CN111192114A - Automatic clothing recommendation system and method and background server - Google Patents
Automatic clothing recommendation system and method and background server Download PDFInfo
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Abstract
The invention discloses an automatic clothing recommendation system, a method and a background server, wherein the system comprises at least one fitting device and the background server; the fitting equipment is used for receiving a clothing access request initiated by a customer through an installed browser and sending the clothing access request to the background server; the background server is used for returning the information of the currently sold clothes according to the clothes access request; the fitting device is also used for receiving the information of the currently sold clothes returned by the background server and displaying the corresponding clothes picture on a display screen; the fitting equipment is also used for receiving the click of the customer on the picture of the clothing displayed on the display screen, displaying the details of the clicked clothing and sending the click event to the background server; the background server is further used for updating the total number of clicks of the clothing and recommending the clothing with more total number of clicks in the first area of the display screen.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an automatic clothing recommendation system and method and a background server.
Background
In recent years, with the rapid increase of the economy of China and the continuous increase of clothes demands of people, the domestic retail market of clothes with the potential huge consumption demand and the unlimited business opportunity is rapidly becoming the inevitable choice for large and medium-sized clothes enterprises at home and abroad. Meanwhile, with the pace of the global economy integration process being accelerated and the foreign famous clothes always coming into the domestic consumer market, the information is very important in the promotion of the change of the management mode of the clothes enterprises. The high-efficiency information digital management brings huge benefits to the clothing industry, the logistics industry and other related industries. More and more companies gradually realize that informatization management can help companies to more effectively handle things, and actively and consciously strengthen understanding of clothing informatization. Some companies implement some or all of the information management modes and achieve many benefits. Many foreign brands are receiving digital management of information such as the famous garments of spain and sweden when entering the china market, and adjusting the product style by timely information reverberation to attract more customers.
Under the rapid development of digital multimedia, the value concept and consumption concept of consumers are greatly changed, and the demand of people for commodities is not only limited to the purchase of necessities, but also tends to pursue high-quality and high-color value commodities. Therefore, the service quality of the consumers is improved, the demands of the consumers are met, brand-new shopping experience is brought to the consumers, and the method is an important means for improving brand benefits.
At present, most garment sales shops still stay at the stage of recommending garments for customers through shopping guides, but the requirement on the shopping guides is high, the shopping guides are required to make proper recommendations according to the image quality and current fashion style of each customer, and if the shopping guides cannot make proper recommendations, the customers easily need to try on frequently and cannot acquire satisfactory garments quickly, so that the consumption experience of the customers is reduced, and on the other hand, the time and the energy are wasted for shops and customers.
Disclosure of Invention
In view of the above problems, the present invention provides an automatic clothing recommendation system, method and background server, which solve the problem that customers waste time and energy in the process of continuously selecting clothing matches and fitting.
The invention provides an automatic clothing recommendation system which comprises at least one fitting device with a display screen and a background server, wherein the fitting device is positioned at the front end and is in communication connection with the background server; wherein:
the fitting equipment is used for receiving a clothing access request initiated by a customer through an installed browser and sending the clothing access request to the background server;
the background server is used for returning the information of the currently sold clothes according to the clothes access request;
the fitting device is also used for receiving the information of the currently sold clothes returned by the background server and displaying the corresponding clothes picture on a display screen;
the fitting equipment is also used for receiving the click of the customer on the picture of the clothing displayed on the display screen, displaying the details of the clicked clothing and sending the click event to the background server;
the background server is further used for updating the total number of clicks of the clothing and recommending the clothing with more total number of clicks in the first area of the display screen.
Preferably, the fitting device is further configured to acquire customer information and send the customer information to a background server;
the background server is further used for acquiring the clothing information matched with the customer information and sending the clothing information to the fitting equipment;
the fitting device is further configured to display the clothing information on a second area of the display screen.
Preferably, the customer information includes historical purchase records of the customer; the background server is specifically configured to:
acquiring the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer;
acquiring clothing attributes of all currently sold clothing;
sequentially matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof, and obtaining the similarity between all currently sold garments and each garment in the historical purchase record;
and sending the clothes with the similarity larger than a preset threshold value to the fitting equipment so as to display the clothes in a second area on a display screen of the fitting equipment.
