprise event behavior habits and at least one of time behavior habits and common behavior habits;
the control unit is used for executing control operation corresponding to the target behavior habit;
Wherein the second acquisition unit is configured to:
grouping the interaction information to obtain a plurality of data sets, wherein the similarity of the interaction information in each data set is larger than a second preset similarity threshold;
Under the condition that the repetition frequency of the interactive information in the data set in the preset time is greater than or equal to a second preset value, carrying out intention analysis on the interactive information in the data set to obtain the behavior data;
wherein, the selecting unit is used for:
Determining the similarity between the target interaction event and a first interaction event under the condition that the difference value between the execution time corresponding to the target interaction event and the execution time corresponding to the first interaction event is larger than a first preset difference value, wherein the first interaction event is an interaction event corresponding to the execution time before the target interaction event;
and under the condition that the similarity is larger than a first preset similarity threshold, taking the event behavior habit as a target behavior habit corresponding to the target user.
6. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus, characterized in that,
The memory is used for storing a computer program;
The processor is configured to perform the method steps of any of claims 1 to 4 by running the computer program stored on the memory.
7. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program is arranged to perform the method steps of any of claims 1 to 4 when run.
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| CN115422452B (en) * | 2022-08-30 | 2024-05-31 | 山西凯特通讯有限责任公司 | Smart home control method, device, equipment and storage medium based on big data |
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