CN113592601A - Online shopping assisting method, television and computer readable storage medium - Google Patents
Online shopping assisting method, television and computer readable storage medium Download PDFInfo
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses an online shopping auxiliary method, which is applied to display equipment and comprises the following steps: acquiring the category of goods to be purchased; according to the category of the commodity to be purchased, constructing an initial commodity model and constructing a virtual trial scene; loading the initial commodity model into the virtual trial scene; obtaining expected commodity parameters, and dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model; matching the candidate commodities according to the target commodity model, and loading the candidate commodities into the virtual trial scene to obtain a virtual trial effect; and generating an analysis report of the alternative commodity containing the virtual trial effect so that a user can complete the selection of the alternative commodity according to the analysis report. The invention enables the user to more intuitively see the trial effect of the commodity through the virtual trial scene, and provides the commodity analysis report with high reference value, so that the reliability of commodity selection is greatly improved.
Description
Technical Field
The invention relates to the technical field of online shopping, in particular to an online shopping assisting method, a television and a computer readable storage medium.
Background
In the current society, along with the popularization of the internet, online shopping has become an important shopping form in life, and the online shopping has the advantages that various commodities can be purchased online without leaving home, and the online shopping is convenient in practice. However, the existing online shopping also has many problems of being not convenient enough, not perfect enough, not intelligent enough, not humanized enough, etc., such as long time consumption, eye injury, too many categories, incapability of quick selection, incapability of obtaining more visual shopping experience by trial of commodities like off-line physical stores, incapability of distinguishing authenticity, incapability of quickly comparing the advantages and the disadvantages of various products, etc., and finally, the commodities meeting the requirements cannot be purchased.
Disclosure of Invention
The invention mainly aims to provide an online shopping auxiliary method, a television and a computer readable storage medium, and aims to solve the problem of how to more intuitively and effectively improve the reliability of commodity selection in online shopping.
In order to achieve the above object, the present invention provides an online shopping assistance method, which is applied to a display device, and includes the following steps:
acquiring the category of goods to be purchased;
according to the category of the commodity to be purchased, constructing an initial commodity model and constructing a virtual trial scene;
loading the initial commodity model into the virtual trial scene;
acquiring expected commodity parameters of the commodity category to be purchased, and dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model;
matching a preset number of alternative commodities according to the target commodity model, and loading the alternative commodities into the virtual trial scene to obtain a virtual trial effect;
and generating an analysis report of the candidate commodity containing the virtual trial effect so as to enable the current interactive object of the display equipment to complete the selection of the candidate commodity according to the analysis report.
Optionally, the step of constructing an initial commodity model and a virtual trial scene according to the category of the commodity to be purchased includes:
constructing an initial commodity model according to the categories of the commodities to be purchased;
and acquiring expected scene parameters according to the categories of the commodities to be purchased, and constructing a virtual trial scene according to the expected scene parameters.
Optionally, the step of dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model includes:
dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a plurality of expected commodity models;
and displaying a plurality of expected commodity models in the virtual trial scene, and determining a target commodity model according to the received selection instruction.
Optionally, the step of generating an analysis report of the candidate product including the virtual use effect includes:
acquiring key evaluation parameters of user portrait adaptation of a current interactive object of the display equipment;
and generating an analysis report of the alternative commodity according to the key evaluation parameters and the virtual trial effect.
Optionally, the step of constructing an initial commodity model according to the category of the commodity to be purchased, obtaining an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter includes:
if the commodity category to be purchased is a wearing article category, setting an initial commodity model as an initial wearing article commodity model, setting an expected scene parameter as the biological characteristic of a current interaction object of the display equipment, and setting a virtual trial scene as a virtual character model.
Optionally, the step of constructing an initial commodity model according to the category of the commodity to be purchased, obtaining an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter further includes:
if the goods to be purchased are intelligent household appliances or furniture goods, the initial goods model is set as an initial intelligent household appliances or furniture goods model, the expected scene parameters are set as the indoor existing layout, and the virtual trial scene is set as the virtual indoor space.
