Scene call method and system based on intelligent scene recommendation, and medium

Abstract

The embodiment of the invention provides a scene call method and system based on intelligent scene recommendation and a medium, and the method comprises the steps: obtaining a call record of a terminal, and analyzing the behavior information of a terminal user based on the call record of the terminal; analyzing preference information of the terminal user based on the behavior information of the terminal user, and matching an optimal contextual model based on the preference information of the terminal user; acquiring a current contextual model of the terminal, and analyzing whether the current contextual model of the terminal is the same as the optimal contextual model or not; if yes, applying the current contextual model; if not, switching the contextual model of the terminal to the optimal contextual model; the optimal contextual model is intelligently matched by analyzing the behavior and preference of the terminal user, and the current contextual model is switched to the optimal contextual model, so that the flexibility and authenticity of the contextual call are improved.

Description

Technical Field

[0001] The present application relates to the technical field of scenario calling, and in particular to a scenario calling method, system and medium based on intelligent scenario recommendation. Background Art

[0002] With the development of economy and society and the improvement of people's living standards, mobile phones, tablet computers and other terminals have become indispensable communication tools for people, and answering calls or receiving messages anytime and anywhere has become an important part of people's daily life.

[0003] In daily life, many people may encounter the following situations, such as when in a meeting, the incoming call rings suddenly and inappropriately, disrupting the meeting; or when outdoors, because the ring is too quiet, you miss a very important call, etc. In order to solve these problems, terminals with call functions (such as mobile phones) are pre-set with several scene modes for users to choose, such as standard mode, silent mode, flight mode, meeting mode and outdoor mode, etc. The terminal user can switch the scene mode by himself through the menu. The existing scene call process cannot intelligently match the optimal scene mode according to the user's behavior and preferences, thus affecting the flexibility of the scene call. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a scenario call method, system and medium based on intelligent scenario recommendation, which intelligently matches the optimal scenario mode by analyzing the terminal user's behavior and preferences, and switches the current scenario mode to the optimal scenario mode, thereby improving the flexibility and authenticity of the scenario call.

[0005] The embodiment of the present application also provides a scenario call method based on intelligent scenario recommendation, including: Obtain the call records of the terminal and analyze the behavior information of the terminal user based on the call records of the terminal; Analyze the terminal user's preference information based on the terminal user's behavior information, and match the optimal scenario mode based on the terminal user's preference information; Obtain the current scene mode of the terminal, and analyze whether the current scene mode of the terminal is the same as the optimal scene mode; If they are the same, the current scenario mode is applied; If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

[0006] Optionally, in the scenario call method based on intelligent scenario recommendation described in the embodiment of the present application, acquiring the call record of the terminal, and analyzing the behavior information of the terminal user based on the call record of the terminal specifically include: Obtain the call records of the terminal, and divide the call records of the terminal into multiple segments according to the set time period; Extract the scenario of each call record to obtain the call scenario; Analyze the behavior information of terminal users based on call scenarios; The behavior information of the terminal user corresponding to each call record is integrated to obtain the behavior information of the terminal user within a set time period.

[0007] Optionally, in the scenario call method based on intelligent scenario recommendation described in the embodiment of the present application, analyzing the preference information of the terminal user based on the behavior information of the terminal user specifically includes: Obtaining the behavior information of the terminal user, analyzing the behavior information of the terminal user, and obtaining the scenario call duration and scenario call status information of the terminal user; Analyze the scene mode switching state information during the call based on the scene call state information; Analyze the number of scenario mode switching times and the final selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; Analyze the terminal user's preference information based on the final selected scenario mode.

