CN117094788A - Commodity recommendation method, device and equipment based on colors - Google Patents
Commodity recommendation method, device and equipment based on colors Download PDFInfo
- Publication number
- CN117094788A CN117094788A CN202310953614.0A CN202310953614A CN117094788A CN 117094788 A CN117094788 A CN 117094788A CN 202310953614 A CN202310953614 A CN 202310953614A CN 117094788 A CN117094788 A CN 117094788A
- Authority
- CN
- China
- Prior art keywords
- color matching
- target color
- user
- color
- matching information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 239000003086 colorant Substances 0.000 title abstract description 6
- 238000012937 correction Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000005034 decoration Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000839 emulsion Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 229940070527 tourmaline Drugs 0.000 description 1
- 229910052613 tourmaline Inorganic materials 0.000 description 1
- 239000011032 tourmaline Substances 0.000 description 1
Classifications
-
- 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]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Marketing (AREA)
- Computing Systems (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the application provides a commodity recommendation method, device and equipment based on colors, wherein the method comprises the following steps: acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user; extracting target color matching information from a target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card; and recommending commodities to the user according to the target color matching information. The method of the application realizes the recommendation of commodities to the user according to the favorite color matching information of the user, meets the searching requirement of the user based on the color information, and improves the user experience.
Description
Technical Field
The embodiment of the application relates to the technical field of commodity recommendation, in particular to a commodity recommendation method, device and equipment based on colors.
Background
With the rapid development of electronic commerce, online shopping has become a mainstream manner of consumption, and each large electronic commerce platform provides goods with a full-scale tourmaline purpose to be selected by consumers. The consumer can search for goods by inputting words, for example, store name, store link, goods name, goods category, etc., and the electronic commerce platform can recommend goods according to the keyword information input by the consumer. However, this text search approach is not autonomous to the consumer, who is typically passively accepted.
Sometimes, a user cannot or does not want to search for goods in words when shopping, for example, when the user encounters a good with unknown name, the user wants to purchase the same type of good, but the user suffers from the fact that the user cannot search for the words without knowing the name, and then can search for the goods by taking pictures. The picture searching brings convenience to consumers to a certain extent, improves shopping experience, but cannot meet some searching requirements of users on color information, for example, the users like the color matching of a picture, and the users want to have clothes, bags, home decorations and the like with the same color matching, so that the conventional commodity recommending method is difficult to meet the requirements of the users.
Disclosure of Invention
The embodiment of the application provides a commodity recommending method, device and equipment based on colors, which are used for solving the problems that the existing commodity recommending method is difficult to meet the searching requirement of users on color information and the user experience is poor.
In a first aspect, an embodiment of the present application provides a color-based commodity recommendation method, including:
acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user;
extracting target color matching information from a target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card;
and recommending commodities to the user according to the target color matching information.
In one embodiment, the method further comprises: obtaining the type of a product required by a user;
recommending commodities to a user according to the target color matching information comprises the following steps: and recommending commodities to the user according to the target color matching information and the product type.
In one embodiment, the method further comprises: determining the position information of the target color matching information in the product type;
recommending commodities to a user according to the target color matching information comprises the following steps: and recommending the commodity to the user according to the target color matching information, the product type and the position information of the target color matching information in the product type.
In one embodiment, the method further comprises:
color names are generated and displayed according to the similarity percentage of the color values and the standard color card, and the color names can be duplicated.
In one embodiment, the method further comprises:
the color value in the target color matching information is adjusted according to a correction operation by a user, the correction operation including a color deepening operation, a color lightening operation, an increasing warm tone operation, and an increasing cool tone operation.
In one embodiment, recommending items to a user based on target color matching information includes:
and displaying the commodities with the matching degree of the commodity library and the target color matching information being greater than a preset threshold value in a sequence from high to low according to the matching degree, and selecting by a user.
In one embodiment, obtaining a target color matching picture includes:
acquiring a target color matching picture through an image acquisition device; or,
and responding to the selection operation of the user on the existing pictures in the gallery, and acquiring the target color matching picture.
In a second aspect, an embodiment of the present application provides a color-based commodity recommendation apparatus, including:
the acquisition module is used for acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user;
the extraction module is used for extracting target color matching information from the target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card;
and the recommending module is used for recommending commodities to the user according to the target color matching information.
