CN110837522B - To-be-purchased product display method and display platform based on big data analysis - Google Patents
To-be-purchased product display method and display platform based on big data analysis Download PDFInfo
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- CN110837522B CN110837522B CN201911093078.1A CN201911093078A CN110837522B CN 110837522 B CN110837522 B CN 110837522B CN 201911093078 A CN201911093078 A CN 201911093078A CN 110837522 B CN110837522 B CN 110837522B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
Abstract
The invention discloses a to-be-purchased product display method based on big data analysis, which comprises the following steps of: acquiring basic data of a reference object; comparing the data of the product to be purchased with the basic data; adjusting the display image/sound of the product to be purchased according to the comparison result; presenting the display image to one side of the reference object; and/or playing the sound. By the method, the reference object in reality is selected, and the reference object is compared with the data of the product to be purchased, so that the image of the product to be purchased is displayed beside the reference object for comparison, the parameters such as the size, the shape, the color and the like of the product can be visually seen, and the actual situation of the product can be better known compared with the display of a single network picture or video.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a display method and a display platform for a product to be purchased based on big data analysis.
Background
With the development of networks, more and more people can choose to shop on the network because more channels are available for browsing and purchasing on the network and shopping is more convenient.
However, in the online shopping process, the picture introduction is often too abstract, so that the accurate size or the color difference of the picture cannot be known, the sent product is inconsistent with the imagination, unnecessary troubles are caused, and the shopping experience is reduced. In the prior art, some shopping platforms utilize virtual reality glasses (VR glasses) to view a three-dimensional image of a product to be purchased, so as to better know more details of the product. However, this method not only needs to wear specific devices (VR glasses), which increases the shopping cost, and is inconvenient for shopping anytime and anywhere, but also still cannot know the accurate information of the product to be purchased, such as the information of size, due to imaging errors and the like.
Therefore, a new display method or shopping platform for products to be purchased is needed to solve the above problems.
Disclosure of Invention
An object of the present invention is to provide a new technical solution for online shopping based on big data.
According to a first aspect of the present invention, there is provided a method for displaying products to be purchased based on big data analysis, comprising the steps of:
acquiring basic data of a reference object;
comparing the data of the product to be purchased with the basic data;
adjusting the display image/sound of the product to be purchased according to the comparison result;
presenting the display image to one side of the reference object; and/or playing the sound.
Through the scheme, the reference object in reality is selected, the reference object is compared with the data of the product to be purchased, the image of the product to be purchased is displayed beside the reference object for comparison, the size, the shape, the color and other parameters of the product can be visually seen, and compared with the display of a single network picture or video, the actual situation of the product can be better known.
Preferably, the step of acquiring the basic data of the reference object mainly includes the following steps:
acquiring characteristic data of the reference object;
searching a suspected reference object in the network according to the characteristic data;
and obtaining suspected basic data of the suspected reference object as the basic data.
Through the scheme, the basic data of the reference object in the network is acquired, the problem that the basic data acquired due to the acquisition of equipment measurement errors or environmental factors and other reasons is inaccurate is avoided, and the mode can ensure that various data displayed by the product to be purchased in the environment are closer to the actual condition under the condition of ensuring that the basic data are completely correct.
Preferably, the basic data includes at least one or more of size data, color data, and sound data.
According to the scheme, the picture of the product to be purchased, which is closer to the actual situation in the environment, is obtained by correcting the size data and the color data; the correction of the sound data can obtain the audio data of the product to be purchased which is closer to the actual situation in the environment.
Preferably, the step of comparing the data of the product to be purchased with the basic data mainly comprises the following steps:
comparing the basic data of the reference object with the display data of the reference object to obtain a contrast parameter;
and adjusting the data of the product to be purchased according to the comparison parameters to obtain the display data of the product to be purchased.
According to the scheme, the display data of the reference object is acquired for the reference object product displayed on the display, the comparison parameter is obtained by comparing the display data with the basic data, and the comparison parameter can reflect the variation of each item of data of the reference object, so that the data of the product to be purchased is adjusted and corrected according to the variation, and the display data suitable for the environment is obtained.
Preferably, the display data comprises at least one or more of size data, color data and sound data.
