CN204695311U - Individual commodity recommendation system - Google Patents
Individual commodity recommendation system Download PDFInfo
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- CN204695311U CN204695311U CN201520482096.XU CN201520482096U CN204695311U CN 204695311 U CN204695311 U CN 204695311U CN 201520482096 U CN201520482096 U CN 201520482096U CN 204695311 U CN204695311 U CN 204695311U
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Abstract
The utility model discloses a kind of individual commodity recommendation system, comprising: intelligent recommendation terminal and the display screen be connected with described intelligent recommendation terminal and camera; Described intelligent recommendation terminal comprises one or more processor, storer, memory controller and Peripheral Interface, and described display screen is connected with described processor by described Peripheral Interface with camera; Described intelligent recommendation terminal processes the user image data by described camera collection, and the commodity of generating recommendations or many groupings of commodities put on the design sketch after described user image data, and described in described display screen display design sketch.The utility model gathers personal attribute's data of multiple dimensions of individual, calculate and the single type commodity recommending matching degree the highest to individual or polymorphic type matched combined commodity, be that user provides optimum moulding to guide, reach the object of precisely shopping, practicality is high, and structure is simple.
Description
Technical field
The utility model relates to technical field of electronic commerce, particularly relates to individual commodity recommendation system.
Background technology
The shape data that current existing goods accounting recommended technology major part is still confined to people is adjusted, as understood the clothes fashion that the accounting human body types such as the body type of people are applicable to, because prior art is only positioned women local form data, as build size carries out simple clothing matching, but but have ignored the factors such as the aesthetic or personality heart of long-term the formed society of people is aesthetic, then sometimes not only can not effectively improve matching degree but also be a kind of risk.
Utility model content
For the deficiencies in the prior art, the purpose of this utility model is to provide a kind of goods matching commending system, the commodity of higher matching degree or goods of joint can be provided to arrange in pairs or groups for individual.
A kind of individual commodity recommendation system, comprising: intelligent recommendation terminal and the display screen be connected with described intelligent recommendation terminal and camera;
Described intelligent recommendation terminal comprises one or more processor, storer, memory controller and Peripheral Interface, and described display screen is connected with described processor by described Peripheral Interface with camera;
Described intelligent recommendation terminal processes the user image data by described camera collection, and the commodity of generating recommendations or many groupings of commodities put on the design sketch after described user image data, and described in described display screen display design sketch.
In one embodiment, described display screen is minute surface display screen.
In one embodiment, described system comprises the camera that at least two are arranged on different angles, is separately positioned on the both sides of described display screen for taking the view data of described user respectively from different perspectives.
In one embodiment, described system also comprises: the weight meter be connected with described Peripheral Interface.
In one embodiment, described weight meter is arranged on the ground in described display screen dead ahead.
In one embodiment, described system also comprises: the height detector be connected with described Peripheral Interface.
In one embodiment, described system also comprises: the skin detection instrument be connected with described Peripheral Interface.
In one embodiment, described system also comprises: the microscope be connected with described Peripheral Interface.
According to above-mentioned technical scheme, the commodity of higher matching degree or goods of joint can be provided to arrange in pairs or groups for individual.
Accompanying drawing explanation
The schematic diagram of the goods matching commending system that Fig. 1 provides for the utility model embodiment.
The schematic diagram of the intelligent recommendation terminal of the goods matching commending system that Fig. 2 provides for the utility model embodiment.
The process flow diagram of the goods matching commending system that Fig. 3 provides for the utility model embodiment.
Embodiment
Preferred implementation of the present utility model is described in detail below in conjunction with accompanying drawing.
Consult Fig. 1, the utility model embodiment provides a kind of individual commodity recommendation system 1, and it comprises intelligent recommendation terminal 10 and mobile electronic terminal 20.Intelligent recommendation terminal 10 is connected with display screen 30 and multiple sensors, and sensor such as can comprise camera 40, weight meter 50 and height detector 60.Be understandable that, weight meter 50 and height detector 60 are not necessary, and intelligent recommendation terminal 10 can also connect more sensor, such as microscope or skin detection instrument etc.
Consult Fig. 2, it is the structural representation of an embodiment of intelligent recommendation terminal 10.Intelligent recommendation terminal 10 comprises one or more (only illustrating one in figure) storer 11, processor 12, memory controller 13 and Peripheral Interface 14.These assemblies are by the mutual communication of one or more communication bus/signal wire.And above-mentioned various sensors can be connected on described Peripheral Interface 14.