In a third aspect, an embodiment of the present application provides an electronic device, including:
at least one processor and memory;
the memory stores computer-executable instructions;
at least one processor executing computer-executable instructions stored in a memory causes the at least one processor to perform the color-based commodity recommendation method according to any one of the first aspects.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the color-based commodity recommendation method according to any one of the first aspects when executed by a processor.
According to the commodity recommendation method, device and equipment based on the color, the target color matching picture is obtained, and the target color matching picture comprises color matching information liked by a user; extracting target color matching information from a target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card; and recommending commodities to the user according to the target color matching information. The method and the device realize commodity recommendation to the user according to the favorite color matching information of the user, meet the searching requirement of the user based on the color information, and improve the user experience.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flowchart of a color-based commodity recommendation method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an interface according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a color-based merchandise recommendation apparatus 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.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning. The term "coupled" as used herein includes both direct and indirect coupling (coupling), unless otherwise indicated.
Fig. 1 is a flowchart of a color-based commodity recommendation method according to an embodiment of the present application. As shown in fig. 1, an embodiment of the present application provides a color-based commodity recommendation method, including:
s101, acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user.
It will be appreciated that when the user encounters a favorite color match in life, it may be recorded in the form of a picture if it is difficult to describe it in an accurate language. That is, the target color matching picture may be employed to reflect color matching information that the user likes. The method provided by the embodiment can be applied to all electronic commerce platforms, and when recommending commodities to users, target color matching pictures comprising favorite color matching information of the users are needed to be acquired first. Specifically, for example, a camera of the terminal device can be called by a commodity searching function of the shopping application to shoot the favorite color matching of the user so as to obtain a target color matching picture; if the user has shot the target color matching picture in advance and stored in the picture library of the terminal equipment, the picture library can be called through the commodity searching function of the shopping application, and the target color matching picture is determined in response to the selection operation of the user on the picture in the picture library.
That is, in an alternative embodiment, the obtaining the target color matching picture may specifically include:
acquiring a target color matching picture through an image acquisition device; or,
and responding to the selection operation of the user on the existing pictures in the gallery, and acquiring the target color matching picture.
S102, extracting target color matching information from a target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card.
After the target color matching picture is acquired, target color matching information can be extracted from the target color matching picture. For example, color values included in the target color matching picture can be extracted, the extracted color values can be compared with the standard color card in similarity, the similarity of each color value and the standard color card is determined, and the color values are presented in a percentage form; further, the number of the pixel points corresponding to the color values can be counted, and then the number percentage of the pixel points corresponding to the color values in the target color matching picture is calculated, wherein the number percentage represents the proportion of each color in the target color matching picture.
After the color comparison, a name with replicable specific color card colors can be provided, and the user can replicate the name for retrieval again. That is, in an alternative embodiment, the color names may be generated and displayed according to a percentage of similarity of the color values to the standard color chart, and the color names may be duplicated. The user can use the generated color name for commodity searching by copying. It can be understood that when the user cannot accurately describe the desired color in a text, the color name generated based on the similarity percentage between the color value and the standard color card can accurately describe the color matching information liked by the user in the target color matching picture. In specific implementation, the color names corresponding to the color values can be determined based on the pre-established correspondence between the similarity percentages and the color names, or can be realized by adopting a machine learning method.
In order to further improve accuracy of commodity recommendation, when the screened color deviates from the idea of the user, the user can click the entry through clicking, for example, buttons, deep points, shallow points, warmth, coldness and the like can be selected, more accurate color matching is provided for the user, and user interaction experience is improved. That is, in an alternative embodiment, the color value in the target color matching information may also be adjusted according to a correction operation by the user, including a color deepening operation, a color lightening operation, an increasing warm tone operation, and an increasing cool tone operation.
S103, recommending commodities to a user according to the target color matching information.
After the target color matching information is obtained, the commodity can be recommended to the user according to the target color matching information. Specifically, the commodities with the matching degree with the target color matching information in the commodity library being larger than the preset threshold value can be displayed in an arrangement mode according to the sequence from high to low in matching degree, and the commodities can be selected by a user. Fig. 2 is a schematic diagram of an interface according to an embodiment of the application. And displaying a target color matching picture above the page, displaying target color matching information extracted from the target color matching picture below the target color matching picture, and sequentially displaying commodities recommended to a user below the target color matching information.