Preferably, the step of adjusting the display image of the product to be purchased according to the comparison result mainly comprises the following steps: and generating display images/sound according to the display data of the product to be purchased.
Preferably, the step of presenting the display image to one side of the reference object mainly includes the following steps: and adjusting the angle position of the display image of the product to be purchased in the screen according to the angle position of the reference object in the screen.
Through this scheme, make and watch more directly perceived to have the stereoeffect, can know the detail of product by each angle.
Preferably, the basic data further includes a light source angle and a light source brightness of the reference object;
the step of presenting the display image to one side of the reference object further comprises: adding a light reflecting area and/or a shadow area in the display image according to the light source angle and the light source brightness.
Through the scheme, the display of the product is more real, and the actual use environment is better solved.
According to a second aspect of the present invention, there is provided a to-be-purchased product display platform based on big data analysis, which adopts the above to-be-purchased product display method, including:
an acquisition module: obtaining basic data of a reference object;
a comparison module: the data processing device is used for comparing the data of the product to be purchased with the basic data;
a generation module: the display image/sound used for adjusting the product to be purchased according to the comparison result;
a display module: the display image is presented to one side of the reference object; and/or playing the sound.
Preferably, the acquisition module is a big data retrieval module.
According to one embodiment of the disclosure, by using the display method of the product to be purchased, the image or sound of the product to be purchased in the real environment can be displayed, so that the product to be purchased can be more visually seen more truly and more closely fit with actual product data.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flowchart of a method for displaying products to be purchased based on big data analysis according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a product to be purchased display method based on big data analysis according to a second embodiment of the present invention.
Fig. 3 is a structural block diagram of a display platform for products to be purchased based on big data analysis according to a third embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Example one
As shown in fig. 1, the method for displaying products to be purchased based on big data analysis in this embodiment includes the following steps:
s1100: acquiring basic data of a reference object;
in this step, the reference object may be a specific standard object, such as standard size, standard color, and standard tone or tone data; or common real goods such as cups on a table, handbags or food boxes sold on the network.
The acquired basic parameters mainly comprise original parameter data of the reference object, such as original size, color or tone of the object.
S1200: comparing the data of the product to be purchased with the basic data;
in this step, the data of the product to be purchased is data set by the merchant, such as the size, color or tone of the product, and the data of the product is compared with the basic data of the reference object, so as to obtain the size difference, color difference or tone difference of the product and the reference object on the parameters.
S1300: adjusting the display image/sound of the product to be purchased according to the comparison result;
in this step, the difference of various parameters obtained in the above steps is modified and adjusted on the original picture of the product to be purchased, so as to generate a final picture or sound of the corresponding product to be purchased, which is called as a display image/sound.
S1400: presenting the display image to one side of the reference object; and/or playing the sound.
In this step, the generated display image is displayed by a display module such as a display and displayed next to the reference object; or the generated final sound is played, so that the product can be compared with a reference object, such as size contrast, color contrast and sound contrast.
Through the scheme of the embodiment, the reference object in reality is selected, and the reference object is compared with the data of the product to be purchased, so that the image of the product to be purchased is displayed beside the reference object for comparison, the parameters such as the size, the shape and the color of the product can be visually seen, and compared with the display of a single network picture or video, the actual situation of the product can be better known.
Example two
As shown in fig. 2, the method for displaying a product to be purchased based on big data analysis in this embodiment, based on the technical solution in the above embodiment, in step S1100, that is, the step of obtaining the basic data of the reference object, mainly includes the following steps:
s1110: acquiring characteristic data of the reference object;
in this step, characteristic data of the reference object, such as the characteristics of the shape, color, label, trademark, sound, etc., of the reference object may be acquired through input modules such as a camera, a distance sensor, an infrared sensor, a microphone, etc., so as to identify the specific type and model of the reference object, and acquire accurate basic parameters of the reference object.
S1120: searching a suspected reference object in the network according to the characteristic data;
in this step, a product having the same or the largest similarity is searched in a network or a database according to the feature data acquired in the above step, and is used as a suspected reference object, and the suspected reference object is used as a reference object. And specific models of a plurality of suspected reference objects can appear on a display interface for a customer to select or judge so as to obtain more accurate data.