[0008] Optionally, in the scenario call method based on intelligent scenario recommendation described in the embodiment of the present application, matching the optimal scenario mode based on the preference information of the terminal user specifically includes: Based on big data, we can obtain scenario patterns and end-user preference data and establish data pairs; Based on the data pairs, a scenario selection library is formed, and the terminal users are classified based on their preference information to obtain multiple categories of user groups; Multiple storage areas are set in the scenario selection library to store multiple categories of user groups separately in different storage areas; Obtain user information of the terminal user, analyze the storage area where the terminal user is located based on the user information, and extract data from the storage area where the terminal user is located; Analyze all the scene modes in the storage area, select the scene mode with the highest adaptability, and obtain the optimal scene mode.

[0009] Optionally, in the scenario call method based on intelligent scenario recommendation described in the embodiment of the present application, obtaining the current scenario mode of the terminal and analyzing whether the current scenario mode of the terminal is the same as the optimal scenario mode specifically include: Obtain the current scene mode and the optimal scene mode of the terminal; Compare the current scenario mode of the terminal with the optimal scenario mode to obtain a similarity; Determining whether the similarity is greater than or equal to a set similarity threshold; If it is greater than or equal to the set similarity threshold, it is determined that the current scene mode is the same as the optimal scene mode; If it is less than, it is determined that the current scenario mode does not match the terminal, and the optimal scenario mode is reselected from the scenario selection library.

[0010] Optionally, in the scenario call method based on intelligent scenario recommendation described in the embodiment of the present application, if they are not the same, switching the scenario mode of the terminal to the optimal scenario mode specifically includes: Acquire the scenario mode of the terminal, and analyze the difference information between the scenario mode of the terminal and the optimal scenario mode; Compare the difference information with the set difference information to obtain a difference value; Determine whether the difference value is greater than or equal to a set difference threshold; If it is greater than or equal to, an intermediate switching mode is generated, and the terminal switching mode is transitionally switched to the optimal scenario mode; If it is less than, the terminal scenario mode is directly switched to the optimal scenario mode.

[0011] In a second aspect, an embodiment of the present application provides a scenario call system based on intelligent scenario recommendation, the system comprising: a memory and a processor, the memory comprising a program of a scenario call method based on intelligent scenario recommendation, the program of the scenario call method based on intelligent scenario recommendation being executed by the processor to implement the following steps: Obtain the call records of the terminal and analyze the behavior information of the terminal user based on the call records of the terminal; Analyze the terminal user's preference information based on the terminal user's behavior information, and match the optimal scenario mode based on the terminal user's preference information; Obtain the current scene mode of the terminal, and analyze whether the current scene mode of the terminal is the same as the optimal scene mode; If they are the same, the current scenario mode is applied; If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

[0012] Optionally, in the scenario call system based on intelligent scenario recommendation described in the embodiment of the present application, acquiring the call record of the terminal, and analyzing the behavior information of the terminal user based on the call record of the terminal specifically include: Obtain the call records of the terminal, and divide the call records of the terminal into multiple segments according to the set time period; Extract the scenario of each call record to obtain the call scenario; Analyze the behavior information of terminal users based on call scenarios; The behavior information of the terminal user corresponding to each call record is integrated to obtain the behavior information of the terminal user within a set time period.

[0013] Optionally, in the scenario call system based on intelligent scenario recommendation described in the embodiment of the present application, analyzing the preference information of the terminal user based on the behavior information of the terminal user specifically includes: Obtaining the behavior information of the terminal user, analyzing the behavior information of the terminal user, and obtaining the scenario call duration and scenario call status information of the terminal user; Analyze the scene mode switching state information during the call based on the scene call state information; Analyze the number of scenario mode switching times and the final selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; Analyze the terminal user's preference information based on the final selected scenario mode.

[0014] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a scenario call method program based on intelligent scenario recommendation, and when the scenario call method program based on intelligent scenario recommendation is executed by a processor, the steps of the scenario call method based on intelligent scenario recommendation as described in any one of the above items are implemented.