According to the commodity recommendation method based on the color, the target color matching picture is obtained, and the target color matching picture comprises color matching information liked by a user; extracting target color matching information from a target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card; and recommending commodities to the user according to the target color matching information. The method and the device realize commodity recommendation to the user according to the favorite color matching information of the user, meet the searching requirement of the user based on the color information, and improve the user experience.
On the basis of the embodiment, in order to further improve the shopping experience of the user, the recommended commodities are just commodities required by the user, the satisfaction degree of the user is improved, and the types of products required by the user can be further obtained. Specifically, the product type input by the user through the text input box can be received, and the user can select the required product type from a plurality of product types through a drop-down menu. And recommending commodities to the user according to the target color matching information and the product type after acquiring the product type required by the user. For example, after color matching information in the image is extracted from the target color matching image, a user selects a required product type, such as a short sleeve, and a plan view of the short sleeve matched with the target color matching information is displayed on an interface for selection by the user. That is, in order to further enhance the shopping experience of the user, the color-based commodity recommendation method provided in the embodiment further obtains the type of the product required by the user on the basis of the embodiment; and recommending commodities to the user according to the target color matching information and the product type.
In some cases, the user may wish to apply the preferred color to only a localized area of the article, for example, a cotta, and the user may wish to apply the preferred color to only the sleeve portion; taking the car as an example, the user may only wish to use the favorite color scheme for the car front face area. Therefore, in order to further promote the shopping experience of the user, the user can be supported to specify a specific position area of the target color matching information in the product type. The user uses the extracted color to search the short sleeve, and can select the color that the sleeves become favored, or the color that the fringe pattern is wanted or the Logo on the clothes is wanted. Finally, generating a plane picture, and continuously searching clothes with higher similarity required by the user in the shopping platform.
That is, in order to further enhance the shopping experience of the user, the color-based commodity recommendation method provided in the present embodiment further determines the location information of the target color matching information in the product type based on the above embodiment; and recommending the commodity to the user according to the target color matching information, the product type and the position information of the target color matching information in the product type.
In summary, the color-based commodity recommendation method provided by the application is used for solving the problems of many searching aspects which occur in the process of using the shopping platform, such as comparing favorite color matching by a user, but not knowing what keyword is searched for after the color or style is input, and not finding out the commodity which corresponds to the requirement of the user. Users in daily life, including buying clothing, buying luggage, for finishing or decorating furniture, and overall color matching during the home furnishing process, are always unaware of how this is done. The method and the system mainly aim at the user population to carry out quick screening, and finish products to recommend commodities required by accurate users. When a user finds a favorite color matching photo, the main color matching in the photo is accurately extracted through data retrieval. The classification of the product required by the user is selected by color matching. For example, a clothes box and the like, the color extraction system can automatically generate a color list, and a product classification user can specifically screen or input keywords to screen products conforming to the color matching of the picture. The system may also automatically generate some sort of category regarding the type of searches paid for in the user's daily lives, such as a complete set of clothing for girls' searches, a package that may be collocated in the clothing, and so on. The method is also suitable for people in home decoration, and home decoration retrieval is carried out by shooting and uploading favorite color matching of the people, for example, the color of emulsion paint or wallpaper with the same color, and peripheral products such as collocation home or household appliances can be automatically generated below recommended products, so that shopping APP is made into search software which is more popular for users.
The commodity recommendation method based on the color solves the difficulty that a user cannot or does not want to search by words; through picture color extraction, the user is helped to recommend color commodities really loved by the user; the method guides the user to explore shopping software and increases the purchase strength.
Fig. 3 is a schematic structural diagram of a color-based commodity recommendation device according to an embodiment of the present application. As shown in fig. 3, the color-based commodity recommendation device 30 provided in this embodiment may include: an acquisition module 301, an extraction module 302 and a recommendation module 303.