S1130: and obtaining suspected basic data of the suspected reference object as the basic data.
In this step, the base data of the suspected reference object searched in the network or the database is used as the base data of the reference object.
The method and the device for acquiring the basic data of the suspected reference object in the network or the database are used as the basic data of the reference object, so that the problem that the basic data acquisition is inaccurate due to measurement errors or environmental factors (such as illumination, noise or colored light sources) when the basic parameters of the reference object are directly acquired by an acquisition device (such as a camera and the like) can be avoided. The mode can ensure that basic data are completely correct, thereby ensuring that various data displayed by the product to be purchased in the environment are closer to the actual situation.
In this embodiment, the basic data includes at least one or more of size data, color data, and sound data. Ensuring that all data of the product to be purchased are fully compared and corrected in the later processing; correcting the size data and the color data to obtain a picture of the product to be purchased which is closer to the actual situation in the environment; the correction of the sound data can obtain the audio data of the product to be purchased which is closer to the actual situation in the environment.
In this embodiment or other embodiments, in step S1200, the step of comparing the data of the product to be purchased with the basic data mainly includes the following steps:
s1210: comparing the basic data of the reference object with the display data of the reference object to obtain a contrast parameter;
in this step, after the image captured by the camera is displayed on the display, the reference object may have a slight size change or color difference due to the illumination intensity, illumination color difference or distance in the environment, and the display data is the size data or color data of the reference object displayed on the display; the basic data and the display data are compared to obtain the visual influence on the color or size of the article in the environment, and the degree of the influence is the contrast parameter.
S1220: and adjusting the data of the product to be purchased according to the comparison parameters to obtain the display data of the product to be purchased.
In the step, according to the comparison parameters in the step, the data of the product to be purchased is adjusted and corrected to obtain the display data of the product to be purchased; the variation of the display data of the product to be purchased compared with the original data is consistent with the variation of the basic data and the display data of the reference object.
And obtaining display data of the reference object for the reference object product displayed on the display, and comparing the display data with the basic data to obtain a comparison parameter, wherein the comparison parameter can reflect the variation of each item of data of the reference object, so that the data of the product to be purchased is adjusted and corrected according to the variation, and the display data suitable for the environment is obtained.
In this embodiment, the display data includes at least one or more of size data, color data, and sound data.
In this embodiment or other embodiments, in step S1300, that is, in the step of adjusting the display image of the product to be purchased according to the comparison result, the method further mainly includes the following steps:
s1310: and generating display images/sound according to the display data of the product to be purchased.
In this embodiment or other embodiments, the step 1400 of presenting the display image to one side of the reference object mainly includes the following steps:
s1410: and adjusting the angle position of the display image of the product to be purchased in the screen according to the angle position of the reference object in the screen.
In this step, the display graphics of the product to be purchased are displayed according to the display position and the angle of the reference object, so that the product can be more visually watched, and the stereoscopic effect is achieved, and the customer can know the details of the product at each angle when moving the camera.
In this or other embodiments, the basic data further includes a light source angle and a light source brightness of the reference object;
the step of presenting the display image to one side of the reference object further comprises: and adding a light reflecting area and a shadow area in the display image according to the light source angle and the light source brightness.
The light reflecting area is added on the display image of the product to be purchased, so that the display of the product is more real and is closer to the actual use environment.
When the method is used for shopping, for example, in the process of shopping by using a mobile phone, firstly, a product (such as a teacup) to be purchased is determined, then, a camera of the mobile phone is aligned to a desktop or the ground in front of the product, the camera acquires a certain reference object (such as a cup) on the desktop or the ground, the camera uploads parameters such as the shape of the cup to a server or a processor, and acquires a corresponding cup on a network according to the shape parameters to obtain data such as specific height and color of the cup;
the mobile phone compares the specific data on the network with data in the real environment of the water cup (or data displayed by a display) to obtain a comparison parameter;
adjusting and correcting the data of the teacup to be purchased according to the comparison parameters to obtain the actual display effect of the teacup in the environment, and obtaining the display data of the teacup, wherein the display data comprises the size, the color and the like;
the display data is displayed on the display and beside the water cup, and compared with the water cup, the size, the color and the like of the tea cup to be purchased can be more visually seen, and compared with the method of directly watching the modified network picture, the method is more real.