Optionally, the online shopping assistance method further includes:
and when an adjusting instruction input by the current interactive object of the display equipment is detected, adjusting the category of the commodity to be purchased and/or the expected commodity parameter according to the adjusting instruction.
Optionally, after the step of enabling the current interaction object of the display device to complete the selection of the candidate product according to the analysis report, the method includes:
and putting the selected alternative commodities into a list to be paid, and prompting the current interactive object of the display equipment to finish payment after all commodities are selected.
In addition, to achieve the above object, the present invention also provides a television comprising: the online shopping assisting method comprises a memory, a processor and an online shopping assisting program which is stored on the memory and can run on the processor, wherein the online shopping assisting program realizes the steps of the online shopping assisting method according to any one item when being executed by the processor.
In addition, to achieve the above object, the present invention further provides a computer-readable storage medium, where an online shopping assistance program is stored, and when being executed by a processor, the online shopping assistance program implements the steps of the online shopping assistance method according to any one of the above items.
According to the online shopping auxiliary method provided by the embodiment of the invention, the commodity categories are obtained, and the corresponding initial commodity model and the virtual trial scene are constructed according to different commodity categories, so that different commodity categories can be adapted to the optimal purchasing scheme; continuously correcting and perfecting the initial commodity model through the display effect of the virtual trial scene to finally obtain a target commodity model which is most matched with the user requirement, carrying out commodity matching through the target commodity model to obtain a most accordant alternative commodity, and loading the alternative commodity into the virtual trial scene to obtain a virtual trial effect; the analysis report of the candidate commodity containing the virtual trial effect is generated, so that the user can complete the selection of the candidate commodity according to the analysis report, careful service is provided for the user through the virtual shopping assistant, eye fatigue caused by long-time commodity selection of the user is avoided, the trial effect of the commodity is visually shown, and more comfortable shopping experience is provided for the user.
Drawings
FIG. 1 is a schematic diagram of a terminal \ device structure of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of the online shopping assistance method of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows:
the existing online shopping also has the problems of inconvenience, incompleteness, intelligence, humanization and the like, for example, the time consumption is long, eyes are hurt, too many categories can not be selected quickly, more visual shopping experience can not be obtained by trial products like off-line physical stores, the truth can not be distinguished, the advantages and the disadvantages of various products can not be compared quickly, and the like, so that the commodities meeting the requirements can not be purchased finally.
According to the online shopping auxiliary method provided by the embodiment of the invention, the commodity categories are obtained, and the corresponding initial commodity model and the virtual trial scene are constructed according to different commodity categories, so that different commodity categories can be adapted to the optimal purchasing scheme; continuously correcting and perfecting the initial commodity model through the display effect of the virtual trial scene to finally obtain a target commodity model which is most matched with the user requirement, carrying out commodity matching through the target commodity model to obtain a most accordant alternative commodity, and loading the alternative commodity into the virtual trial scene to obtain a virtual trial effect; the analysis report of the candidate commodity containing the virtual trial effect is generated, so that the user can complete the selection of the candidate commodity according to the analysis report, careful service is provided for the user through the virtual shopping assistant, eye fatigue caused by long-time commodity selection of the user is avoided, the trial effect of the commodity is visually shown, and more comfortable shopping experience is provided for the user.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a television, and can also be a terminal device with a display function, such as a PC, a smart phone, a tablet computer, a portable computer and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an online shopping assistance program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the online shopping assistance program stored in the memory 1005, and perform the following operations:
acquiring the category of goods to be purchased;
according to the category of the commodity to be purchased, constructing an initial commodity model and constructing a virtual trial scene;
loading the initial commodity model into the virtual trial scene;
acquiring expected commodity parameters of the commodity category to be purchased, and dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model;
matching a preset number of alternative commodities according to the target commodity model, and loading the alternative commodities into the virtual trial scene to obtain a virtual trial effect;
and generating an analysis report of the candidate commodity containing the virtual trial effect so as to enable the current interactive object of the display equipment to complete the selection of the candidate commodity according to the analysis report.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
the steps of constructing an initial commodity model and constructing a virtual trial scene according to the category of the commodity to be purchased comprise:
constructing an initial commodity model according to the categories of the commodities to be purchased;
