CN111143660A - Intelligent recommendation method and device for knowledge platform and computer readable storage medium - Google Patents
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Abstract
The invention provides an intelligent recommendation method and device for a knowledge platform and a computer readable storage medium, comprising the following steps: acquiring keywords of the knowledge and skill searching; determining a first target control logic according to the key words; displaying a recommendation result according to the first target control logic; receiving selection information of the recommendation result; determining a second target control logic according to the selection information; and establishing video connection according to the second target control logic. The method and the device recommend knowledge skills intelligently and accelerate video connection for training the knowledge skills.
Description
Technical Field
The invention belongs to the technical field of application, and particularly relates to an intelligent recommendation method and device for a knowledge platform and a computer readable storage medium.
Background
Products in the market only recommend a single action, such as trembling, from the user's attention and circle, or recommend by the popularity of a content, and recommend a content to the user as long as the content is praised for a sufficient number of times. The basic calculation method is that the display ranking is inversely proportional to the praise times, and the dynamic preferential display of the hair of people is concerned. Therefore, the prior art has the following problems:
1. the calculation method in the prior art is most common and single, and most of the calculation methods are recommended according to the popularity.
2. Content push is only carried out according to attention and popularity, and different content can not be recommended by changing different algorithms according to active role switching of a user.
Disclosure of Invention
In view of this, embodiments of the present invention provide an intelligent recommendation method and apparatus for a knowledge platform, and a computer-readable storage medium, so as to solve the problem in the prior art that a recommendation method and a push form are single.
The first aspect of the embodiment of the invention provides an intelligent recommendation method for a knowledge platform, which comprises the following steps:
acquiring keywords of the knowledge and skill searching;
determining a first target control logic according to the key words;
displaying a recommendation result according to the first target control logic;
receiving selection information of the recommendation result;
determining a second target control logic according to the selection information;
and establishing video connection according to the second target control logic.
In the intelligent recommendation method of the present invention, the determining a first target control logic according to the keyword includes:
detecting the associated information of the keywords;
judging whether a first pre-stored control logic matched with the associated information is stored or not, wherein different associated information corresponds to different first pre-stored control logic;
and if a first pre-stored control logic matched with the associated information is stored, determining the first pre-stored control logic matched with the associated information as the first target control logic.
In the intelligent recommendation method of the present invention, the sharing method, which displays the recommendation result according to the first target control logic, includes:
acquiring a plurality of associated accounts and attribute information of the associated accounts from a server according to the first target control logic;
sequencing the plurality of associated accounts according to the attribute information;
and displaying the recommendation result in a sorting mode.
In the intelligent recommendation method of the present invention, the receiving selection information of the recommendation result includes:
selection information is received selecting one of the plurality of associated accounts.
In the intelligent recommendation method of the present invention, the determining a second target control logic according to the selection information includes:
searching the selected associated account according to the selection information;
judging whether second pre-stored control logic matched with the associated account is stored or not, wherein different associated accounts correspond to different second pre-stored control logic;
and if a second pre-stored control logic matched with the associated account is stored, determining the second pre-stored control logic matched with the associated account as the second target control logic.
In the intelligent recommendation method of the present invention, the establishing a video connection according to the second target control logic includes:
acquiring a video connection mode of the selected associated account according to the second target control logic;
and establishing video connection with the selected associated account according to the video connection mode.
In one aspect, an intelligent recommendation device for a knowledge platform is provided, the intelligent recommendation device comprising:
the keyword acquisition module is used for acquiring keywords of the knowledge and skill searching;
the first determining module is used for determining a first target control logic according to the keyword;
the display module is used for displaying a recommendation result according to the first target control logic;
the receiving module is used for receiving the selection information of the recommendation result;
the second determining module is used for determining a second target control logic according to the selection information;
and the video connection module is used for establishing video connection according to the second target control logic.
The intelligent recommendation device further comprises a detection module, a first judgment module and a first storage module;
the detection module is used for detecting the associated information of the keywords;
the first judging module is used for judging whether a first pre-stored control logic matched with the associated information is stored or not;
the first storage module is used for corresponding different associated information to different first pre-stored control logics;
the first determining module is further configured to determine, when a first pre-stored control logic matching the associated information is stored, the first pre-stored control logic matching the associated information as the first target control logic.
The intelligent recommendation device further comprises an information acquisition module, a sorting module, a searching module, a second judgment module, a second storage module and a connection acquisition module;
the information acquisition module is used for acquiring a plurality of associated accounts and attribute information of the associated accounts from a server according to the first target control logic;
the sorting module is used for sorting the plurality of associated accounts according to the attribute information;
the display module is also used for displaying the recommendation result in a sorting mode;
the receiving module is further used for receiving selection information for selecting one of the associated accounts;
the searching module is used for searching the selected associated account according to the selection information;
the second judgment module is used for judging whether a second pre-stored control logic matched with the associated account is stored or not;
the second storage module is used for storing different associated accounts corresponding to different second pre-stored control logics;
the second determining module is further used for determining a second pre-stored control logic matched with the associated account as the second target control logic when the second pre-stored control logic matched with the associated account is stored;
the connection acquisition module is used for acquiring the video connection mode of the selected associated account according to the second target control logic;
the video connection module is also used for establishing video connection with the selected associated account according to the video connection mode.