One of ordinary skill in the art will appreciate that, the structure shown in Fig. 2 is only signal, and it does not cause restriction to the structure of intelligent recommendation terminal 10.Such as, intelligent recommendation terminal 10 also can comprise than assembly more or less shown in Fig. 2, or has the configuration different from shown in Fig. 2.Each assembly shown in Fig. 2 can adopt hardware, software or its combination to realize.
Storer 11 can be used for storing software program and module, and processor 12 by running the software program and module that are stored in storer 11, thus performs the application of various function and data processing.
Storer 11 can comprise high speed random access memory, also can comprise nonvolatile memory, as one or more magnetic storage device, flash memory or other non-volatile solid state memories.In some instances, storer 11 can comprise the storer relative to the long-range setting of processor 12 further, and the storer of these long-range settings can be connected to terminal 1 by network.The example of above-mentioned network includes but not limited to internet, intranet, LAN (Local Area Network), mobile radio communication and combination thereof.Processor 12 and other possible assemblies can carry out the access of storer 11 under the control storing intelligent recommendation terminal 13.
Various input/output device is coupled to processor 12 and storer 11 by Peripheral Interface 14.Various softwares in processor 12 run memory 11, instruction and perform terminal 1 various function and carry out data processing.
Display screen 30 is for showing information, being supplied to the various graphic interfaces of user profile and intelligent recommendation terminal.These graphical user interface can be made up of figure, text, icon, video and its combination in any.In an example, display screen 30 comprises a display panel.This display panel such as can be a display panels (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting DiodeDisplay, OLED) display panel, electrophoretic display panel (Electro-Phoretic Display, EPD) etc.
Further, in the present embodiment, display screen 30 can also comprise a touch-control surface, and this touch-control surface can be arranged on display panel thus to form entirety, i.e. a touch-screen with display panel.Optionally, touch-control surface can comprise touch detecting apparatus and touch intelligent recommendation terminal two parts.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation brings, and signal is sent to touch intelligent and recommends terminal; Touch intelligent recommends terminal to receive touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 12, and the order that energy receiving processor 12 is sent also is performed.In addition, the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be adopted to realize touch-control surface.
Further, display screen 30 is preferably a minute surface display screen, and namely when subscriber station stands in display screen 30 dead ahead, namely display screen can be used as mirror and use, display screen also can show image.
In a specific embodiment, the quantity of camera 40 is one.
At the Shi Lizhong that another is concrete, the quantity of camera 40 is at least two, is separately positioned on the angle that display screen 30 both sides are different, for taking the image standing on display screen 30 dead ahead user respectively from different perspectives.
The weight data detected for detecting the body weight of user, and is sent to intelligent recommendation terminal 10 by weight meter 50.
The height data detected for detecting the height of user, and is sent to intelligent recommendation terminal 10 by height detector 60.
Weight meter 50 can be connected by signal wire or by wireless network with between height detector 60 with intelligent recommendation terminal 10.
Consult Fig. 3, it is that intelligent recommendation terminal 10 recommends the process flow diagram of personalized commercial to user.As shown in Figure 3, this flow process comprises the following steps:
Step S11, described intelligent recommendation terminal gathers personal attribute's data of multiple dimensions of individual, and calculate according to personal attribute's data and obtain personal style categorical data, described personal attribute's data comprise appearance attribute and social mentality's attribute;
Step S12, obtains available inventory, and each commodity in described inventory have the item property data and commodity stylistic category data that obtain in advance;
Step S13, according to the matching degree between described personal attribute's data, personal style categorical data, item property data commodity stylistic category data and the predefined rule described user of calculating and commodity or many groupings of commodities to obtain the highest commodity of matching degree or many groupings of commodities;
Step S14, processes the described user image data by described camera collection, generate the highest commodity of described matching degree or many groupings of commodities put on described user after design sketch; And
Step S15, design sketch described in described display screen display.
In the present embodiment, personal attribute's data that intelligent recommendation terminal 10 gathers comprise: header data, face data, body type data, personality data, aesthetic deflection data, social mentality's data, wherein, header data, face data, body type market demand are observed the method measured or scan and are obtained quantification result of determination, and personality data, aesthetic deflection data, social mentality's market demand questionnaire method obtain and quantize result of determination.
Above-mentioned header data example can comprise: capitiform data (describing the overall profile of head), hair style data (comprising hair style kind and color).Above-mentioned face data such as can comprise: the model data of shape of face data and face and skin race and color data.Above-mentioned figure data such as can comprise the model data of height, body weight, health.