and acquiring expected scene parameters according to the categories of the commodities to be purchased, and constructing a virtual trial scene according to the expected scene parameters.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
the step of dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model comprises:
dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a plurality of expected commodity models;
and displaying a plurality of expected commodity models in the virtual trial scene, and determining a target commodity model according to the received selection instruction.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
the step of generating an analysis report of the candidate product including the virtual use effect includes:
acquiring key evaluation parameters of user portrait adaptation of a current interactive object of the display equipment;
and generating an analysis report of the alternative commodity according to the key evaluation parameters and the virtual trial effect.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
if the commodity category to be purchased is a wearing article category, setting an initial commodity model as an initial wearing article commodity model, setting an expected scene parameter as the biological characteristic of a current interaction object of the display equipment, and setting a virtual trial scene as a virtual character model.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
if the goods to be purchased are intelligent household appliances or furniture goods, the initial goods model is set as an initial intelligent household appliances or furniture goods model, the expected scene parameters are set as the indoor existing layout, and the virtual trial scene is set as the virtual indoor space.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
and when an adjusting instruction input by the current interactive object of the display equipment is detected, adjusting the category of the commodity to be purchased and/or the expected commodity parameter according to the adjusting instruction.
Further, the processor 1001 may call the online shopping assistance program stored in the memory 1005, and further perform the following operations:
and putting the selected alternative commodities into a list to be paid, and prompting the current interactive object of the display equipment to finish payment after the commodities of all categories are selected.
Referring to fig. 2, a first embodiment of the present invention provides an online shopping assistance method, which is applied to a display device, and includes the following steps:
step S10, acquiring the category of the commodity to be purchased;
it should be noted that the commodity to be purchased is a commodity required to be purchased in the shopping demand of the user, and the category of the commodity to be purchased is a commodity category required to be purchased in the shopping demand of the user.
It should be noted that the main execution body of the present embodiment is a display device, and the display device may be a television, or may be a terminal device with a display function, such as a PC, a smartphone, a tablet computer, and a mobile computer, which is not limited in this embodiment.
The current interactive object of the display equipment is the user, a virtual shopping assistant appears on a television screen, calls are called to the user, the voice communication with the user is carried out, and the specific shopping requirements and requirements of the user are inquired. The image and sound of the virtual shopping assistant can be preset in the television software: the method can select the recommended cartoon or star character in the television system or the biological simulation character automatically generated according to the photo uploaded by the user; the voice can be selected from cartoon or star character voice recommended by the system or biological simulation voice automatically synthesized according to the recording uploaded by the user. The television records the requirements and demands of the user in the background to serve as one of the reference standards in the subsequent shopping process.
The virtual shopping assistant can sequentially execute the steps of the online shopping assisting method, but if the user needs to jump out of the current step, the virtual shopping assistant can receive the request of the user in real time, jump out of the current step and execute other executable steps according to the requirement of the user. If the types of commodities which the user needs to purchase are more, the television can be sequentially selected and operated one by one according to a default sequence. The user can call the shopping assistant at any time to help adjust the sequence of the shopping program.
If the virtual shopping assistant has determined that the user' S exact shopping needs and specifications are clear, go to step S10;
and if the virtual shopping assistant does not judge that the accurate shopping requirements and specific requirements of the user are clear, continuously inquiring the specific shopping requirements and the like of the user.
Step S20, according to the commodity category to be purchased, constructing an initial commodity model and constructing a virtual trial scene;
in this embodiment, step S20 includes:
constructing an initial commodity model according to the categories of the commodities to be purchased;
and acquiring expected scene parameters according to the categories of the commodities to be purchased, and constructing a virtual trial scene according to the expected scene parameters.
It can be understood that the television automatically classifies the types of commodities required to be purchased, automatically selects and prepares to start a network purchasing program of the commodities required to be purchased, the network purchasing program constructs an initial commodity model according to the types of the commodities required to be purchased, the initial commodity model is a virtual model constructed based on the types of the commodities required to be purchased and is used for intuitively displaying the purchasing requirements of the user, and simultaneously constructs a virtual trial scene, the virtual trial scene is a virtual scene constructed based on the types of the commodities required to be purchased, and the user intuitively displays the commodity model and the trial effect of the commodities to the user.