In one aspect, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the sharing method as described in any one of the above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the knowledge skill is recommended intelligently, and the video connection for training the knowledge skill is accelerated.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic flow chart diagram of an embodiment of an intelligent recommendation method for a knowledge platform of the present invention;
FIG. 2 is a flow chart of another embodiment of the intelligent recommendation method of the knowledge platform of the invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
In the embodiment of the invention, the target component of the target page to be generated is determined based on the template component by acquiring the software development requirement and according to the software development requirement on the preset page frame template. The target component comprises at least one of an adjusting component obtained by modification based on the template component, a new component created based on the template component and a component to be replaced determined based on the template component, and the reserved template component and the generated target component are assembled in the page basic frame template to form a target page based on the component name and the position information of the target component. Because software is developed based on the preset page basic frame template, a large amount of manpower is not required to be invested to develop the page from the beginning, and the expected result can be completed only by replacing, modifying or newly adding components, so that the development efficiency is greatly improved, and the development cost is greatly reduced. Meanwhile, the problem of browser compatibility does not need to be considered based on the preset page basic frame template, and the development difficulty is reduced. In addition, the page is modularized and configured, the target page is formed by building blocks of the modules, and the modification of the page is realized by modifying the configuration file of the template module, so that the method is extremely flexible.
In the embodiment of the present invention, the main execution body of the process is a terminal device, and the terminal device includes, but is not limited to, a notebook computer, a server, a tablet computer, a smart phone, and other terminal devices having a software development function. In particular, the terminal device can be used for providing a load-bearing function or a front-end interface display of the desktop application for the native application when executing the process in the implementation of the present invention, and providing an interface assembly framework for the desktop application.
FIG. 1 is a schematic flow chart diagram of an embodiment of an intelligent recommendation method for a knowledge platform of the present invention; as shown in fig. 1, the present invention provides an intelligent recommendation method, which includes steps S1-S6:
and S1, acquiring keywords of the search knowledge skills.
In this embodiment, a terminal device, such as a mobile terminal, receives a keyword input by a user, such as: english, mathematics, etc.
And S2, determining a first target control logic according to the key words.
In this embodiment, after the keyword is input, the corresponding search result is matched according to the keyword, and the search result is a user who can provide a service related to the keyword for teaching.
And S3, displaying a recommendation result according to the first target control logic.
In this embodiment, the search result is displayed according to a preset algorithm.
And S4, receiving the selection information of the recommendation result.
In this embodiment, the user selects one of the recommendation results as a target teaching providing user through the terminal device.
And S5, determining a second target control logic according to the selection information.
In this embodiment, after the user selects the lecture providing user, the video connection mode of the lecture providing user is queried.
And S6, establishing video connection according to the second target control logic.
In the embodiment, the video connection between the user and the selected teaching providing user is established, so that the teaching providing user can provide remote video teaching service for the user.
Different from the prior art, the application provides an intelligent recommendation method for a knowledge platform, and the intelligent recommendation method for the knowledge platform comprises the following steps: acquiring keywords of the knowledge and skill searching; determining a first target control logic according to the key words; displaying a recommendation result according to the first target control logic; receiving selection information of the recommendation result; determining a second target control logic according to the selection information; and establishing video connection according to the second target control logic. The method and the device recommend knowledge skills intelligently and accelerate video connection for training the knowledge skills.
For a more clear description of the intelligent recommendation method of the present application, please refer to fig. 2, and fig. 2 is a schematic flowchart of another embodiment of the intelligent recommendation method of the knowledge platform of the present invention.
As shown in fig. 2, the specific process of the sharing method is as follows:
s201, obtaining keywords of the knowledge and skill searching.
In this embodiment, a terminal device, such as a mobile terminal, receives a keyword input by a user, such as: english, mathematics, etc.
S202, detecting the associated information of the keywords.
In this embodiment, the keyword is usually associated with corresponding classification information, and if the user age is 20 years, the associated information is to search for the keyword in a university.
S203, judging whether a first pre-stored control logic matched with the associated information is stored, wherein different associated information corresponds to different first pre-stored control logic.
In this embodiment, whether a search result corresponding to the keyword can be searched through the related information, for example, if the user is 20 years old and "mathematics" is searched, whether a teaching service providing a corresponding subject of "mathematics" in university can be searched for in a user providing a teaching service of university, and if the search result can be searched, the search result is further refined into higher mathematics or linear algebra or other related mathematical subjects.
