CN114942988A - Recommendation method and device, electronic equipment and storage medium - Google Patents
Recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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Abstract
The application provides a recommendation method, a recommendation device, electronic equipment and a storage medium, wherein the method is applied to a recommendation system installed in an intelligent user terminal, and comprises the following steps: obtaining a first keyword corresponding to a text input by a user; obtaining a corresponding target scene according to the first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a recommendation method, an apparatus, an electronic device, and a storage medium.
Background
Along with more and more users who use lattice force intelligent terminal, use "lattice force +" APP in order to realize more and more users to lattice force intelligent terminal control. The user generally sets a scene on the "strength +" APP according to the living habits of the user, and at present, the "strength +" APP can only carry out application recommendation of a single function aiming at the scene set by the user, for example, the user sends an instruction: "the gridlike air conditioner, I want to sleep", the gridlike intelligent terminal only can open the sleep scene that the user set for, and can't carry out relevant recommendation based on current environment for can't satisfy user's multilayer demand.
Disclosure of Invention
The recommendation method, the recommendation device, the electronic equipment and the storage medium are provided for solving the problems in the related art, and by pre-establishing a plurality of functional scenes, displaying first display content corresponding to a target scene after acquiring a first keyword input by a user, and displaying second display content in a display interface of the intelligent terminal according to a current environment parameter and a current user using state, multiple possible recommendations are given to the user according to conditions such as user requirements, user using states and user habits, the recommendation scenes and functions are enriched, and thus multi-level requirements of the user are met.
The application provides a recommendation method, which is applied to a recommendation system installed in an intelligent user terminal and comprises the following steps:
obtaining a first keyword corresponding to a text input by a user;
obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
According to the content, the first display content corresponding to the target scene obtained according to the first keyword is displayed, and intelligent recommendation is also performed according to the current environment information and the user using state, so that multi-level application scene recommendation is realized, and multi-level requirements of the user are met.
In some embodiments, the extension of the first display content by the second display content based on the same first keyword means: and recommending other product functions based on the same keyword except for the corresponding product function in the first display content.
In some embodiments, obtaining keywords corresponding to text input by a user comprises:
monitoring the characters currently input by a user in a recommendation system of the intelligent terminal, and extracting a first keyword; or
And monitoring the voice currently input by the user in the recommendation system of the intelligent terminal, and extracting a first keyword.
In some embodiments, prior to said obtaining a first keyword corresponding to text input by a user, the method further comprises:
clustering a plurality of texts to obtain a second keyword group with a preset number of second keywords;
and developing and storing the scenes corresponding to each second keyword one by one.
In some embodiments, obtaining a corresponding target scene according to the first keyword, and displaying a first display content corresponding to the target scene in a display interface of the intelligent terminal includes:
judging whether the first keyword exists in the second keyword group;
if yes, acquiring a corresponding target scene, and displaying first display content corresponding to the target scene in a display interface of the intelligent terminal;
and if not, adding the first keyword into the second keyword group, and developing and storing the corresponding scene.
In some embodiments, the method further comprises:
and responding to the first user operation of the user, and displaying third display content corresponding to the product function added or deleted by the user in a display interface of the intelligent terminal.
In some embodiments, the method further comprises:
and responding to a second user operation of the user, and respectively displaying fourth display contents corresponding to the product functions set by each management user in the plurality of management users on a display interface of the intelligent terminal.
An embodiment of the present application provides a recommendation device, including:
the obtaining module is used for obtaining a first keyword corresponding to a text input by a user;
the display module is used for obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the electronic device executes any one of the recommendation methods described above.
The present application provides a storage medium storing a computer program, which can be executed by one or more processors, and can be used to implement any one of the recommendation methods described above.