It should be noted that the expected scene parameters are obtained based on the analysis of the types of the commodities to be purchased, and are used as a key basis for constructing a virtual trial scene, and information acquisition is required to be performed through a camera.
Step S30, loading the initial commodity model into the virtual trial scene;
it can be understood that the initial commodity model needs to be placed in the corresponding position in the virtual trial scene to visually display the trial effect to the user, so a process of loading the initial commodity model into the virtual trial scene is needed.
Step S40, obtaining expected commodity parameters of the commodity category to be purchased, and dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model;
in this embodiment, the step of dynamically adjusting the initial commodity model according to the expected commodity parameters in step S40 to obtain a target commodity model includes:
dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a plurality of expected commodity models;
and displaying a plurality of expected commodity models in the virtual trial scene, and determining a target commodity model according to the received selection instruction.
It should be noted that the expected commodity parameters are detailed requirements of the virtual shopping assistant and the user for communicating and confirming the brand, size, color, price and the like of the required commodity, the initial commodity model constructed in the previous steps is dynamically adjusted according to the detailed requirements, the dynamic adjustment refers to that the initial commodity model is corrected according to different brands, sizes, colors and prices, each different collocation is used as an expected commodity model, the television sets are used for sorting and analyzing the requirements of the user in the background, a camera is started to collect information to construct a virtual trial scene, the expected commodity model is placed in the corresponding position in the virtual trial scene, various optimized purchasing schemes are given to the user, the user can select the required purchasing scheme according to the display effect and the special requirements and preferences of the user, and the expected purchasing scheme selected by the user can be selected by the virtual shopping assistant after receiving the selection instruction of the user The commodity model is determined as a target commodity model.
In this embodiment, the online shopping assistance method further includes:
and when an adjusting instruction input by the current interactive object of the display equipment is detected, adjusting the category of the commodity to be purchased and/or the expected commodity parameter according to the adjusting instruction.
It should be noted that the current interaction object of the display device is the user, when the user inputs an adjustment instruction, the virtual shopping assistant receives the adjustment instruction of the user in real time, and adjusts the category of the commodity to be purchased and/or the parameter of the expected commodity according to the adjustment instruction, and the user can adjust the category of the commodity to be purchased and/or the parameter of the expected commodity based on the own requirement during the execution process of the online shopping assistance method, so as to adjust the virtual trial effect and the analysis report, thereby being more beneficial to the user to select the commodity of the mental apparatus.
Step S50, matching a preset number of alternative commodities according to the target commodity model, and loading the alternative commodities into the virtual trial scene to obtain a virtual trial effect;
it should be noted that the target product model is only a model and is not an actual product, so that matching of actual products is performed according to the target product model, that is, a purchase scheme selected by a user, to complete selection of the product, so as to obtain a preset number of candidate products. The 5 products are loaded into the virtual trial scene one by one to obtain a virtual trial effect basically consistent with the trial of the physical store, and great reference value is provided for the user to select commodities.
Step S60, generating an analysis report of the candidate product including the virtual trial effect, so that the current interaction object of the display device completes the selection of the candidate product according to the analysis report.
In this embodiment, the step of generating an analysis report of the candidate product including the virtual trial effect in S60 includes:
acquiring key evaluation parameters of user portrait adaptation of a current interactive object of the display equipment;
and generating an analysis report of the alternative commodity according to the key evaluation parameters and the virtual trial effect.
The current interactive objects of the display device are users, and different user groups have different user profiles, for example, user groups of different ages such as teenagers, middle-aged people and the elderly, and user groups with different genders, and the user profiles are inconsistent, and the evaluation criteria for the commodities are inconsistent. In this embodiment, the key evaluation parameter for the portrait adaptation of the user is information of an online store where the product is located, user comments, authenticity identification, cost performance and the like, a detailed analysis report of 5 types of products is generated according to the information and a virtual trial effect graph generated according to the virtual trial effect, the detailed analysis report is provided for the user, the shopping assistant asks the user whether to agree to purchase one of the products, and if the user agrees to purchase, the shopping assistant asks the user whether to choose or be recommended by the shopping assistant.