Above-mentioned personality data example can comprise: makings data, personality data, these two from psychological study, can obtain by questionnaire by inquiry.
Aesthetic deflection data can comprise the preference data of people to color, and wherein color comprises monochrome, collocation of colour, colour system, color data investigation point two dimensions: the color liked and the color do not liked.
Meanwhile, aesthetic deflection data also comprise the preference data of people to Aesthetic Style, as active, gracefulness, mystery, noble quality, enthusiasm etc.
Social mentality's packet is containing the age data of a people, and occupation data.
In a specific embodiment, the process gathering personal attribute's data is as follows: intelligent recommendation terminal 10 calls the view data that camera 40 takes user, obtains above-mentioned header data, face data, body type data etc. according to the analysis of image data of user.Attached outside this, intelligent recommendation terminal 10 can also show questionnaire on the display 30, and the questionnaire result according to user's input calculates above-mentioned personality data, aesthetic deflection data and social mentality's data.According to this mode, arbitrary intelligent recommendation terminal can complete the collection of personality data, aesthetic deflection data and social mentality's data.
In another specific embodiment, the process gathering personal attribute's data is as follows: can store above-mentioned personal attribute's data in mobile electronic terminal 20, user can be bound mutually by the mode of scanning display Quick Response Code on the display 30 and intelligent recommendation terminal 10, after binding, personal attribute's data that mobile electronic terminal 20 can be stored directly send to intelligent recommendation terminal 10, or by intelligent recommendation terminal 10 that transfer server is transmitted to.So, user need not select to input questionnaire during commodity at every turn, convenient.
In the present embodiment, each personal attribute's collection value gets one or more value in this personal attribute's type selecting territory, when described personal style computing module calculates and obtains personal style categorical data, if personal attribute's collection value of corresponding multiple dimension is respectively P1, P2, P3, Pn, then P (P1, P2, P3,, Pn) and form individual stylistic category data, wherein n is the number of dimensions of personal multiple attribute.
In the present embodiment, when personal attribute's collection value gets the multiple value in this personal attribute's type selecting territory, choose and mate one most for main value, when personal attribute's collection value gets a value in this personal attribute's type selecting territory, directly getting this value is main value, the personal attribute of corresponding multiple dimension gathers the main air lattice categorical data that main value combination forms individual, and the combination of all the other collection values forms the secondary stylistic category data of individual.
In the present embodiment, item property data comprise: commodity shape data, commodity size data, commodity color data, commodity material quality data, commodity aesthetics data, commodity use occasion data, commodity age of user data, Commodity colour collocation data, commodity pattern data, commodity decorative element data, commodity process data, commodity style data, commodity price data.
The profile of above-mentioned commodity shape data definition commodity, it can be simple profile title, also can be detailed profile data of description (obtaining by measuring or scanning).
The size of above-mentioned commodity size data definition commodity, it can be simple size such as XL, L, M, S etc., also can comprise detailed size (length, even more detailed feature dimensions), detailed size also can obtain by measuring or scanning.
The color of commodity color data definition commodity, it can be that simple color designation is such as red, green etc., also can be color code, such as #3322de, comprise form and aspect, lightness and purity three data in this single datum simultaneously, for the three-dimensional model of commodity, the color of everywhere in model can also be recorded.Also comprise Commodity colour collocation, color area, the data such as color psychology effect simultaneously.
Commodity material quality data refers to and manufactures the raw-material material that acts on of commodity, be such as silk quality, flax, wool, pure silk floss or, leather, plastics, jade, diamond, metal etc.
Commodity aesthetics data refer to the physiological data that people presents commodity, comprise as: active, graceful, steady, mysterious, lovely, noble etc.Above-mentioned commodity age of user data refer to the age of user that each commodity are suitable for.Such as, commodity age of user data can comprise age bracket, such as a 20-30.
Commodity colour collocation data refer to that commodity are applicable to the data of with which this color carrying out arranging in pairs or groups.Commodity colour collocation data can comprise a color inventory, each color have one with the collocation degree of current commodity color.This collocation degree can be calculate according to algorithm, also directly can specify editor by with designer.Further, also can distinguish for different positions, such as, if current commodity is jacket in Commodity colour collocation data, can Commodity colour collocation data in define respectively trousers and shoes Commodity colour collocation data, that is trousers can be different from the tie-in sale data of shoes.