Preferably, the formula for comparing the clothing attributes of the purchased clothing in the historical purchase record with the clothing attributes of the clothing on sale in the clothing database is as follows:
wherein, HB (C)i，APX)nRepresents customer CiNth clothing attribute of purchased xth clothing, (AP)y)nAn nth clothing attribute representing a y-th clothing in the clothing database;
the similarity calculation formula between the currently sold clothes and each purchased clothes in the historical purchase record is as follows:
wherein q isnA weight representing an nth clothing attribute; and satisfy q1+q2+...+qai＝1。
Preferably, the garment attributes of the garment include at least one of: category, style, material, color, price range.
Preferably, the attribute weight is obtained by acquiring preference information of the customer.
The embodiment of the invention also provides an automatic clothing recommendation method, which comprises the following steps:
receiving a clothing access request initiated by a customer through a browser installed on fitting equipment;
returning the information of the currently sold clothes to the fitting equipment according to the clothes access request so as to display the corresponding clothes picture on a display screen of the fitting equipment;
and receiving a click event of the customer on the picture of the clothing displayed on the display screen, which is sent by the fitting equipment, updating the total number of clicks of the clothing according to the click event, and recommending the clothing with more total number of clicks in a first area of the display screen of the fitting equipment.
Preferably, the method further comprises the following steps:
obtaining customer information; wherein the customer information comprises historical purchase records of customers;
acquiring the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer;
acquiring clothing attributes of all currently sold clothing;
sequentially matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof, and obtaining the similarity between all currently sold garments and each garment in the historical purchase record;
and sending the clothes with the similarity larger than a preset threshold value to the fitting equipment so as to display the clothes in a second area on a display screen of the fitting equipment.
An embodiment of the present invention further provides a background server, including: the automatic clothing recommendation system comprises a memory and a processor, wherein the memory is connected with the processor, and executable codes are stored in the memory and can be executed by the processor to realize the automatic clothing recommendation method.
According to the technical scheme, the interest degree of the customer on the clothes is obtained by automatically counting the clicking condition of the customer on the clothes fitting equipment, and the clothes with high interest degree of the customer are recommended, so that the customer can obtain the clothes of the mood instrument more quickly, and staff can know the favorite degree of the customer on each piece of clothes to serve as the style reference of the goods-taking clothes. In addition, recommended clothes generated by a recommendation algorithm based on the similarity are used for reference when the customer fits, service quality is improved, and different shopping experiences can be brought to the customer.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an automatic clothing recommendation system according to a first embodiment of the present invention;
FIG. 2 is a schematic view of a garment entry provided in accordance with a first embodiment of the present invention;
fig. 3 is a schematic diagram illustrating background management of a clothing database according to a first embodiment of the present invention;
FIG. 4 is a main interface display diagram of a fitting apparatus according to a first embodiment of the present invention;
FIG. 5 is a display of a detail page of the fitting apparatus provided in the first embodiment of the present invention;
fig. 6 is a flowchart illustrating an automatic clothing recommendation method according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an automatic clothing recommendation system according to a first embodiment of the present invention. The fitting device comprises at least one fitting device 100 with a display screen and a background server 200, wherein the fitting device 100 is in communication connection with the background server 200.
In this embodiment, the fitting device 100 may be an intelligent tablet, an intelligent terminal with a larger screen, an intelligent fitting mirror, or the like, wherein the fitting device 100 may be placed in a fitting room, or a clothing store, and the number of the fitting devices 100 may be set according to actual needs, which is not limited in the present invention.
In this embodiment, a clothing database is disposed in the backend server 200, and information of all currently sold clothing, for example, pictures, materials, sizes, etc. of all currently sold clothing, is stored in the backend server, and as shown in fig. 2, the clothing information can be entered into the clothing database by a backend person.
In this embodiment, the fitting device 100 and the background server 200 may implement connection and interactive transmission of data through a local area network, a metropolitan area network, or a wide area network, and the like, which is not limited in the present invention.