If the user does not agree to purchase one of the 5 products, the virtual shopping assistant will communicate with the user in detail to learn about the specific reason, prepare for the next round of product search selection, and search for another 5 products with the highest overall matching degree again after the preparation is completed.
In this embodiment, step S60 includes the following steps:
and putting the selected alternative commodities into a list to be paid, and prompting the current interactive object of the display equipment to finish payment after the commodities of all categories are selected.
It is understood that the list to be paid may be a shopping cart, and the television automatically adds the selected goods to the shopping cart, and after the other kinds of goods are completely selected, the list to be paid is uniformly submitted to the user for arranging payment.
And displaying a list of all goods to be paid in the shopping cart on a screen of the television. The shopping assistant asks the user whether to agree to pay for all the selected commodities in the shopping cart, and if not, the shopping assistant and the user confirm the commodities needing to be deleted in detail.
And displaying a list of all commodities which are determined to be purchased in the shopping cart and to be paid by the user on a screen of the television, automatically searching and positioning, and inputting a detailed home address of the user and a contact telephone of the smart phone of the user. The user can also close the automatic input function in the software and select the manual input address and the contact way instead.
The television screen displays all available online payment methods and detailed operation instructions. The shopping assistant voice guides the user to complete the online payment operation.
The television displays a complete purchased commodity list, the commodity list contains the planned delivery time of each commodity and the like, the updated logistics list is sent to the smart phone of the user once a day, the user can check the logistics details of the specific commodities through a shopping assistant application of the television, and after the commodities are delivered, the shopping assistant can send voice information or call the user to select an address to receive the commodities.
In the embodiment, by acquiring the commodity categories and constructing the corresponding initial commodity model and the virtual trial scene according to different commodity categories, different commodity categories can be adapted to the optimal purchasing scheme; continuously correcting and perfecting the initial commodity model through the display effect of the virtual trial scene to finally obtain a target commodity model which is most matched with the user requirement, carrying out commodity matching through the target commodity model to obtain a most accordant alternative commodity, and loading the alternative commodity into the virtual trial scene to obtain a virtual trial effect; the analysis report of the candidate commodity containing the virtual trial effect is generated, so that the user can complete the selection of the candidate commodity according to the analysis report, careful service is provided for the user through the virtual shopping assistant, eye fatigue caused by long-time commodity selection of the user is avoided, the trial effect of the commodity is visually shown, and more comfortable shopping experience is provided for the user.
Further, a second embodiment of the present invention provides an online shopping assisting method, based on the embodiment shown in fig. 2, the step of constructing an initial commodity model according to the category of the commodity to be purchased, obtaining an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter includes:
if the commodity category to be purchased is a wearing article category, setting an initial commodity model as an initial wearing article commodity model, setting an expected scene parameter as the biological characteristic of a current interaction object of the display equipment, and setting a virtual trial scene as a virtual character model.
The shopping assistant can judge whether the commodity category belongs to wearing articles such as clothes, shoes and ornaments, if so, the television starts the camera to detect whether the user is in front of the television, if so, the network shopping assistant reminds the user to stand in a specified range from a screen of the television in a voice mode and reminds the user to do corresponding actions according to screen demonstration step by step, so that the camera of the television and the corresponding camera in a living room can take all-around pictures of the head, the body, the feet and other parts of the user. The television background intelligently calculates and analyzes all the shot photos, a virtual three-dimensional figure is formed and displayed on a television screen, and the physical characteristics of the virtual three-dimensional figure, such as height, growth, weight, skin quality, hair style and the like, are completely the same as those of the user.