[0015] As can be seen from the above, the embodiments of the present application provide a scenario call method, system and medium based on intelligent scenario recommendation, which obtains the call records of the terminal, analyzes the behavior information of the terminal user based on the call records of the terminal; analyzes the preference information of the terminal user based on the behavior information of the terminal user, and matches the optimal scenario mode based on the preference information of the terminal user; obtains the current scenario mode of the terminal, and analyzes whether the current scenario mode of the terminal is the same as the optimal scenario mode; if they are the same, applies the current scenario mode; if they are not the same, switches the scenario mode of the terminal to the optimal scenario mode; intelligently matches the optimal scenario mode by analyzing the behavior and preferences of the terminal user, and switches the current scenario mode to the optimal scenario mode, thereby improving the flexibility and authenticity of the scenario call. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of a scenario call method based on intelligent scenario recommendation provided in an embodiment of the present application; Figure 2 A flow chart of a method for analyzing behavior information of a terminal user of a scenario call method based on intelligent scenario recommendation provided in an embodiment of the present application; Figure 3 A flow chart of a method for analyzing terminal users' preference information in a scenario calling method based on intelligent scenario recommendation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0019] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0020] Please refer to Figure 1 , Figure 1 The flowchart of a scenario call method based on intelligent scenario recommendation in some embodiments of the present application. The scenario call method based on intelligent scenario recommendation is used in a terminal device, and the scenario call method based on intelligent scenario recommendation includes the following steps: S101, obtaining call records of a terminal, and analyzing behavior information of a terminal user based on the call records of the terminal; S102, analyzing the preference information of the terminal user based on the behavior information of the terminal user, and matching the optimal scenario mode based on the preference information of the terminal user; S103, obtaining the current scene mode of the terminal, and analyzing whether the current scene mode of the terminal is the same as the optimal scene mode; S104, if the two are the same, then the current scene mode is applied; S105: If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

[0021] It should be noted that by analyzing the terminal's call records in real time to analyze the terminal user's behavior and user preferences, the optimal scenario mode is matched, and the current scenario mode is dynamically switched to ensure that the terminal's scenario mode selection is at the optimal result.

[0022] Please refer to Figure 2 , Figure 2The present invention is a flowchart of a method for analyzing the behavior information of a terminal user in a scenario call method based on intelligent scenario recommendation in some embodiments of the present application. According to an embodiment of the present invention, obtaining the call records of the terminal and analyzing the behavior information of the terminal user based on the call records of the terminal specifically include: S201, obtaining call records of a terminal, and dividing the call records of the terminal according to a set time period to obtain multiple call records; S202, extracting the scenario from each call record to obtain the call scenario; S203, analyzing the behavior information of the terminal user based on the call scenario; S204, integrating the behavior information of the terminal user corresponding to each call record to obtain the behavior information of the terminal user within a set time period.

[0023] It should be noted that by segmenting the call records of the terminal, the call records of different time periods are analyzed and processed separately, so as to accurately analyze the user behavior. After the analysis is completed, the user behavior information of each call record is integrated to improve the analysis accuracy of the terminal user behavior information.

[0024] Please refer to Figure 3 , Figure 3 The flowchart of the method for analyzing the preference information of the terminal user of the scenario call method based on intelligent scenario recommendation in some embodiments of the present application is as follows. According to the embodiment of the present invention, analyzing the preference information of the terminal user based on the behavior information of the terminal user specifically includes: S301, obtaining behavior information of a terminal user, analyzing the behavior information of the terminal user, and obtaining scenario call duration and scenario call status information of the terminal user; S302, analyzing the context mode switching state information during the call based on the context call state information; S303, analyzing the number of scenario mode switching times and the finally selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; S304: analyzing the terminal user's preference information based on the scenario mode finally selected.

[0025] It should be noted that by analyzing the scenario call status information, the optimal scenario mode under the scenario call duration of the user is analyzed, and the preferences of the terminal user are analyzed according to the scenario mode finally selected.