According to the recommendation method, the recommendation device, the electronic equipment and the storage medium, the plurality of functional scenes are established in advance, the first display content corresponding to the target scene is displayed after the first keyword input by the user is acquired, the second display content is displayed in the display interface of the intelligent terminal according to the current environmental parameter and the current user using state, the recommendation method, the recommendation device, the electronic equipment and the storage medium can give multiple possibility recommendations to the user according to the conditions such as user requirements, the user using state and the user habits, the recommendation scenes and the recommendation functions are enriched, and therefore the multi-level requirements of the user are met.
Drawings
The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart illustrating an implementation of a recommendation method according to an embodiment of the present application;
fig. 2 is a schematic application flow diagram of a recommendation method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a recommendation device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the accompanying drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without making creative efforts fall within the protection scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
The following description will be added if a similar description of "first \ second \ third" appears in the application file, and in the following description, the terms "first \ second \ third" merely distinguish similar objects and do not represent a specific ordering for the objects, and it should be understood that "first \ second \ third" may be interchanged under certain circumstances in a specific order or sequence, so that the embodiments of the application described herein can be implemented in an order other than that shown or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
Based on the problems in the related art, an embodiment of the present application provides a recommendation method, where the method is applied to an electronic device, and the electronic device may be specifically a mobile phone, a tablet Computer, a television (also referred to as a smart screen, a large screen device, and the like), a notebook Computer, an Ultra-mobile Personal Computer (UMPC), a handheld Computer, a netbook, a Personal Digital Assistant (PDA), a wearable electronic device, a vehicle-mounted device (also referred to as a car machine), a virtual reality device, and the like, and the method is not limited in this respect. The functions realized by the recommendation method provided by the embodiment of the application can be realized by calling a program code by a processor of the electronic equipment, wherein the program code can be stored in a computer storage medium.
An embodiment of the present application provides a recommendation method, and fig. 1 is a schematic implementation flow diagram of the recommendation method provided in the embodiment of the present application, and as shown in fig. 1, the recommendation method includes:
step S1: obtaining a first keyword corresponding to a text input by a user;
step S2: obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
The following describes the specific interaction process of the recommendation method in detail.
Step S1: a first keyword corresponding to text input by a user is obtained.
In the embodiment of the present application, obtaining a keyword corresponding to a text input by a user includes: monitoring characters currently input by a user in a recommendation system of the intelligent terminal, and extracting a first keyword; or monitoring the voice currently input by the user in the recommendation system of the intelligent terminal, and extracting the first keyword.
In the embodiment of the application, the recommendation system is a 'strong plus' APP recommendation system installed on an intelligent terminal of a user. The user can input characters or voice in the 'lattice force +' APP recommendation system to input current requirements to conduct relevant searching, and the 'lattice force +' APP recommendation system extracts first keywords through texts input by the user and conducts accurate recommendation around the first keywords.
It should be noted that, the lattice force + APP can control a corresponding lattice force intelligent terminal, such as an air conditioner, a refrigerator, an electric heater, a fan or a washing machine. Through installing and carrying out relevant user operation on the display interface of "lattice force +" APP at user intelligent terminal, can realize corresponding lattice force intelligent terminal's control.
It should be noted that, except that the user can set up the relevant product function on "lattice + APP", can also directly pronunciation awaken relevant lattice intelligent terminal, say "lattice air conditioner, i have some cold" directly to lattice air conditioner, lattice air conditioner can turn up air conditioner temperature automatically to ask whether need open other intelligent device in addition. Therefore, besides entering scene recommendation through the lattice force plus APP, related scene recommendation can be directly entered through a mode of waking up the lattice force intelligent terminal through voice.
As a possible implementation, before obtaining the first keyword corresponding to the text input by the user, the method further includes: clustering a plurality of texts to obtain a second keyword group with a preset number of second keywords; and carrying out scene development corresponding to each second keyword one to one, and storing.
Specifically, the 'strong +' APP background continuously accumulates user living texts and entries, and the 'strong +' APP recommendation system collects multiple similar texts and gives multiple possible recommendations to the user according to the user requirements, the user using state, the user habits and other conditions; that is, the purpose of text aggregation is to provide a user with a choice of more functional scenarios, think of the user's direct needs and potential needs according to the text provided by the user, focus on the user's clothes and eating habits, and give the user product use, family energy-saving advice, and the like.