As shown in fig. 3, in the present embodiment, when a customer comes to a store to shop for clothes, the customer may first start the browser installed on the fitting apparatus 100 to initiate a clothing access request to the backend server 200, and the backend server 200 returns information of currently sold clothing in the clothing database after receiving the clothing access request. The fitting device 100 receives the information of the currently sold clothes returned by the background server 200, and displays the corresponding clothes picture on the display screen. The interface display of the fitting device 100 screen may be implemented by an ASP file, which is a dynamic server page, and is an application replacing a CGI script program, and may interact with a Web database, and the use is convenient and simple.
As shown in fig. 4, in this embodiment, the customer may click on the picture of the clothing displayed on the display screen of the fitting apparatus 100, at this time, the fitting apparatus 100 switches to the detail page displaying the clicked clothing, and simultaneously sends the click event to the backend server 200. The background server 200 updates the total number of clicks of the clothing, and recommends the clothing with a larger total number of clicks in the first area 110 of the display screen.
The number of clicks of the customer can be counted by adopting the aspcm: visits of the ASP label, when the customer clicks the detail page, the total number of clicks is added by one, and the total number of clicks is displayed on the screen. The favorite degree of the customer on the clothing is reflected by the total number of clicks, and the higher the total number of clicks, the higher the favorite degree of the customer on the clothing is. The staff of the clothing store can refer to the type of the delivered clothing according to the total number of clicks when delivering the next item.
On the basis of the above-described embodiment, in a preferred embodiment of the present invention:
the fitting device 100 is further configured to obtain customer information and send the customer information to the backend server 200.
When the customer uses the fitting device 100 for the first time, the customer may register an account number on the fitting device, and after the account number registration is completed, the background server 200 may store customer information of the customer, such as the sex, occupation, age, favorite style, historical purchase record, and the like of the customer. Specific description may refer to the following:
cn is the number of registered customers;
c ═ C1, C2.., Ci.., Ccn }: the set of all registered customers;
for customer i there are:
CiS1 sex of customer i;
CiS2 age of customer i;
CiS3, preferred clothing style and style of customer i; the following typical styles are mainly classified: comfort, fresh and lovely, sports, formal, garden and gorgeous;
CiS4(j) the types of clothing that customer i may be related to; wherein j is the garment category; typical types of women's clothing are skirts, shirts, pants, coats, T-shirts, etc.;
CiS5(j, k) the color of customer i that is preferred for garment type j; where k is the color. 12 basic colors of red, orange, yellow, green, cyan, blue, purple, gray, pink, black, white and brown are available;
CiS6(j, l) customer i prefers clothing material j. Wherein the material is I material; typical female materials include fiber, chiffon, wool, pure cotton, wool, etc.;
in combination with all attributes, the preference information of customer i can be recorded as a set
Ci＝{CiS1，CiS2，CiS3，CiS4(j)，CiS5(j,k)，CiS6(j,l)}。
In the present embodiment, the historical purchase record information of the customer includes: the clothing information mainly comprises clothing attributes, and the clothing attributes can comprise: labels, colors, pictures, materials, styles, sizes, price ranges, etc. The customer historical purchase record information and its garment attributes may be expressed as:
HB (C, AP) { HB (C1, AP), HB (C2, AP).., HB (Ccn, AP) } the set of all customer historical purchase records.
For example, HB (Cm, APn) represents a set of garment attributes for garment n purchased by customer m.
In this embodiment, the backend server 200 may obtain the clothing information matched with the customer information and send the clothing information to the fitting apparatus 100, so that the fitting apparatus 100 displays the clothing information on the second area 120 of the display screen.
For example, the embodiment of the invention provides a goods-based collaborative filtering algorithm, and clothes with higher similarity are obtained by comparing the similarity between the clothes.
The method comprises the following implementation steps:
first, the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer are obtained.
Then, taking the clothing attributes of all currently sold clothing;
then, matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof in sequence to obtain the similarity between all currently sold garments and each garment in the historical purchase record;
and finally, sending the clothes with the similarity larger than a preset threshold value to the fitting equipment so as to display the clothes in a second area on a display screen of the fitting equipment.