[0026] According to an embodiment of the present invention, matching the optimal scenario mode based on the preference information of the terminal user specifically includes: Based on big data, we obtain scenario patterns and end-user preference data and establish data pairs; Based on the data pairs, a scenario selection library is formed, and the terminal users are classified based on their preference information to obtain multiple categories of user groups; Multiple storage areas are set in the scenario selection library to store multiple categories of user groups separately in different storage areas; Obtain user information of the terminal user, analyze the storage area where the terminal user is located based on the user information, and extract data from the storage area where the terminal user is located; Analyze all the scene modes in the storage area, select the scene mode with the highest adaptability, and obtain the optimal scene mode.

[0027] It should be noted that a scenario selection library is established through big data, and terminal users are classified according to their preferences. During the scenario mode selection process, one of the storage areas is selected separately for data extraction to improve data analysis efficiency.

[0028] According to an embodiment of the present invention, obtaining the current scene mode of the terminal and analyzing whether the current scene mode of the terminal is the same as the optimal scene mode specifically includes: Obtain the current scene mode and the optimal scene mode of the terminal; Compare the current scenario mode of the terminal with the optimal scenario mode to obtain a similarity; Determine whether the similarity is greater than or equal to a set similarity threshold; If it is greater than or equal to the set similarity threshold, it is determined that the current scene mode is the same as the optimal scene mode; If it is less than, it is determined that the current scenario mode does not match the terminal, and the optimal scenario mode is reselected from the scenario selection library.

[0029] It should be noted that by analyzing the similarity between the current scenario mode of the terminal and the optimal scenario mode, it is determined whether the terminal needs to switch the scenario mode, thereby ensuring that the scenario mode of the terminal meets the best effect.

[0030] According to an embodiment of the present invention, if they are not the same, switching the scenario mode of the terminal to the optimal scenario mode specifically includes: Acquire the scenario mode of the terminal, and analyze the difference information between the scenario mode of the terminal and the optimal scenario mode; Compare the difference information with the set difference information to obtain a difference value; Determine whether the difference value is greater than or equal to the set difference threshold; If it is greater than or equal to, an intermediate switching mode is generated, and the terminal switching mode is transitionally switched to the optimal scenario mode; If it is less than, the terminal scenario mode is directly switched to the optimal scenario mode.

[0031] It should be noted that the difference between the scenario mode of the terminal and the optimal scenario mode is analyzed to obtain the difference value, thereby selecting different switching modes to ensure the switching efficiency of the optimal scenario mode.

[0032] According to an embodiment of the present invention, analyzing all scenario modes in the storage area, selecting the scenario mode with the highest adaptability, and obtaining the optimal scenario mode also includes: Obtain all scenario modes in the storage area, analyze the compatibility between each scenario mode and the terminal user, and calculate the degree of compatibility; All scenario modes are sorted based on the degree of adaptability, the scenario mode with the highest degree of adaptability is selected according to the sorting of the scenario modes, and the running fluency of the scenario mode with the highest degree of adaptability and the terminal is analyzed; Analyze whether the running fluency is within the set fluency range; If it is in the set fluency range, the scenario mode with the highest adaptability will be used as the optimal scenario mode; If it is not within the set fluency range, the scenario modes are analyzed in sequence according to the ranking of the scenario modes.

[0033] It should be noted that, in order to ensure that the optimal scenario mode better matches the terminal, the compatibility between the scenario mode and the terminal is analyzed in sequence according to the ranking of the scenario modes, so as to select the optimal scenario mode.

[0034] In a second aspect, an embodiment of the present application provides a scenario call system based on intelligent scenario recommendation, the system comprising: a memory and a processor, the memory comprising a program of a scenario call method based on intelligent scenario recommendation, and the program of the scenario call method based on intelligent scenario recommendation is executed by the processor to implement the following steps: Obtain the call records of the terminal and analyze the behavior information of the terminal user based on the call records of the terminal; Analyze the terminal user's preference information based on the terminal user's behavior information, and match the optimal scenario mode based on the terminal user's preference information; Obtain the current scene mode of the terminal, and analyze whether the current scene mode of the terminal is the same as the optimal scene mode; If they are the same, the current scenario mode is applied; If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

[0035] It should be noted that by analyzing the terminal's call records in real time to analyze the terminal user's behavior and user preferences, the optimal scenario mode is matched, and the current scenario mode is dynamically switched to ensure that the terminal's scenario mode selection is at the optimal result.