When the virtual three-dimensional character model is formed, the television also constructs an initial wearing article commodity model, and after the three-dimensional character model is constructed, the television can wear the initial wearing article commodity model on the three-dimensional character model; the shopping assistant can communicate with the user to confirm the detailed requirements of the brand, size, color, price and the like of the needed wearing article goods, dynamically adjusting the initial wearing article commodity model by combining the three-dimensional character model, taking each different collocation as an expected wearing article commodity model, carrying out background arrangement and analysis on user requirements by a television, wearing the expected wearing article commodity model to the corresponding position on the three-dimensional character model, providing a plurality of optimized purchasing schemes for the user, and selecting the required purchasing schemes by the user according to the virtual fitting effect and the special requirements and preferences of the user, and when the virtual shopping assistant receives the selection instruction of the user, the expected wearing article commodity model in the purchase scheme selected by the user can be determined as the target wearing article commodity model.
The TV online shopping assistant automatically searches for 5 products with the highest fit degree in the whole network according to the purchase scheme selected by the user, and provides a detailed analysis report of each product, wherein the report contains online shop information of the product, user comments, authenticity identification, cost performance, and contents such as body position effect pictures of virtual character trials.
It can be understood that if the commodity category does not belong to wearing articles such as clothes, shoes, ornaments and the like, the current purchasing program is skipped, and the judgment of other commodity categories is performed.
If the television starts the camera and does not detect the user in front of the television, the television sends voice information and calls the smart phone of the user to remind the user to return to the front of the television within 5 minutes. The television counts time in the process of waiting for the user to return, if the time is less than 5 minutes, the television continues to wait, if the time is less than 5 minutes, the step of detecting whether the user is in front of the television by the starting camera is repeated, the television defaults the circulation process to be executed for two times, if the two times are not executed, the user still does not return to the front of the television, and the television automatically returns to the shopping program interface for selecting and starting other commodity types, or quits the function application of the online shopping assistant.
Further, a third embodiment of the present invention provides an online shopping assisting method, based on the embodiment shown in fig. 2, the step of constructing an initial commodity model according to the category of the commodity to be purchased, obtaining an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter includes:
if the goods to be purchased are intelligent household goods, the initial goods model is set as an initial intelligent household goods model, the expected scene parameters are set as the indoor existing layout, and the virtual trial scene is set as the virtual indoor space.
The shopping assistant can judge whether the commodity category belongs to an intelligent household appliance category, if so, the television network shopping assistant asks the user whether to buy or replace the existing household appliance newly by voice, if so, an initial intelligent household appliance commodity model is constructed, a corresponding camera is started, the existing indoor layout is detected and photographed, a virtual indoor space is constructed, and the initial intelligent household appliance commodity model is placed in the virtual indoor space; the shopping assistant can communicate with a user to confirm detailed requirements of various aspects of brands, sizes, colors, performances, prices and the like of required intelligent household electrical goods, dynamically adjust the initial intelligent household electrical goods model by combining the virtual indoor space, use each different collocation as an expected intelligent household electrical goods model, arrange and analyze the requirements of the user at the background of the television, place the expected intelligent household electrical goods model at a corresponding position in the virtual indoor space, and provide a plurality of optimized purchasing schemes for the user so that the size, the color and the like of a newly purchased product accord with the overall indoor decoration style, the purchasing schemes include a virtual indoor three-dimensional placing color effect graph and the like, the user can select a required purchasing scheme according to the virtual placing effect and the special requirements and preferences of the user, and the expected intelligent household electrical goods in the purchasing scheme selected by the user can be selected by the virtual shopping assistant after receiving a selection instruction of the user And determining the model as a target intelligent household appliance type commodity model.
The television automatically searches for 5 products with the highest fit degree in the whole network according to a purchase scheme selected by a user, provides a detailed analysis report of each product, and the report contains online store information of the product, user comments, true and false identification, cost performance, the optimal placement position of a virtual indoor space product, and contents such as an omnidirectional effect picture after placement.
It can be understood that if the commodity category does not belong to the intelligent household appliance category, the current purchasing program is skipped out, and the judgment of other commodity categories is performed.