The pattern characteristics on commodity pattern data definition commodity surface, it directly can comprise the pattern on commodity surface, is the mode can also recording pattern re-treatment extended in a repetitive fashion for pattern.
The ornament on commodity decoration data definition commodity surface or be embedded in the decorative article on commodity surface: as metal finishing, tasselled, paillette, iron chain, slide fastener, belt, lace, embroidery, all kinds of year beading, the commodity process data definition such as rope band make commodity time the technique taked, this technique comprises and makes the technique that these commodity act on material and also comprise the technique taked when being combined into one by commodity each several part: as stone mill, do to print and dye old, white, by hand, tear, hollow out etc.
Commodity style data refers to the style data that the history culture element that history that commodity aesthetics element presents, region, culture precipitate is polymerized, as: Baroco style, Rococo style, punk, Broadway style, Chinese the Republic of China style, the twenties style, surrealism style, POP style etc.
The price of commodity price data definition commodity, such as can comprise independent commercial value, to the discount of other tie-in sales and other data relevant with commodity price arbitrarily.
In the present embodiment, each item property collection value gets one or more value in this item property type selecting territory, when described commodity style computing module calculates and obtains commodity stylistic category data, if the item property collection value of corresponding multiple dimension is respectively G1, G2, G3, Gm, then G (G1, G2, G3,, Gm) and form the stylistic category data of commodity, wherein m is the number of dimensions of commodity multiple attributes.
In the present embodiment, described predefined rule comprises many rules, every rule definition matching condition, matching value computation model and weight, the condition that described matching condition definition personal attribute data, item property data, personal style categorical data or commodity stylistic category data meet, described matching value computation model defines the computing formula of a fixing matching value or matching value, and the matching degree of described user and commodity calculates according to the matching value of every rule and Weight;
Described intelligent recommendation terminal often plants commodity to this inventory or many groupings of commodities calculate matching degree, choose the highest commodity of matching degree or many groupings of commodities as recommendation coupling commodity, the matching degree of described many groupings of commodities is obtained by the matching degree weighted calculation of commodity each in grouping of commodities.
In one embodiment, above-mentioned step S13 recommends single commodity to user, its method is as follows: the coordination matched rule providing personal attribute and the type item property, every bar coordinates the matching value that matched rule has proportion type, to the personal style categorical data of specifying, according to coordination matched rule, deduce and calculate in commodity data thesaurus, the matching value of often kind of commodity stylistic category in the type commodity, chooses the highest commodity of matching value as recommendation coupling commodity.
In one embodiment, above-mentioned step S13 recommends many groupings of commodities to user, its method is as follows: the coordination matched rule providing personal attribute and item property, item property and item property, every bar coordinates the matching value that matched rule has proportion type, from personal style categorical data, according to coordination matched rule, deduce and calculate in commodity data thesaurus, often organize the matching value of polymorphic type matched combined commodity, select matching value the most much higher type matched combined commodity as recommendation polymorphic type matched combined commodity.
The coordination matched rule of the personal attribute that rule provides module to provide and the type item property and the coordination matched rule of item property and item property are originated and can be divided into two classes, one class is that designer carries out collocation and input system, another kind of is the commodity selection collocation behavior of system records user, carries out correlation analysis obtain according to record result.
In the present embodiment, recommend the example of the highest single type commodity of matching degree to be: if the selected foundation emulsion of user, then only need get individual colour of skin data and foundation emulsion color data carries out optimum matching.
In the present embodiment, the method of recommendation matching degree the most much higher type matched combined commodity is: if user needs to select a complete set of articles for use of making up simultaneously, then need to get personal attribute's data, the Pn categorical data value coupling pointed to after comprising the comprehensive accountings such as the colour of skin, age, occupation, preference.Get each category color value of cosmetics simultaneously, as foundation emulsion, rouge, eye shadow, Gao Guang, nose shadow, informer etc., mate with commodity style Gm value in commodity storehouse.Last PN value and GM value match, and obtain optimum value.
In the present embodiment, the commodity that output matching is recommended and tie-in sale result such as refer to and tie-in sale result to be presented on screen, audibly to export or send to other equipment (such as client or other mobile terminals) to show.
Further, described system comprises the camera that at least two are arranged on different angles, for taking the view data of described user respectively from different perspectives.First intelligent recommendation terminal 10 sets up the three-dimensional model of described user according to the view data of the user of different angles shooting, then is applied to by the model of described commodity on the three-dimensional model of described user.