[0036] According to an embodiment of the present invention, acquiring a call record of a terminal and analyzing behavior information of a terminal user based on the call record of the terminal specifically includes: Obtain the call records of the terminal, and divide the call records of the terminal into multiple segments according to the set time period; Extract the scenario of each call record to obtain the call scenario; Analyze the behavior information of terminal users based on call scenarios; The behavior information of the terminal user corresponding to each call record is integrated to obtain the behavior information of the terminal user within a set time period.

[0037] It should be noted that by segmenting the call records of the terminal, the call records of different time periods are analyzed and processed separately, so as to accurately analyze the user behavior. After the analysis is completed, the user behavior information of each call record is integrated to improve the analysis accuracy of the terminal user behavior information.

[0038] According to an embodiment of the present invention, analyzing the preference information of the terminal user based on the behavior information of the terminal user specifically includes: Obtaining the behavior information of the terminal user, analyzing the behavior information of the terminal user, and obtaining the scenario call duration and scenario call status information of the terminal user; Analyze the scene mode switching state information during the call based on the scene call state information; Analyze the number of scenario mode switching times and the final selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; Analyze the terminal user's preference information based on the final selected scenario mode.

[0039] It should be noted that by analyzing the scenario call status information, the optimal scenario mode under the scenario call duration of the user is analyzed, and the preferences of the terminal user are analyzed according to the scenario mode finally selected.

[0040] According to an embodiment of the present invention, matching the optimal scenario mode based on the preference information of the terminal user specifically includes: Based on big data, we can obtain scenario patterns and end-user preference data and establish data pairs; Based on the data pairs, a scenario selection library is formed, and the terminal users are classified based on their preference information to obtain multiple categories of user groups; Multiple storage areas are set in the scenario selection library to store multiple categories of user groups separately in different storage areas; Obtain user information of the terminal user, analyze the storage area where the terminal user is located based on the user information, and extract data from the storage area where the terminal user is located; Analyze all the scene modes in the storage area, select the scene mode with the highest adaptability, and obtain the optimal scene mode.

[0041] It should be noted that a scenario selection library is established through big data, and terminal users are classified according to their preferences. During the scenario mode selection process, one of the storage areas is selected separately for data extraction to improve data analysis efficiency.

[0042] According to an embodiment of the present invention, obtaining the current scene mode of the terminal and analyzing whether the current scene mode of the terminal is the same as the optimal scene mode specifically includes: Obtain the current scene mode and the optimal scene mode of the terminal; Compare the current scenario mode of the terminal with the optimal scenario mode to obtain a similarity; Determine whether the similarity is greater than or equal to a set similarity threshold; If it is greater than or equal to the set similarity threshold, it is determined that the current scene mode is the same as the optimal scene mode; If it is less than, it is determined that the current scenario mode does not match the terminal, and the optimal scenario mode is reselected from the scenario selection library.

[0043] It should be noted that by analyzing the similarity between the current scenario mode of the terminal and the optimal scenario mode, it is determined whether the terminal needs to switch the scenario mode, thereby ensuring that the scenario mode of the terminal meets the best effect.

[0044] According to an embodiment of the present invention, if they are not the same, switching the scenario mode of the terminal to the optimal scenario mode specifically includes: Acquire the scenario mode of the terminal, and analyze the difference information between the scenario mode of the terminal and the optimal scenario mode; Compare the difference information with the set difference information to obtain a difference value; Determine whether the difference value is greater than or equal to the set difference threshold; If it is greater than or equal to, an intermediate switching mode is generated, and the terminal switching mode is transitionally switched to the optimal scenario mode; If it is less than, the terminal scenario mode is directly switched to the optimal scenario mode.