For example, according to the keyword of 'cold', the user can be connected with heating, temperature, cautions, water heater temperature and the like, the personal and family requirements of the user can be met comprehensively, and the intelligent life of the user can be started. For another example, the user searches an energy-saving mode in the "strong +" APP, and the "strong +" APP recommends a relevant electric appliance electricity utilization report to the user and recommends the turn-on time of various electric appliances at various times according to the living habits of the user. It should be noted that, in the early stage of text aggregation, the user feedback needs to be collected together through investigation, and finally, the functional implementation is performed by developing a write program.
In the embodiment of the application, scene development corresponding to each second keyword is performed, and the corresponding scene development corresponds to multiple preset scene modes and function scenes. The multiple scene modes include: the sleep mode, the getting-up mode, the comfortable sleep mode, the energy-saving mode, the intelligent menu and the like meet various choices of the user around life requirements relevant to life information of the user, and converge various life scenes, so that the multifunctional intelligent menu is convenient for searching and recommending in the 'strong plus' APP; the functional scenes comprise corresponding functional scene development on application scenes such as cold scenes or hot scenes.
For example, the get up mode is: the curtain is opened, the air conditioner is closed, the light is turned on at seven morning, and the like, and the sleep mode is to turn off the light and close the curtain at 10 evening. And the development of the cold scene corresponds to the situation that the lattice air conditioner is started, and inquires whether a user needs to start an electric heater, or start an air conditioner heating mode, or start a winter mode, so as to realize linkage of related scenes.
Step S2: obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
Specifically, the extension of the second display content to the first display content based on the same first keyword means that: and recommending other product functions based on the same keyword except for the corresponding product function in the first display content.
Obtaining a corresponding target scene according to the obtained first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, wherein the first display content corresponds to a specific scene mode, if a user inputs 'lattice air conditioner, i get up' and correspondingly start the get-up mode, and displaying product functions and/or product settings corresponding to the get-up mode in the display interface of the intelligent terminal.
In this embodiment of the present application, obtaining a corresponding target scene according to a first keyword, and displaying a first display content corresponding to the target scene in a display interface of the intelligent terminal, includes: judging whether the first keyword exists in the second keyword group; if yes, acquiring a corresponding target scene, and displaying first display content corresponding to the target scene in a display interface of the intelligent terminal; and if not, adding the first keyword into the second keyword group, and developing and storing the corresponding scene.
If the first keyword exists in the second keyword group, namely the first keyword and the second keyword are matched, displaying a scene corresponding to the second keyword in a display interface of the intelligent terminal; if the first keyword does not exist in the second keyword group, the first keyword is added into the second keyword group, and the related scene development is carried out on the keyword.
The text clustering method based on the lattice force plus APP can realize that more layers of recommended relevant content are displayed on the basis of the first display content corresponding to the target scene. For example, the user inputs "lattice force air conditioner, i get up", the get up mode is correspondingly turned on, a product function corresponding to the get up mode is displayed on a display interface of the intelligent terminal as first display content, and specifically, the first display content includes: opening the curtain, closing the air conditioner and opening the light at seven points in the morning; meanwhile, second display content is displayed in a display interface of the intelligent terminal according to the current environment parameters and the current user using state, and the second display content comprises: the sleep report is sent by the intelligent vitality terminal, and the user is given sleep and diet suggestions.
Specifically, second display content is displayed in a display interface of the intelligent terminal according to the current environment parameters and the current user using state. For example, it is recommended for the user whether the humidifier needs to be turned on or whether the air cleaner needs to be turned on, depending on the current environmental parameters. For another example, the user inputs that "i want to sleep", "the lattice force +" APP makes corresponding adjustments according to the device setting in the sleep mode, and also asks whether to start sleep music according to the time point in the current user use state; and advising to turn on the humidifier, advising to turn on the purifier, etc., based on current environmental parameters.