In one embodiment, the commodity that user selects also are synchronized to described intelligent recommendation terminal 10 by mobile electronic terminal 20, and these commodity are also applied in the user image data of display by intelligent recommendation terminal 10 after receiving the synchronous commodity of mobile electronic terminal 20.
In one embodiment, the items list that user selects is synchronized to mobile electronic terminal 20 according to the confirmation result of user by intelligent recommendation terminal 10, and mobile electronic terminal 20 generates corresponding order according to described items list; Or according to user, intelligent recommendation terminal 10 also confirms that the operation bought directly generates corresponding order.
In a specific embodiment, above-mentioned personal attribute's collection value has tree, as shown in the table:
Wherein, the value of end child node can directly collect, such as user chooses, and the value of the father node of each level adopts certain empirical rule to calculate according to the value of its child node.
In a specific embodiment, above-mentioned item property collection value also has tree, as shown in the table:
Value due to father node calculates according to the value of child node, that is in fact father node can replace by a value calculating that multiple value carries out matching degree, calculated amount can be reduced, promote the counting yield of matching degree, and under a little situation, adopt the value of father node to calculate the result of matching degree also more accurate.
The foregoing is only embodiment of the present utility model; not thereby the scope of the claims of the present utility model is limited; every utilize the utility model instructions and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present utility model.
Claims (8)
1. an individual commodity recommendation system, is characterized in that, comprising: intelligent recommendation terminal and the display screen be connected with described intelligent recommendation terminal and camera;
Described intelligent recommendation terminal comprises one or more processor, storer, memory controller and Peripheral Interface, and described display screen is connected with described processor by described Peripheral Interface with camera;
Described intelligent recommendation terminal processes the user image data by described camera collection, and the commodity of generating recommendations or many groupings of commodities put on the design sketch after described user image data, and described in described display screen display design sketch.
2. individual commodity recommendation system as claimed in claim 1, it is characterized in that, described display screen is minute surface display screen.
3. individual commodity recommendation system as claimed in claim 1, it is characterized in that, described system comprises the camera that at least two are arranged on different angles, is separately positioned on the both sides of described display screen for taking the view data of described user respectively from different perspectives.
4. personalized port commending system as claimed in claim 1, is characterized in that, also comprise: the weight meter be connected with described Peripheral Interface.
5. personalized port commending system as claimed in claim 4, is characterized in that, described weight meter is arranged on the ground in described display screen dead ahead.
6. personalized port commending system as claimed in claim 1, is characterized in that, also comprise: the height detector be connected with described Peripheral Interface.
7. personalized port commending system as claimed in claim 1, is characterized in that, also comprise: the skin detection instrument be connected with described Peripheral Interface.
8. personalized port commending system as claimed in claim 1, is characterized in that, also comprise: the microscope be connected with described Peripheral Interface.
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| CN201520482096.XU CN204695311U (en) | 2015-07-03 | 2015-07-03 | Individual commodity recommendation system |
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| CN201520482096.XU CN204695311U (en) | 2015-07-03 | 2015-07-03 | Individual commodity recommendation system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977873A (en) * | 2016-10-25 | 2018-05-01 | 周海杭 | Online Video is done shopping and auction system |
| CN107993599A (en) * | 2017-12-29 | 2018-05-04 | 黄睿 | A kind of clothes recommend method and advertisement machine |
| CN110298730A (en) * | 2019-06-18 | 2019-10-01 | 武汉久客网络科技有限公司 | Commodity method for pushing and equipment based on machine learning algorithm under new retail mode |
| CN111598666A (en) * | 2020-05-20 | 2020-08-28 | 正则控股有限公司 | Commodity recommendation method based on data analysis |
-
2015
- 2015-07-03 CN CN201520482096.XU patent/CN204695311U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977873A (en) * | 2016-10-25 | 2018-05-01 | 周海杭 | Online Video is done shopping and auction system |
| CN107993599A (en) * | 2017-12-29 | 2018-05-04 | 黄睿 | A kind of clothes recommend method and advertisement machine |
| CN110298730A (en) * | 2019-06-18 | 2019-10-01 | 武汉久客网络科技有限公司 | Commodity method for pushing and equipment based on machine learning algorithm under new retail mode |
| CN111598666A (en) * | 2020-05-20 | 2020-08-28 | 正则控股有限公司 | Commodity recommendation method based on data analysis |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
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Granted publication date: 20151007 Termination date: 20170703 |