S204, if a first pre-stored control logic matched with the associated information is stored, determining the first pre-stored control logic matched with the associated information as the first target control logic.
In this embodiment, after the keyword is input, the corresponding search result is matched according to the keyword, and the search result is a user who can provide a service related to the keyword for teaching.
S205, sorting the plurality of associated accounts according to the attribute information.
In the embodiment, keywords related to titles are sent to the server according to the type titles of questions once answered by the user or the types of titles of knowledge skills issued by the user, the keywords are stored in the server, when the user logs in at the front end, the keywords are comprehensively ranked according to the number of times that the stored keywords are answered by the user and the number of times that the shared knowledge skills are issued, the questions with high prices or the shared excellent knowledge skills are preferentially recommended to a certain user according to the user level, and contents are preferentially recommended to the equipment terminal for showing the hottest keywords of the individual. The displayed keywords with the same content are sequenced according to the number of times of using the keywords.
And S206, displaying the recommendation result in a sorting form.
In this embodiment, the top ranked users will be highlighted. When the user logs in for the first time, the system recommends according to the total content heat, and when the user is in a login state, if the content is not searched, the recommendation is carried out according to the condition that the content is not logged in. If the user has logged in and has used the keyword to post help or share. The system recommends the relevant content to the user according to the algorithm so as to improve the user experience.
S207, receiving selection information for selecting one of the associated accounts.
In this embodiment, the user selects one of the recommendation results as a target teaching providing user through the terminal device.
S208, searching the selected associated account according to the selection information.
In this embodiment, the introduction page entering the associated account is selected by clicking.
S209, judging whether a second pre-stored control logic matched with the associated account is stored, wherein different associated accounts correspond to different second pre-stored control logic.
In this embodiment, if the associated account is selected, the server searches for the online status of the selected associated account. If the mobile terminal is on line, the mobile terminal directly informs that the mobile terminal is selected, and if the mobile terminal is not on line, the mobile terminal informs that the mobile terminal is on line through other modes.
S210, if a second pre-stored control logic matched with the associated account is stored, determining the second pre-stored control logic matched with the associated account as the second target control logic.
In this embodiment, if the associated account is online, the video connection may be performed in the next step.
S211, acquiring the video connection mode of the selected associated account according to the second target control logic.
In this embodiment, the video connection mode is obtained through video connection of other software or video connection provided by the APP of the user, and if the video connection mode is a video connection call connected to other software, the video connection mode is realized by writing a corresponding script.
S212, establishing video connection with the selected associated account according to the video connection mode.
In the embodiment, the video connection between the user and the selected teaching providing user is established, so that the teaching providing user can provide remote video teaching service for the user.
Different from the prior art, the application provides an intelligent recommendation method for a knowledge platform, and the intelligent recommendation method for the knowledge platform comprises the following steps: acquiring keywords of the knowledge and skill searching; determining a first target control logic according to the key words; displaying a recommendation result according to the first target control logic; receiving selection information of the recommendation result; determining a second target control logic according to the selection information; and establishing video connection according to the second target control logic. The method and the device recommend knowledge skills intelligently and accelerate video connection for training the knowledge skills.
The application also provides an intelligent recommendation device of the knowledge platform, which comprises a keyword acquisition module, a first determination module, a display module, a receiving module, a second determination module, a video connection module, a detection module, a first judgment module, a first storage module, an information acquisition module, a sorting module, a search module, a second judgment module, a second storage module and a connection acquisition module.
The keyword acquisition module is used for acquiring keywords of the knowledge and skill searching;
the first determining module is used for determining a first target control logic according to the keyword;
the display module is used for displaying a recommendation result according to the first target control logic;
the receiving module is used for receiving the selection information of the recommendation result;
the second determining module is used for determining a second target control logic according to the selection information;
and the video connection module is used for establishing video connection according to the second target control logic.
The detection module is used for detecting the associated information of the keywords;
the first judging module is used for judging whether a first pre-stored control logic matched with the associated information is stored or not;
the first storage module is used for corresponding different associated information to different first pre-stored control logics;
the first determining module is further configured to determine, when a first pre-stored control logic matching the associated information is stored, the first pre-stored control logic matching the associated information as the first target control logic.
The information acquisition module is used for acquiring a plurality of associated accounts and attribute information of the associated accounts from a server according to the first target control logic;
the sorting module is used for sorting the plurality of associated accounts according to the attribute information;
the display module is also used for displaying the recommendation result in a sorting mode;
the receiving module is further used for receiving selection information for selecting one of the associated accounts;
the searching module is used for searching the selected associated account according to the selection information;
the second judgment module is used for judging whether a second pre-stored control logic matched with the associated account is stored or not;
the second storage module is used for storing different associated accounts corresponding to different second pre-stored control logics;
the second determining module is further used for determining a second pre-stored control logic matched with the associated account as the second target control logic when the second pre-stored control logic matched with the associated account is stored;
the connection acquisition module is used for acquiring the video connection mode of the selected associated account according to the second target control logic;
the video connection module is also used for establishing video connection with the selected associated account according to the video connection mode.