It is to be understood that the first display content is content of product functions or product settings directly around the keywords, and the second display content is content of related product functions or product settings diverged based on the keywords. Multiple scene modes are arranged in the 'format +' APP, and a user can set in advance according to own habits, or the 'format +' APP recommends user settings according to the use habits of the user, so that the setting of first display content is completed; subsequent recommendations can be extended in relation to the user's appeal to complete the setting of the second display content. For example, when the user inputs 'i want to sleep', the user only starts the sleep scene set by the user before, and now recommends the user to start the humidifier according to the current temperature and humidity, or the user is advised to turn off the humidifier when the humidifier is originally started and the current humidity is higher.
As can be understood from the above description, extended recommendation based on the user's needs is implemented according to the habit of the user using the "strength plus" APP for a long time, the currently input text of the user, and the comprehensive data of the historical search. The user searches on "vigor +" APP or awakens the needs that the vigor voice air conditioner provided oneself through pronunciation awaken, say that the user input "I has warmed up", the appropriate temperature can be transferred to the vigor voice air conditioner, ask simultaneously need not open air purifier or humidifier, keep indoor humidity and air quality, simultaneously, the wisdom menu of "vigor +" APP can recommend the preparation menu of relevant cool drink to give the user, above-mentioned process has carried out direct recommendation to user's demand and has carried out the extension recommendation to user's demand.
The user selects and determines the first display content and the second display content on the intelligent terminal in a related manner, so that the process not only realizes the extension recommendation of the system to the user, but also realizes the control of a plurality of intelligent terminals while the user completes the operation.
As a possible implementation, the method further comprises:
and responding to the first user operation of the user, and displaying third display content corresponding to the product function added or deleted by the user in a display interface of the intelligent terminal.
Specifically, the user carries out self-defined setting in a 'strength plus' APP recommendation system of the user, personalized and personalized customized recommendation is achieved, and therefore intelligent application scenes are recommended to the user more accurately and abundantly. Therefore, the user can add a plurality of strength intelligent terminal devices in self-defined "strength +" APP so as to carry out linkage recommendation, or the user can delete a plurality of strength intelligent terminal devices in self-defined "strength +" APP. By responding to the first user operation of deleting or adding the device by the user, third display content corresponding to the product function added or deleted by the user in a user-defined manner is displayed in a display interface of the intelligent terminal, so as to control the running state of the relevant intelligent terminal device, wherein the third display content may be the same as or different from the first display content or the second display content, and no specific limitation is made herein.
That is to say, the user can carry out function setting and use setting to a plurality of strength intelligent terminal according to the use habit of oneself in "strength +" APP, also can accept the intelligent scene of recommending in the "strength +" APP recommendation system and set up. In the embodiment of the application, the related recommendation is preferentially carried out based on user-defined setting, and if the user does not carry out the user-defined setting, the related recommendation is carried out according to an intelligent scene preset in the "strong plus" APP recommendation system.
It is easy to understand that different user-defined settings correspond to different third display contents, that is, the third display contents have a one-to-one correspondence with the first user operation of the user.
As a possible implementation, the method further comprises:
and responding to a second user operation of the user, and respectively displaying fourth display contents corresponding to the product functions set by each user in the plurality of users on a display interface of the intelligent terminal.
In detail, the 'strength plus' APP recommendation system has a family management function so as to be familiar with the constitution and the mode of the family members of the user, namely, the 'strength plus' APP recommendation system has a function of inviting the family members, any one of the family members is provided with a plurality of related strength intelligent terminal devices, and other family members can join in the family through the 'strength plus' APP of the other family members to control the plurality of strength intelligent terminal devices.