EXAMPLE III
As shown in fig. 3, the platform for displaying products to be purchased based on big data analysis in this embodiment includes:
the acquisition module 1100: obtaining basic data of a reference object;
the comparison module 1200: the data processing device is used for comparing the data of the product to be purchased with the basic data;
the generation module 1300: the display image/sound used for adjusting the product to be purchased according to the comparison result;
the display module 1400: the display image is presented to one side of the reference object; and/or playing the sound.
In this or other embodiments, the obtaining module 1100 is a big data retrieving module 1110.
According to one embodiment of the disclosure, by using the display method of the product to be purchased, the image or sound of the product to be purchased in the real environment can be displayed, so that the product to be purchased can be more visually seen more truly and more closely fit with actual product data.
The embodiments and examples of the present invention are described with emphasis on differences from other embodiments and examples, and the same portions between the embodiments and examples may be referred to each other.
The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (8)
1. A to-be-purchased product display method based on big data analysis is characterized by comprising the following steps:
acquiring basic data of a reference object;
comparing the data of the product to be purchased with the basic data;
adjusting the display image/sound of the product to be purchased according to the comparison result;
presenting the display image to one side of the reference object; and/or playing the sound;
the step of obtaining the basic data of the reference object mainly comprises the following steps:
acquiring characteristic data of the reference object;
searching a suspected reference object in the network according to the characteristic data;
obtaining suspected basic data of the suspected reference object as the basic data;
the step of comparing the data of the product to be purchased with the basic data mainly comprises the following steps:
comparing the basic data of the reference object with the display data of the reference object to obtain a contrast parameter;
and adjusting the data of the product to be purchased according to the comparison parameters to obtain the display data of the product to be purchased.
2. The big data analysis-based to-be-purchased product display method according to claim 1, wherein the basic data includes at least one or more of size data, color data, and sound data.
3. The big data analysis-based to-be-purchased product display method according to claim 2, wherein the display data at least comprises one or more of size data, color data, and sound data.
4. The big data analysis-based to-be-purchased product display method according to claim 3, wherein the step of adjusting the display image of the to-be-purchased product according to the comparison result mainly comprises the steps of: and generating display images/sound according to the display data of the product to be purchased.
5. The big data analysis-based to-be-purchased product display method according to claim 1, wherein the step of presenting the display image to the reference object side mainly comprises the steps of: and adjusting the angle position of the display image of the product to be purchased in the screen according to the angle position of the reference object in the screen.
6. The big data analysis-based to-be-purchased product display method according to claim 5, wherein the basic data further comprises a light source angle and a light source brightness of the reference object;
the step of presenting the display image to one side of the reference object further comprises: adding a light reflecting area and/or a shadow area in the display image according to the light source angle and the light source brightness.
7. A to-be-purchased product display platform based on big data analysis using the to-be-purchased product display method according to any one of claims 1 to 6, comprising:
an acquisition module: obtaining basic data of a reference object;
a comparison module: the data processing device is used for comparing the data of the product to be purchased with the basic data;
a generation module: the display image/sound used for adjusting the product to be purchased according to the comparison result;
a display module: the display image is presented to one side of the reference object; and/or playing the sound.
8. The big data analysis-based to-be-purchased product display platform according to claim 7, wherein the acquisition module is a big data retrieval module.
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| CN103577185A (en) * | 2013-09-16 | 2014-02-12 | 牛喆 | Method for restoring online shopping colors |
| CN109299484A (en) * | 2017-07-24 | 2019-02-01 | 天津三星通信技术研究有限公司 | Image display method and equipment |
| CN110309336A (en) * | 2018-03-12 | 2019-10-08 | 腾讯科技（深圳）有限公司 | Image search method, device, system, server and storage medium |
| CN108734747A (en) * | 2018-05-23 | 2018-11-02 | 北京三才脉度网络科技有限公司 | A kind of method of long-range correction picture aberration |
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