In addition, the terminal device in the present application includes: a processor, a memory, and a computer program, such as a software development program, stored in the memory and executable on the processor. The processor, when executing the computer program, implements the steps in the above embodiments, such as steps S1 to S6 shown in fig. 1. Alternatively, the processor implements the functions of the modules/units in the above device embodiments when executing the computer program.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the terminal device.
The terminal device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the present embodiment is only an example of a terminal device, and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device. Further, the memory may also include both an internal storage unit and an external storage device of the terminal device. The memory is used for storing the computer program and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An intelligent recommendation method for a knowledge platform, the intelligent recommendation method comprising:
acquiring keywords of the knowledge and skill searching;
determining a first target control logic according to the key words;
displaying a recommendation result according to the first target control logic;
receiving selection information of the recommendation result;
determining a second target control logic according to the selection information;
and establishing video connection according to the second target control logic.
2. The intelligent recommendation method according to claim 1, wherein said determining a first target control logic according to the keyword comprises:
detecting the associated information of the keywords;
judging whether a first pre-stored control logic matched with the associated information is stored or not, wherein different associated information corresponds to different first pre-stored control logic;
and if a first pre-stored control logic matched with the associated information is stored, determining the first pre-stored control logic matched with the associated information as the first target control logic.
3. The intelligent recommendation method according to claim 1, wherein the sharing method, which shows the recommendation result according to the first target control logic, comprises:
acquiring a plurality of associated accounts and attribute information of the associated accounts from a server according to the first target control logic;
sequencing the plurality of associated accounts according to the attribute information;
and displaying the recommendation result in a sorting mode.
4. The intelligent recommendation method according to claim 3, wherein the receiving selection information of the recommendation result comprises:
selection information is received selecting one of the plurality of associated accounts.
5. The intelligent recommendation method according to claim 4, wherein said determining a second target control logic according to the selection information comprises:
searching the selected associated account according to the selection information;
judging whether second pre-stored control logic matched with the associated account is stored or not, wherein different associated accounts correspond to different second pre-stored control logic;
and if a second pre-stored control logic matched with the associated account is stored, determining the second pre-stored control logic matched with the associated account as the second target control logic.
6. The intelligent recommendation method according to claim 5, wherein said establishing a video connection according to the second target control logic comprises:
acquiring a video connection mode of the selected associated account according to the second target control logic;
and establishing video connection with the selected associated account according to the video connection mode.
7. An intelligent recommendation device for a knowledge platform, the intelligent recommendation device comprising:
the keyword acquisition module is used for acquiring keywords of the knowledge and skill searching;
the first determining module is used for determining a first target control logic according to the keyword;
the display module is used for displaying a recommendation result according to the first target control logic;
the receiving module is used for receiving the selection information of the recommendation result;
the second determining module is used for determining a second target control logic according to the selection information;
and the video connection module is used for establishing video connection according to the second target control logic.
8. The intelligent recommendation device according to claim 7, further comprising a detection module, a first judgment module and a first storage module;
the detection module is used for detecting the associated information of the keywords;
the first judging module is used for judging whether a first pre-stored control logic matched with the associated information is stored or not;
the first storage module is used for corresponding different associated information to different first pre-stored control logics;
the first determining module is further configured to determine, when a first pre-stored control logic matching the associated information is stored, the first pre-stored control logic matching the associated information as the first target control logic.
9. The intelligent recommendation device according to claim 7, further comprising an information acquisition module, a sorting module, a search module, a second judgment module, a second storage module and a connection acquisition module;
the information acquisition module is used for acquiring a plurality of associated accounts and attribute information of the associated accounts from a server according to the first target control logic;
the sorting module is used for sorting the plurality of associated accounts according to the attribute information;
the display module is also used for displaying the recommendation result in a sorting mode;
the receiving module is further used for receiving selection information for selecting one of the associated accounts;
the searching module is used for searching the selected associated account according to the selection information;
the second judgment module is used for judging whether a second pre-stored control logic matched with the associated account is stored or not;
the second storage module is used for storing different associated accounts corresponding to different second pre-stored control logics;
the second determining module is further used for determining a second pre-stored control logic matched with the associated account as the second target control logic when the second pre-stored control logic matched with the associated account is stored;
the connection acquisition module is used for acquiring the video connection mode of the selected associated account according to the second target control logic;
the video connection module is also used for establishing video connection with the selected associated account according to the video connection mode.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the sharing method according to any one of claims 1 to 6.
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