Specifically, each family member can issue a control instruction to the lattice force intelligent terminal device through the lattice force plus APP, so that the relevant devices and scenes are recommended. That is to say, every family member all can become the administrator of "literacy +" APP, and every family member's own "literacy +" APP can record family member's habit and instruction alone and save to realize "literacy +" APP system can save every family member's use habit and set up preference etc. through switching over different administrative user's account, realize family member and the one-to-one relation that intelligence was recommended.
By responding to the second user operation of the family management operation of the user, the fourth display content corresponding to the product function set by each user in the plurality of users can be correspondingly displayed on the display interface of the intelligent terminal, so that the running states of the plurality of the intelligent terminals are controlled.
For example, a user with a child, a lattice force air conditioner and a lattice force plus APP recommendation system can perform relevant device recommendation suitable for the child according to search of the user, or perform relevant mode recommendation or reminding according to an existing household appliance of the user, so that the user can acquire information and demands more conveniently.
Referring to fig. 2, fig. 2 is a schematic view of an implementation flow of the recommendation method according to an embodiment of the present application. A user inputs a text in a lattice + APP to trigger a relevant entry and a keyword thereof to enter a lattice + APP scene recommendation, or directly triggers the relevant entry and the keyword thereof to enter the scene recommendation in a mode of waking up lattice intelligent air-conditioning voice by voice; and judging whether the user selects a relevant intelligent scene according to the requirement of the user in the multiple scene recommendations, if so, enabling the intelligent scene and a plurality of lattice intelligent terminals corresponding to the keyword extension recommendations input by the user to enter an operating state, finishing the operation of the user, and if not, executing the requirement of the current equipment.
The lattice force intelligent home is basically the control and adjustment of relevant lattice force intelligent household appliances around the living lives of users and families, so that more intelligent, convenient and comfortable healthy families are provided for the users. Therefore, in the embodiment of the application, the text clustering method is mainly recommended around the living habits of the user in daily living, for example, the user inputs that "i am hot", and the corresponding recommendation is not only to turn on an air conditioner, but also to a series of temperature, humidity, air conditioning and summer heat prevention suggestions.
In the description process, keyword with a preset number is obtained through aggregation processing of the background text entries of the "strong plus" APP, then multi-function scene development is carried out on each keyword, multiple function scenes are triggered according to related texts input by a user, and related recommendation and extension recommendation are given to a client.
Referring to fig. 3, an embodiment of the present application provides a recommendation device 10, which includes:
an obtaining module 110, configured to obtain a first keyword corresponding to a text input by a user;
the display module 120 is configured to obtain a corresponding target scene according to a first keyword, display first display content corresponding to the target scene in a display interface of the intelligent terminal, and display second display content in the display interface of the intelligent terminal according to a current environmental parameter and a current user usage state, where the second display content is an extension of the first display content based on the same first keyword, where the environmental parameter includes a temperature parameter, a humidity parameter, and a particulate matter concentration parameter, and the user usage state includes: the current time of use.
To sum up, the embodiments of the present application provide a variety of recommendation methods, apparatuses, electronic devices, and storage media, where the method is applied to a recommendation system installed in an intelligent terminal of a user, and the method includes: obtaining a first keyword corresponding to a text input by a user; obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
It should be noted that, in the embodiment of the present application, if the recommendation method is implemented in the form of a software functional module and sold or used as a standalone product, the recommendation method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Accordingly, an embodiment of the present application provides a storage medium, on which a computer program is stored, wherein the computer program is executed by a processor to implement the steps in the recommendation method provided in the above embodiment.
Referring to fig. 4, an electronic device according to an embodiment of the present application is provided, and fig. 4 is a schematic structural diagram of the electronic device according to the embodiment of the present application, and as shown in fig. 4, the electronic device 500 includes: a processor 501, at least one communication bus 502, a user interface 503, at least one external communication interface 504, and a memory 505. Wherein the communication bus 502 is configured to enable connective communication between these components. The user interface 503 may include a display screen, and the external communication interface 504 may include a standard wired interface and a wireless interface, among others. The processor 501 is configured to execute a program of the recommendation method stored in the memory to implement the steps in the recommendation method provided in the above embodiments.