If the online shopping assistant of the television asks the user whether to buy or replace the existing household appliance newly by voice, if the answer of the user is that the replacement is needed, the shopping assistant communicates with the user in detail to know the specific reason for the replacement and asks the user whether to help to judge the overall performance of the existing household appliance, and if not, the follow-up steps which are the same as the new buying steps are executed; if the overall performance of the existing household appliance needs to be assisted and judged, the shopping assistant reminds a user to start the existing household appliance through voice and is connected with the television through the same network, the television starts a related camera to take an all-round picture of the existing household appliance, the shopping assistant is communicated with the user to know information such as the actual service life of the existing household appliance, the television searches in a background, the overall performance of the existing household appliance is processed and analyzed, and a detailed recommendation processing scheme (including a performance state and the like) is given.
If the processing scheme is scrap replacement, displaying information such as a recommended scrap mode, working time of a scrap mechanism nearest to the home, a specific contact mode and the like on a television screen, and executing subsequent steps which are the same as the newly purchased steps; if the processing scheme is in normal use, the television screen displays the estimated time length of the follow-up normal use of the existing household appliance and informs the user of the next determined planned time, if the processing scheme is in maintenance use, the television screen displays the recommended maintenance mode, the working time of the maintenance mechanism nearest to the home, the specific contact mode and other information, the shopping assistant inquires whether the user agrees to continue maintenance or normal use of the existing household appliance or wants to purchase new product replacement again, if the user wants to purchase new product replacement again, the scrapping step is executed, and if the user chooses to continue use, the current purchasing program is skipped, and the types of other commodities are judged.
Further, a fourth embodiment of the present invention provides an online shopping assistance method, based on the embodiment shown in fig. 2, the step of constructing an initial commodity model according to the category of the commodity to be purchased, obtaining an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter includes:
if the goods to be purchased are furniture goods, setting the initial goods model as an initial furniture goods model, setting the expected scene parameters as the indoor existing layout, and setting the virtual trial scene as the virtual indoor space.
The shopping assistant can judge whether the commodity type belongs to furniture, if so, the television network shopping assistant inquires a user about whether to buy new furniture or replace the existing furniture by voice, if so, an initial furniture commodity model is constructed, a corresponding camera is started, the existing indoor layout is detected and photographed, a virtual indoor space is constructed, and the initial furniture commodity model is placed in the virtual indoor space; the shopping assistant can communicate with a user to confirm detailed requirements of various aspects of brand, size, color, function, price and the like of needed furniture commodities, dynamically adjust the initial furniture commodity model by combining the virtual indoor space, use each different collocation as an expected furniture commodity model, arrange and analyze the requirements of the user at the background of the television, place the expected furniture commodity model at a corresponding position in the virtual indoor space, and provide various optimized purchasing schemes for the user so that the size, color and the like of a newly purchased product accord with the overall indoor decoration style, the purchasing schemes include a virtual indoor three-dimensional placing color effect graph and the like, the user can select a needed purchasing scheme according to a virtual placing effect and the special requirements and preferences of the user, and the virtual shopping assistant can determine the expected furniture commodity model in the purchasing scheme selected by the user as a target furniture commodity model after receiving a selection instruction of the user And (4) commodity models.
The television automatically searches for 5 products with the highest fit degree in the whole network according to a purchase scheme selected by a user, provides a detailed analysis report of each product, and the report contains online store information of the product, user comments, true and false identification, cost performance, the optimal placement position of a virtual indoor space product, and contents such as an omnidirectional effect picture after placement.
It can be understood that, if the commodity category does not belong to the furniture category, the current purchasing program is skipped, and the judgment of other commodity categories is performed.
Further, a fifth embodiment of the present invention provides an online shopping assistance method, which based on the embodiment shown in fig. 2, includes the following steps:
if the commodities to be purchased are of other categories, acquiring expected commodity parameters of the commodities of other categories, and matching other candidate commodities of preset quantity according to the expected commodity parameters;
and generating an analysis report of the other types of alternative commodities so that the current interactive object of the display equipment completes the selection of the other types of alternative commodities according to the analysis report.
It should be noted that the shopping assistant can determine whether the category of the product belongs to other categories, and if so, the shopping assistant communicates with the user to confirm detailed requirements of the brand, quantity, size, color, price, and the like of the desired product.