[0045] It should be noted that the difference between the scenario mode of the terminal and the optimal scenario mode is analyzed to obtain the difference value, thereby selecting different switching modes to ensure the switching efficiency of the optimal scenario mode.

[0046] According to an embodiment of the present invention, analyzing all scenario modes in the storage area, selecting the scenario mode with the highest adaptability, and obtaining the optimal scenario mode also includes: Obtain all scenario modes in the storage area, analyze the compatibility between each scenario mode and the terminal user, and calculate the degree of compatibility; All scenario modes are sorted based on the degree of adaptability, the scenario mode with the highest degree of adaptability is selected according to the sorting of the scenario modes, and the running fluency of the scenario mode with the highest degree of adaptability and the terminal is analyzed; Analyze whether the running fluency is within the set fluency range; If it is in the set fluency range, the scenario mode with the highest adaptability will be used as the optimal scenario mode; If it is not within the set fluency range, the scenario modes are analyzed in sequence according to the ranking of the scenario modes.

[0047] It should be noted that, in order to ensure that the optimal scenario mode better matches the terminal, the compatibility between the scenario mode and the terminal is analyzed in sequence according to the ranking of the scenario modes, so as to select the optimal scenario mode.

[0048] A third aspect of the present invention provides a computer-readable storage medium, which includes a scenario call method program based on intelligent scenario recommendation. When the scenario call method program based on intelligent scenario recommendation is executed by a processor, the steps of the scenario call method based on intelligent scenario recommendation as described above are implemented.

[0049] The present invention discloses a scenario call method, system and medium based on intelligent scenario recommendation, which obtains the call record of the terminal, analyzes the behavior information of the terminal user based on the call record of the terminal; analyzes the preference information of the terminal user based on the behavior information of the terminal user, and matches the optimal scenario mode based on the preference information of the terminal user; obtains the current scenario mode of the terminal, analyzes whether the current scenario mode of the terminal is the same as the optimal scenario mode; if they are the same, applies the current scenario mode; if they are not the same, switches the scenario mode of the terminal to the optimal scenario mode; intelligently matches the optimal scenario mode by analyzing the behavior and preference of the terminal user, and switches the current scenario mode to the optimal scenario mode, thereby improving the flexibility and authenticity of the scenario call.

[0050] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0051] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0052] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0053] A person skilled in the art can understand that all or part of the steps of the above method embodiment can be completed by hardware related to program instructions, and the above program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the above storage medium includes: mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc. Various media that can store program codes.

[0054] Or, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A scenario call method based on intelligent scenario recommendation, characterized in that: Applicable to terminals with call functions, including: Obtain the call records of the terminal and analyze the behavior information of the terminal user based on the call records of the terminal; Analyze the terminal user's preference information based on the terminal user's behavior information, and match the optimal scenario mode based on the terminal user's preference information; Obtain the current scene mode of the terminal, and analyze whether the current scene mode of the terminal is the same as the optimal scene mode; If they are the same, the current scene mode is applied; If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

2. The scenario call method based on intelligent scenario recommendation according to claim 1, characterized in that: Obtain the terminal's call records and analyze the terminal user's behavior information based on the terminal's call records, including: Obtain the call records of the terminal, and divide the call records of the terminal into multiple segments according to the set time period; Extract the scenario of each call record to obtain the call scenario; Analyze the behavior information of terminal users based on call scenarios; The behavior information of the terminal user corresponding to each call record is integrated to obtain the behavior information of the terminal user within a set time period.

3. The scenario call method based on intelligent scenario recommendation according to claim 2, characterized in that: Analyze the terminal user's preference information based on the terminal user's behavior information, including: Obtaining the behavior information of the terminal user, analyzing the behavior information of the terminal user, and obtaining the scenario call duration and scenario call status information of the terminal user; Analyze the scene mode switching state information during the call based on the scene call state information; Analyze the number of scenario mode switching times and the final selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; Analyze the terminal user's preference information based on the final selected scenario mode.