The above description of the electronic device and storage medium embodiments, similar to the description of the method embodiments above, has similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the computer device and the storage medium of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
Here, it should be noted that: the above description of the storage medium and the electronic device embodiments is similar to the description of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described device embodiments are merely illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or in other forms.
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; can be located in one place or 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, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application, which are essentially or partly contributing 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 causing a controller to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A recommendation method is applied to a recommendation system installed in a user intelligent terminal, and is characterized by comprising the following steps:
obtaining a first keyword corresponding to a text input by a user;
obtaining a corresponding target scene according to a first keyword, displaying first display content corresponding to the target scene in a display interface of the intelligent terminal, and displaying second display content in the display interface of the intelligent terminal according to a current environment parameter and a current user use state, wherein the second display content is an extension of the first display content based on the same first keyword, the environment parameter comprises a temperature parameter, a humidity parameter and a particulate matter concentration parameter, and the user use state comprises: the current time of use.
2. The recommendation method according to claim 1, wherein the extension of the second display content to the first display content based on the same first keyword is: and recommending other product functions based on the same keyword except for the corresponding product function in the first display content.
3. The recommendation method according to claim 1, wherein the obtaining keywords corresponding to the text input by the user comprises:
monitoring the characters currently input by a user in a recommendation system of the intelligent terminal, and extracting a first keyword; or
And monitoring the voice currently input by the user in the recommendation system of the intelligent terminal, and extracting a first keyword.
4. The recommendation method according to claim 1, wherein before the obtaining the first keyword corresponding to the text input by the user, the method further comprises:
clustering a plurality of texts to obtain a second keyword group with a preset number of second keywords;
and developing and storing the scenes corresponding to each second keyword one by one.
5. The recommendation method according to claim 4, wherein the obtaining of the corresponding target scene according to the first keyword and displaying of the first display content corresponding to the target scene in the display interface of the intelligent terminal include:
judging whether the first keyword exists in the second keyword group;
if yes, acquiring a corresponding target scene, and displaying first display content corresponding to the target scene in a display interface of the intelligent terminal;
and if not, adding the first keyword into the second keyword group, and developing and storing the corresponding scene.
6. The recommendation method according to claim 1, further comprising:
and responding to the first user operation of the user, and displaying third display content corresponding to the product function added or deleted by the user in a display interface of the intelligent terminal.
7. The recommendation method according to claim 1, further comprising:
and responding to a second user operation of the user, and correspondingly displaying fourth display contents corresponding to the product functions set by each user in the plurality of users on the display interface of the intelligent terminal.
8. A recommendation device, characterized in that the device comprises: means for performing the recommendation method of any of claims 1-7.
9. An electronic device, comprising:
a memory having stored thereon a computer program which, when executed by the processor, performs the method of recommendation of any one of claims 1 to 7.
10. A storage medium storing a computer program executable by one or more processors and operable to implement a recommendation method as claimed in any one of claims 1 to 7.
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| CN202210542311.5A CN114942988A (en) | 2022-05-17 | 2022-05-17 | Recommendation method and device, electronic equipment and storage medium |
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| CN202210542311.5A CN114942988A (en) | 2022-05-17 | 2022-05-17 | Recommendation method and device, electronic equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117492379A (en) * | 2023-12-25 | 2024-02-02 | 珠海格力电器股份有限公司 | Electrical equipment function recommendation method and device, electronic equipment and electrical equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117492379A (en) * | 2023-12-25 | 2024-02-02 | 珠海格力电器股份有限公司 | Electrical equipment function recommendation method and device, electronic equipment and electrical equipment |
| CN117492379B (en) * | 2023-12-25 | 2024-04-26 | 珠海格力电器股份有限公司 | Electrical equipment function recommendation method and device, electronic equipment and electrical equipment |
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