The television background is used for sorting and analyzing detailed requirements of users, automatically searching 5 products with the highest fit degree in the whole network, and providing detailed analysis reports of each product, wherein the reports contain online store information of the products, user comments, true and false identification, cost performance and the like.
It can be understood that, if the commodity category does not belong to other categories, the current purchasing program is skipped, and the judgment of other commodity categories is performed.
In addition, the above embodiments may be combined with each other.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where an online shopping assistance program is stored on the computer-readable storage medium, and when being executed by a processor, the online shopping assistance program implements the steps in the embodiments described above.
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 system 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 system. 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 system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An online shopping auxiliary method is characterized in that the online shopping auxiliary method is applied to display equipment and comprises the following steps:
acquiring the category of goods to be purchased;
according to the category of the commodity to be purchased, constructing an initial commodity model and constructing a virtual trial scene;
loading the initial commodity model into the virtual trial scene;
acquiring expected commodity parameters of the commodity category to be purchased, and dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model;
matching a preset number of alternative commodities according to the target commodity model, and loading the alternative commodities into the virtual trial scene to obtain a virtual trial effect;
and generating an analysis report of the candidate commodity containing the virtual trial effect so as to enable the current interactive object of the display equipment to complete the selection of the candidate commodity according to the analysis report.
2. The online shopping assisting method as claimed in claim 1, wherein the steps of constructing an initial commodity model and constructing a virtual trial scene according to the commodity category to be purchased comprise:
constructing an initial commodity model according to the categories of the commodities to be purchased;
and acquiring expected scene parameters according to the categories of the commodities to be purchased, and constructing a virtual trial scene according to the expected scene parameters.
3. The online shopping assisting method as claimed in claim 1, wherein the step of dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a target commodity model comprises:
dynamically adjusting the initial commodity model according to the expected commodity parameters to obtain a plurality of expected commodity models;
and displaying a plurality of expected commodity models in the virtual trial scene, and determining a target commodity model according to the received selection instruction.
4. The online shopping assistance method according to claim 1, wherein the step of generating an analysis report of the candidate product including the virtual use effect includes:
acquiring key commodity evaluation parameters adapted to the user portrait of the current interactive object of the display equipment;
and generating an analysis report of the alternative commodity according to the key commodity evaluation parameters and the virtual trial effect.
5. The online shopping assisting method as claimed in claim 2, wherein the step of constructing an initial commodity model according to the commodity category to be purchased, acquiring an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter comprises:
if the commodity category to be purchased is a wearing article category, setting an initial commodity model as an initial wearing article commodity model, setting an expected scene parameter as the biological characteristic of a current interaction object of the display equipment, and setting a virtual trial scene as a virtual character model.
6. The online shopping assisting method as claimed in claim 2, wherein the step of constructing an initial commodity model according to the commodity category to be purchased, acquiring an expected scene parameter, and constructing a virtual trial scene according to the expected scene parameter further comprises:
if the goods to be purchased are intelligent household appliances or furniture goods, the initial goods model is set as an initial intelligent household appliances or furniture goods model, the expected scene parameters are set as the indoor existing layout, and the virtual trial scene is set as the virtual indoor space.
7. The online shopping assistance method according to any one of claims 1 to 6, further comprising:
and when an adjusting instruction input by the current interactive object of the display equipment is detected, adjusting the category of the commodity to be purchased and/or the expected commodity parameter according to the adjusting instruction.
8. The online shopping assisting method as claimed in any one of claims 1 to 6, wherein the step of enabling the current interaction object of the display device to complete the selection of the candidate commodity according to the analysis report comprises the following steps:
and putting the selected alternative commodities into a list to be paid, and prompting the current interactive object of the display equipment to finish payment after the commodities of all categories are selected.
9. A television, the television comprising: a memory, a processor and an online shopping assistance program stored on the memory and operable on the processor, the online shopping assistance program when executed by the processor implementing the steps of the online shopping assistance method according to any one of claims 1 to 8.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon an online shopping assistance program, and when being executed by a processor, the online shopping assistance program implements the steps of the online shopping assistance method according to any one of claims 1 to 8.
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