In particular, the rearThe formula for the station server 200 to compare the clothing attributes of the purchased clothing in the historical purchase record with the clothing attributes of the clothing on sale in the clothing database is as follows:
wherein, HB (C)i，APX)nRepresents customer CiNth clothing attribute of purchased xth clothing, (AP)y)nAn nth clothing attribute representing a y-th clothing item in the clothing database. If the garment attributes are the same, the result is1, otherwise it is 0.
The similarity calculation formula between the currently sold clothes and each purchased clothes in the historical purchase record is as follows:
wherein q isnRepresenting an nth clothing attribute weight; and satisfy q1+q2+...+qai＝1。
And multiplying the results with the same clothing attributes by the weights, and summing to obtain the similarity of the two results.
The clothing attribute weight is obtained by obtaining preference information of the customer, for example, when the user registers, the user may be required to select preferred attributes, the background server 200 allocates the weight for setting each clothing attribute according to the selection sequence of the user, of course, the weight for adjusting the clothing attribute may also be adjusted by other manners, such as by analyzing the purchasing behavior of the user, which is not limited in the present invention.
In the present embodiment, for example, when the similarity between the clothing in the clothing database and the clothing of the historical purchase record is greater than 0.8, the clothing recommendation is displayed to the second area 120 and recommended to the customer, which facilitates the customer to acquire the clothing of his heart apparatus more quickly.
The following is a practical example to illustrate the application of the invention:
the target customer is set as customer number 2, and the customer has 5 historical purchase records as shown in table 1.
TABLE 1
| Customer number | Clothing numbering | Categories | Style of a book | Style | Material of |
| 2 | 3 | Skirt (CN) | Body shaping device | Long skirt | Pure cotton |
| 2 | 7 | Jacket | Lovely | Short money | Pure cotton |
| 2 | 9 | Trousers | Leisure chair | Trousers | Pure cotton |
| 2 | 11 | Skirt (CN) | Leisure chair | Long skirt | Blend of |
| 2 | 16 | Trousers | Leisure chair | Trousers | Blend of |
And setting the threshold value of the similarity as 0.8, and calculating the similarity value of each garment in the historical purchase record of the customer in the table and all the garments sold in the garment database by adopting a collaborative filtering algorithm based on the goods. The set of calculation results is: the recommendation list is {2,8,13}, and there are 3 pieces, as in the second area 120 of fig. 3.
As shown in fig. 5, a second embodiment of the present invention further provides an automatic clothing recommendation method, including the following steps:
s201, receiving a clothing access request initiated by a customer through a browser installed on fitting equipment;
s202, according to the clothing access request, returning information of the clothing currently sold to the fitting equipment so as to display corresponding clothing pictures on a display screen of the fitting equipment;
s203, receiving a click event of the customer to the picture of the clothing displayed on the display screen sent by the fitting device, updating the total number of clicks of the clothing according to the click event, and recommending the clothing with more total number of clicks in the first area 110 of the display screen of the fitting device.
Preferably, the method further comprises the following steps:
obtaining customer information; wherein the customer information comprises historical purchase records of customers;
acquiring the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer;
acquiring clothing attributes of all currently sold clothing;
sequentially matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof, and obtaining the similarity between all currently sold garments and each garment in the historical purchase record;
and sending the clothes with the similarity larger than the preset threshold value to the fitting equipment so as to display the clothes in a second area 120 on a display screen of the fitting equipment.
The third embodiment of the present invention further provides a background server, including: the automatic clothing recommendation system comprises a memory and a processor, wherein the memory is connected with the processor, and executable codes are stored in the memory and can be executed by the processor to realize the automatic clothing recommendation method.