The obtaining module 301 is configured to obtain a target color matching picture, where the target color matching picture includes color matching information that is liked by a user;
the extracting module 302 is configured to extract target color matching information from the target color matching picture, where the target color matching information includes color values, a number percentage of pixels corresponding to each color value in the target color matching picture, and a similarity percentage between each color value and a standard color card;
and the recommending module 303 is used for recommending commodities to the user according to the target color matching information.
The device of this embodiment may be used to implement the technical solution of the method embodiment shown in fig. 1, and its implementation principle and technical effects are similar, and are not described here again.
In an alternative embodiment, the obtaining module 301 is further configured to obtain a product type required by a user;
the recommending module 303 is configured to recommend the commodity to the user according to the target color matching information, and specifically may include: and recommending commodities to the user according to the target color matching information and the product type.
In an alternative embodiment, the obtaining module 301 is further configured to determine location information of the target color matching information in the product type;
the recommending module 303 is configured to recommend the commodity to the user according to the target color matching information, and specifically may include: and recommending the commodity to the user according to the target color matching information, the product type and the position information of the target color matching information in the product type.
In an alternative embodiment, the color-based commodity recommendation device 30 may further include a generating module (not shown in the figure) for generating and displaying the color names according to the similarity percentages of the color values and the standard color cards, and the color names may be duplicated.
In an alternative embodiment, the color-based commodity recommendation device 30 may further include an adjustment module (not shown in the figure) for adjusting the color value in the target color matching information according to a correction operation by the user, where the correction operation includes a color deepening operation, a color lightening operation, a warm tone increasing operation, and a cool tone increasing operation.
In an alternative embodiment, the recommending module 303 is configured to recommend the commodity to the user according to the target color matching information may specifically include:
and displaying the commodities with the matching degree of the commodity library and the target color matching information being greater than a preset threshold value in a sequence from high to low according to the matching degree, and selecting by a user.
In an optional implementation manner, the acquiring module 301 configured to acquire the target color matching picture may specifically include:
acquiring a target color matching picture through an image acquisition device; or,
and responding to the selection operation of the user on the existing pictures in the gallery, and acquiring the target color matching picture.
An embodiment of the present application further provides an electronic device, and referring to fig. 4, the embodiment of the present application is illustrated by taking fig. 4 as an example only, and the present application is not limited thereto. Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic device 40 provided in this embodiment may include: memory 401, processor 402, and bus 403. Wherein the bus 403 is used to implement the connections between the elements.
The memory 401 stores a computer program, which when executed by the processor 402 can implement the technical solution of any of the above-mentioned method embodiments.
Wherein the memory 401 and the processor 402 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the elements may be electrically coupled to each other via one or more communication buses or signal lines, such as via bus 403. The memory 401 stores therein a computer program for implementing the color-based commodity recommendation method, including at least one software function module that may be stored in the memory 401 in the form of software or firmware, and the processor 402 executes various function applications and data processing by running the software program and the module stored in the memory 401.
The Memory 401 may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. The memory 401 is used for storing a program, and the processor 402 executes the program after receiving an execution instruction. Further, the software programs and modules within the memory 401 described above may also include an operating system, which may include various software components and/or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components.
The processor 402 may be an integrated circuit chip with signal processing capabilities. The processor 402 may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), and the like. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. It will be appreciated that the configuration of fig. 4 is merely illustrative and may include more or fewer components than shown in fig. 4 or have a different configuration than shown in fig. 4. The components shown in fig. 4 may be implemented in hardware and/or software.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the technical solution of any of the method embodiments described above.
The various embodiments in this disclosure are described in a progressive manner, and identical and similar parts of the various embodiments are all referred to each other, and each embodiment is mainly described as different from other embodiments.
The scope of the present disclosure is not limited to the above-described embodiments, and it is apparent that various modifications and variations can be made to the present disclosure by those skilled in the art without departing from the scope and spirit of the disclosure. Such modifications and variations are intended to be included herein within the scope of the following claims and their equivalents.
Claims (10)
1. A color-based commodity recommendation method, comprising:
acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user;
extracting target color matching information from the target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card;
and recommending commodities to the user according to the target color matching information.
2. The method according to claim 1, wherein the method further comprises: obtaining the type of a product required by a user;
the recommending the commodity to the user according to the target color matching information comprises the following steps: and recommending commodities to the user according to the target color matching information and the product type.