4. The scenario call method based on intelligent scenario recommendation according to claim 3, characterized in that: Match the best scenario mode based on the terminal user's preference information, including: Based on big data, we can obtain scenario patterns and end-user preference data and establish data pairs; Based on the data pairs, a scenario selection library is formed, and the terminal users are classified based on their preference information to obtain multiple categories of user groups; Multiple storage areas are set in the scenario selection library to store multiple categories of user groups separately in different storage areas; Obtain user information of the terminal user, analyze the storage area where the terminal user is located based on the user information, and extract data from the storage area where the terminal user is located; Analyze all the scene modes in the storage area, select the scene mode with the highest adaptability, and obtain the optimal scene mode.

5. The scenario call method based on intelligent scenario recommendation according to claim 4, characterized in that: Obtain the current scenario mode of the terminal and analyze whether the current scenario mode of the terminal is the same as the optimal scenario mode, including: Obtain the current scene mode and the optimal scene mode of the terminal; Compare the current scenario mode of the terminal with the optimal scenario mode to obtain a similarity; Determining whether the similarity is greater than or equal to a set similarity threshold; If it is greater than or equal to the set similarity threshold, it is determined that the current scene mode is the same as the optimal scene mode; If it is less than, it is determined that the current scenario mode does not match the terminal, and the optimal scenario mode is reselected from the scenario selection library.

6. The scenario call method based on intelligent scenario recommendation according to claim 5, characterized in that: If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode, which includes: Acquire the scenario mode of the terminal, and analyze the difference information between the scenario mode of the terminal and the optimal scenario mode; Compare the difference information with the set difference information to obtain a difference value; Determine whether the difference value is greater than or equal to a set difference threshold; If it is greater than or equal to, an intermediate switching mode is generated, and the terminal switching mode is transitionally switched to the optimal scenario mode; If it is less than, the terminal scenario mode is directly switched to the optimal scenario mode.

7. A scenario call system based on intelligent scenario recommendation, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a scenario call method based on intelligent scenario recommendation, and when the program of the scenario call method based on intelligent scenario recommendation is executed by the processor, the following steps are implemented: Obtain the call records of the terminal and analyze the behavior information of the terminal user based on the call records of the terminal; Analyze the terminal user's preference information based on the terminal user's behavior information, and match the optimal scenario mode based on the terminal user's preference information; Obtain the current scene mode of the terminal, and analyze whether the current scene mode of the terminal is the same as the optimal scene mode; If they are the same, the current scene mode is applied; If they are not the same, the scenario mode of the terminal is switched to the optimal scenario mode.

8. The scenario call system based on intelligent scenario recommendation according to claim 7, characterized in that: Obtain the terminal's call records and analyze the terminal user's behavior information based on the terminal's call records, including: Obtain the call records of the terminal, and divide the call records of the terminal into multiple segments according to the set time period; Extract the scenario of each call record to obtain the call scenario; Analyze the behavior information of terminal users based on call scenarios; The behavior information of the terminal user corresponding to each call record is integrated to obtain the behavior information of the terminal user within a set time period.

9. The scenario call system based on intelligent scenario recommendation according to claim 8, characterized in that: Analyze the terminal user's preference information based on the terminal user's behavior information, including: Obtaining the behavior information of the terminal user, analyzing the behavior information of the terminal user, and obtaining the scenario call duration and scenario call status information of the terminal user; Analyze the scene mode switching state information during the call based on the scene call state information; Analyze the number of scenario mode switching times and the final selected scenario mode under the scenario call duration of the terminal user based on the scenario mode switching state information; Analyze the terminal user's preference information based on the final selected scenario mode.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a scenario call method program based on intelligent scenario recommendation. When the scenario call method program based on intelligent scenario recommendation is executed by a processor, the steps of the scenario call method based on intelligent scenario recommendation as described in any one of claims 1 to 6 are implemented.

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