According to the technical scheme, the interest degree of the customer on the clothes is obtained by automatically counting the clicking condition of the customer on the clothes fitting equipment, and the clothes with high interest degree of the customer are recommended, so that the customer can obtain the clothes of the mood instrument more quickly, and staff can know the favorite degree of the customer on each piece of clothes to serve as the style reference of the goods-taking clothes. In addition, recommended clothes generated by a recommendation algorithm based on the similarity are used for reference when the customer fits, service quality is improved, and different shopping experiences can be brought to the customer.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (9)
1. An automatic clothing recommendation system is characterized by comprising at least one fitting device with a display screen and a background server, wherein the fitting device is positioned at the front end and is in communication connection with the background server; wherein:
the fitting equipment is used for receiving a clothing access request initiated by a customer through an installed browser and sending the clothing access request to the background server;
the background server is used for returning the information of the currently sold clothes according to the clothes access request;
the fitting device is also used for receiving the information of the currently sold clothes returned by the background server and displaying the corresponding clothes picture on a display screen;
the fitting equipment is also used for receiving the click of the customer on the picture of the clothing displayed on the display screen, displaying the details of the clicked clothing and sending the click event to the background server;
the background server is further used for updating the total number of clicks of the clothing and recommending the clothing with more total number of clicks in the first area of the display screen.
2. The automatic garment recommendation system according to claim 1,
the fitting equipment is also used for acquiring customer information and sending the customer information to a background server;
the background server is further used for acquiring the clothing information matched with the customer information and sending the clothing information to the fitting equipment;
the fitting device is further configured to display the clothing information on a second area of the display screen.
3. The automatic garment recommendation system according to claim 2, wherein the customer information comprises a historical purchase record of the customer; the background server is specifically configured to:
acquiring the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer;
acquiring clothing attributes of all currently sold clothing;
sequentially matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof, and obtaining the similarity between all currently sold garments and each garment in the historical purchase record;
and sending the clothes with the similarity larger than a preset threshold value to the fitting equipment so as to display the clothes in a second area on a display screen of the fitting equipment.
4. The automatic garment recommendation system according to claim 3, wherein the formula for comparing the garment attributes of the purchased garments in the historical purchase record with the garment attributes of the on-sale garments in the garment database is as follows:
wherein, HB (C)i，APX)nRepresents customer CiNth clothing attribute of purchased xth clothing, (AP)y)nAn nth clothing attribute representing a y-th clothing in the clothing database;
the similarity calculation formula between the currently sold clothes and each purchased clothes in the historical purchase record is as follows:
wherein q isnA weight representing an nth clothing attribute; and satisfy q1+q2+...+qai＝1。
5. The automatic garment recommendation system according to claim 3, wherein the garment attributes of the garment include at least one of: category, style, material, color, price range.
6. The automatic garment recommendation system according to claim 3, wherein the attribute weight is obtained by obtaining preference information of a customer.
7. An automatic clothing recommendation method is characterized by comprising the following steps:
receiving a clothing access request initiated by a customer through a browser installed on fitting equipment;
returning the information of the currently sold clothes to the fitting equipment according to the clothes access request so as to display the corresponding clothes picture on a display screen of the fitting equipment;
and receiving a click event of the customer on the picture of the clothing displayed on the display screen, which is sent by the fitting equipment, updating the total number of clicks of the clothing according to the click event, and recommending the clothing with more total number of clicks in a first area of the display screen of the fitting equipment.
8. The automatic garment recommendation method according to claim 7, further comprising:
obtaining customer information; wherein the customer information comprises historical purchase records of customers;
acquiring the clothing attribute of each purchased clothing in the historical purchase record of the customer and the clothing attribute weight corresponding to the customer;
acquiring clothing attributes of all currently sold clothing;
sequentially matching each purchased garment in the historical purchase record with all currently sold garments according to the garment attributes and the garment attribute weights thereof, and obtaining the similarity between all currently sold garments and each garment in the historical purchase record;
and sending the clothes with the similarity larger than a preset threshold value to the fitting equipment so as to display the clothes in a second area on a display screen of the fitting equipment.
9. A backend server, comprising: a memory connected with the processor, and a processor, wherein the memory stores executable codes, and the executable codes can be executed by the processor to realize the automatic clothing recommendation method according to claim 7 or 8.
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| CN113298627A (en) * | 2021-07-21 | 2021-08-24 | 中运科技股份有限公司 | New retail store system based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113298627A (en) * | 2021-07-21 | 2021-08-24 | 中运科技股份有限公司 | New retail store system based on artificial intelligence |
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Application publication date: 20200522 |