3. The method according to claim 2, wherein the method further comprises: determining position information of the target color matching information in the product type;
the recommending the commodity to the user according to the target color matching information comprises the following steps: recommending commodities to a user according to the target color matching information, the product type and the position information of the target color matching information in the product type.
4. The method according to claim 1, wherein the method further comprises:
color names are generated and displayed according to the similarity percentage of the color values and the standard color cards, and the color names can be copied.
5. The method according to claim 1, wherein the method further comprises:
and adjusting the color value in the target color matching information according to the correction operation of the user, wherein the correction operation comprises a color deepening operation, a color lightening operation, a warm tone increasing operation and a cold tone increasing operation.
6. The method of claim 1, wherein recommending items to a user based on the target color matching information comprises:
and displaying the commodities in the commodity library, wherein the matching degree of the commodities in the commodity library and the target color matching information is greater than a preset threshold value, in a sequence from high to low, and selecting the commodities by a user.
7. The method of any one of claims 1-6, wherein the obtaining a target color matching picture comprises:
acquiring a target color matching picture through an image acquisition device; or,
and responding to the selection operation of the user on the existing pictures in the gallery, and acquiring the target color matching picture.
8. A color-based commodity recommendation device, comprising:
the acquisition module is used for acquiring a target color matching picture, wherein the target color matching picture comprises color matching information liked by a user;
the extraction module is used for extracting target color matching information from the target color matching picture, wherein the target color matching information comprises color values, the number percentage of pixel points corresponding to the color values in the target color matching picture and the similarity percentage of the color values and a standard color card;
and the recommending module is used for recommending commodities to the user according to the target color matching information.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory, causing the at least one processor to perform the color-based merchandise recommendation method of any one of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to implement the color based commodity recommendation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310953614.0A CN117094788A (en) | 2023-07-31 | 2023-07-31 | Commodity recommendation method, device and equipment based on colors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310953614.0A CN117094788A (en) | 2023-07-31 | 2023-07-31 | Commodity recommendation method, device and equipment based on colors |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117094788A true CN117094788A (en) | 2023-11-21 |
Family
ID=88774251
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310953614.0A Pending CN117094788A (en) | 2023-07-31 | 2023-07-31 | Commodity recommendation method, device and equipment based on colors |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117094788A (en) |
-
2023
- 2023-07-31 CN CN202310953614.0A patent/CN117094788A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11216861B2 (en) | Color based social networking recommendations | |
| US10186054B2 (en) | Automatic image-based recommendations using a color palette | |
| US10242396B2 (en) | Automatic color palette based recommendations for affiliated colors | |
| US9679532B2 (en) | Automatic image-based recommendations using a color palette | |
| US20230316575A1 (en) | Item recommendations based on image feature data | |
| US9542704B2 (en) | Automatic image-based recommendations using a color palette | |
| US10402917B2 (en) | Color-related social networking recommendations using affiliated colors | |
| US9727983B2 (en) | Automatic color palette based recommendations | |
| US20190385210A1 (en) | Automated color processing and selection platform | |
| US9652868B2 (en) | Automatic color palette based recommendations | |
| TWI760299B (en) | Image display method and device for selling object information | |
| US20150379006A1 (en) | Automatic image-based recommendations using a color palette | |
| US9607010B1 (en) | Techniques for shape-based search of content | |
| US20150379001A1 (en) | Automatic color validation of image metadata | |
| CA2890158C (en) | Automated color processing and selection platform | |
| US20120072405A1 (en) | Simulation-assisted search | |
| CN107862562B (en) | Method and device for recommending commodities according to picture preference selection of user | |
| US11195227B2 (en) | Visual search, discovery and attribution method, system, and computer program product | |
| CN111815404A (en) | Virtual article sharing method and device | |
| CN109416806B (en) | System and method for linking database entries of a network platform | |
| CN117094788A (en) | Commodity recommendation method, device and equipment based on colors | |
| JP6356774B2 (en) | Selection device, selection method, and selection program | |
| WO2019148133A2 (en) | System and method for duplicating items from a website and tracking original content source | |
| CN116308623A (en) | Method and device for processing information related to article and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |