CN101206749A - Merchandise recommending system and method thereof - Google Patents
Merchandise recommending system and method thereof Download PDFInfo
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- CN101206749A CN101206749A CNA2007101069911A CN200710106991A CN101206749A CN 101206749 A CN101206749 A CN 101206749A CN A2007101069911 A CNA2007101069911 A CN A2007101069911A CN 200710106991 A CN200710106991 A CN 200710106991A CN 101206749 A CN101206749 A CN 101206749A
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Abstract
The present invention relates to a merchandise recommending system, and it is an object of the present invention is to derive recommended merchandise through a multiple image search, in which image characteristic information is extracted through a text search or an image search, thereby deriving recommended merchandise. To accomplish the above object, according to one aspect of the present invention, there is provided an operator server comprising a data receiving unit for receiving a 'merchandise search request signal' containing a text search or an image search (request) from the user computer and receiving a unique identification number of each user input information and merchandise information together with a corresponding matching table from the manager computer, a matching process module unit for sequentially arranging images by performing a command processing on search keywords that are searched through the characteristic information extraction module unit, a merchandise recommendation module unit for deriving recommended merchandise using the image characteristic information according to a search result, a data transmission unit for transmitting the merchandise extracted through the merchandise recommendation module unit to the user computer, and a data storage unit stores the user input information, merchandise information, unique identification numbers, and matching table.
Description
Technical field
[01] the present invention relates to a kind of commercial product recommending system, more particularly, relate to and a kind ofly draw the commercial product recommending system and the method thereof of Recommendations, wherein by multiple image search, extract image feature information by text search or picture search, thereby draw Recommendations.
Background technology
[02] relevant with traditional commodities commending system technology comprises that (use virtual portrait clothes are bought the creation commending system of information in the early stage publication application of Korea S 2005-0017534 number, call " prior art " in the following text), and have multiple technologies to carry out patented claim and registration.
[03] as shown in Figure 1, the creation commending system of prior art comprises: Internet server, and it is used to operate and manage the internet website that provides virtual portrait to dress up service and clothes recommendation service to the user; Shopping center clothes information collecting server, it is used to collect the relevant toggery information of clothes of being sold with the clothes shopping center, a plurality of the Internet that operates on the Internet; Virtual portrait clothes information management server, it is used for being used for collecting the virtual portrait clothes and buying information according to virtual portrait the making of service of dressing up; Be used to provide the clothes recommendation server of clothes recommendation service, the dress up clothes of service-user of its virtual portrait that analyze to use virtual portrait clothes to buy information are bought preference, are bought the closely-related clothes of preference and recommend to be fit to the true clothes that the user samples from toggery information search and this clothes; And database, it is used for storing virtual personage clothes and buys information, toggery information and clothes purchase preference information.
[04] as mentioned above, if the user buys virtual portrait clothes on the Internet virtual portrait of dressing up, so that it looks like he or she oneself, then prior art provides suitable user's creation recommendation service by virtual portrait clothes purchase information.But, owing to the virtual portrait of dressing up after, recommend corresponding clothes, so have a problem to the user, promptly the clothes scope that can select of user only limits to the virtual portrait clothes.
[05] in addition, in the prior art, owing to can only confirm user's clothes preference by virtual portrait clothes purchase information, so should use the virtual portrait service of dressing up, so that the creation recommendation service to be provided, therefore have a problem, promptly need extra cost and time.
[06] simultaneously, though in the cyberspace at present used virtual portrait represent to represent user in the cyberspace user by icon (comprising jewelry, clothes etc.), rather than represent the user truly by user's the bodily form, taste and appearance.Therefore, even recommend to be fit to the clothes that the user samples to the user, can not determine whether the clothes of being recommended are fit to user (buyer) according to the virtual portrait clothes.
[07] in other words, a problem is arranged,, can not confirm in advance whether the clothes of being bought are fit to user's the bodily form although promptly the user buys clothes according to the preference of oneself.
Summary of the invention
[08] therefore, proposed the present invention in order addressing the above problem, and first purpose of the present invention to be to extract image feature information by text search or picture search, thereby to draw Recommendations.
[09] second purpose of the present invention is that virtual portrait by the expression user bodily form makes user (buyer) be easy to confirm the applicability of the commodity recommended.
[10] the 3rd purpose of the present invention is the execution stack program, so that can draw the Recommendations that extract according to image feature information according to the order of priority successively.
Description of drawings
[11] according to the preferred embodiment that hereinafter describes in detail in conjunction with the accompanying drawings, can be well understood to above-mentioned and other purpose of the present invention, characteristics and advantage.Appended figure comprises:
[12] Fig. 1 is the view that shows the configuration of the traditional creation commending system that uses the virtual portrait clothes to buy information;
[13] Fig. 2 a is the block diagram that shows according to the illustrative configurations of passing through the commercial product recommending system that multiple image search draws Recommendations of the first embodiment of the present invention;
[14] Fig. 2 b is the view that shows according to the configuration of passing through the commercial product recommending system that multiple image search draws Recommendations of the first embodiment of the present invention;
[15] Fig. 3 is the view that shows the virtual portrait of creating according to the essential information based on the user of the first embodiment of the present invention;
[16] Fig. 4 is pass through the process flow diagram that multiple image search for draw the commercial product recommending method of Recommendations of general description according to the first embodiment of the present invention;
[17] Fig. 5 is the view that shows according to the screen of uploading pattern of the first embodiment of the present invention;
[18] Fig. 6 is the process flow diagram of detailed description according to the step of the reception " commercial articles searching request signal " of the first embodiment of the present invention;
[19] Fig. 7 a is the view that shows according to the contour images registration tool of the first embodiment of the present invention;
[20] Fig. 7 b is the view that shows the instrument of creating according to the profile of the first embodiment of the present invention;
[21] Fig. 8 is the view that shows according to the profile projects combo instrument of the first embodiment of the present invention;
[22] Fig. 9 is the view that shows according to the pattern image registration tool of the first embodiment of the present invention;
[23] Figure 10 is the view that shows according to the commodity registration tool of the first embodiment of the present invention;
[24] Figure 11 shows the view that draws the screen of commodity according to the use text search of the first embodiment of the present invention;
[25] Figure 12 is the view that shows according to the screen that draws Recommendations of the first embodiment of the present invention;
[26] Figure 13 is the view that shows according to the virtual portrait of wearing Recommendations of the first embodiment of the present invention;
[27] Figure 14 shows the view that draws the screen of commodity according to the use picture search of the first embodiment of the present invention;
[28] Figure 15 is the view that the illustrative configurations of the system of recommending the commodity that profile, pattern and color be complementary according to qualifications according to a second embodiment of the present invention is described;
[29] Figure 16 is the process flow diagram that the method for recommending the commodity that profile, pattern and color be complementary according to qualifications according to a second embodiment of the present invention is described.
Embodiment
[30] by the following preferred embodiment that describes in detail with reference to accompanying drawing, characteristics of the present invention and advantage will become apparent.Used term and wording must be interpreted as technology purport according to the invention in whole part instructions and claims implication and notion, and abide by the principle: the inventor can suitably define term in order to explain its invention in the mode of the best.In addition, in the following description, it should be noted that and no longer known function and structure to be elaborated, in order to avoid unnecessarily obscure purport of the present invention.
[31] following with reference to the commercial product recommending system of Fig. 2 a to 3 explanation according to the first embodiment of the present invention.
[32] Fig. 2 a is the block diagram that shows according to the illustrative configurations of passing through the commercial product recommending system that multiple image search draws Recommendations of the first embodiment of the present invention, Fig. 2 b is the view that shows according to the configuration of passing through the commercial product recommending system that multiple image search draws Recommendations of the first embodiment of the present invention, and Fig. 3 is the view that shows the virtual portrait of creating according to the essential information based on the user of the first embodiment of the present invention.
[33] shown in Fig. 2 a, the commercial product recommending system that draws Recommendations by multiple image search according to the present invention comprises subscriber computer 100, seller's computing machine 200, administrator computer 300 and operator's server 400.With reference to Fig. 2 b its function separately is described below.
[34] at first, in the present embodiment, subscriber computer 100 comprises a plurality of users or the buyer by commercial product recommending system search or purchase commodity.The user can be at the commodity in use commending system afterwards of joining.The affiliation program is well-known, will no longer describe.Simultaneously, subscriber computer 100 also comprises a plurality of sellers, and can upload seller's merchandise news.
[35] as shown in Figure 2, subscriber computer 100 receives the user's input information that comprises personal information data, search condition data and upload data from the user, come search commercial articles by text search or picture search, and show the virtual portrait view of wearing the Recommendations image, so that the user can confirm commodity.Subscriber computer comprises data input module unit 110, commercial articles searching modular unit 120, virtual portrait creating unit 130, display unit 140, storage unit 150 and transmission unit 160.
[36] specifically, data input module unit 110 receives user's input information from the user, receive " the buying the approval confirmation signal " that is used for user's input information from administrator computer 300, and receive the commodity image that institute extracts or recommends from operator's server 400.
[37] in addition, user's input information also comprises personal information data, search condition data and uploads data.The personal information data comprise user's personal information, for example age, height, body weight, chest measurement, waistline, hip circumference, sex, the colour of skin, the bodily form etc.The search condition data comprise application target, field of employment, use object, notion of commodity etc.Upload data and comprise color, pattern, profile, image, commodity etc.
[38] on this point, when data input module unit 110 when the user receives user's input information, preferably receive simultaneously " commercial articles searching request signal ", because as mentioned above, the user imports personal information data, search condition data and uploads data, with search commercial articles.
[39] here, can propose by the user owing to upload profile included in the data, pattern, color etc., and also can order, therefore need keeper's approval in addition so that it is uploaded.Specifically, contour images and the pattern data with expression commodity common version comes structural configuration database (DB).Contour images and pattern data are made by keeper or user, and are registered in the database.During the registration profile, register contour images together with information such as sex, age, season, styles.During registered design, together with information registered design images such as material, pattern characteristics (horizontal line, decorative pattern, conventional symbols, English letter etc.), overall main colors.In addition, the essential information that the merchandising database registration is relevant with the commodity of real trade, for example photo, price, quantity, detailed description etc., selected corresponding contour images or pattern image, and additional information, for example sex, age, season, style, material, pattern characteristics (horizontal line, decorative pattern, conventional symbols, English letter etc.), overall main color etc.If have the website of the detailed classification of suitable profile, pattern, color etc., then analyze corresponding website in advance, and the identical code system of the code of registering in use and the outline data storehouse is registered in classification information in the category database.It is such analyzing the corresponding website and the method for constructs database in advance, connect by the TCP/IP socket after the image and data of collecting corresponding website once a day or with particular time interval, data content is stored in the following matching list that will illustrate, and stores the image in the corresponding file folder.Simultaneously, if register the merchandise news registered in other websites etc., then connect and the key element mark of the commodity in use page is collected commodity data, and register according to key class by above-mentioned TCP/IP socket.
[40] commercial articles searching modular unit 120 comes search commercial articles by text search or picture search.Specifically, for the execution contexts search, at first carry out the key word first search according to user's input information, search comprises the classification of key word then.For the carries out image search, select image by key word or classification, thus the search commercial articles image.
[41] simultaneously, in picture search, can use the image that draws from this paper search to come searching image.That is to say, can be according to the Search Results that is drawn from image feature information search key and classification.On this point,, then can use the quantity of key word and toply draw a plurality of optimized images if drawn a plurality of images.
[42] virtual portrait creating unit 130 is created user adaptation virtual portrait images, and it represents the user according to personal information data (comprising user's sex, age, height, body weight, chest measurement, waistline, hip circumference etc.).
[43] in other words, as shown in Figure 3, virtual portrait creating unit 130 waits by age, height, body weight, chest measurement, waistline, hip circumference, sex, the bodily form of selecting or import the user and creates user adaptation health virtual portrait, and by selecting the shape of face, hair style, the colour of skin etc. or finishing user's oneself virtual portrait by the facial photo of uploading user oneself.
[44] display unit 140 has shown the virtual portrait of being created, the commodity image that its dress is recommended by commercial articles searching, so that the user can confirm the commodity image recommended, this also can confirm by independent output unit.That is to say that because virtual portrait is represented user's the shape of face and the bodily form similarly, so the user can determine whether the commodity of being recommended are suitable by observing the virtual portrait of wearing the commodity image.
[45] storage unit 150 is stored virtual portrait of being created and the user's input information that receives from the user.
[46] transmission unit 160 receives the request of text search or picture search from the user, and transmits " commercial articles searching request signal " and user's input information.
That is to say that [47] transmission unit transfers to " commercial articles searching request signal " operator's server 400 and user's input information is transferred to administrator computer 300.
[48] then, seller's computing machine 200 receives merchandise news from the seller, so that a plurality of sellers can vending articles, will corresponding " sale request signal " and merchandise news be transferred to administrator computer 300, and receive " sell and ratify confirmation signal " from administrator computer 300 according to the registration of merchandise news.
[49] on this point, use independent commodity registration tool, coming registration goods by the merchandise news of selecting to define in this instrument, and merchandise news comprises sex, age, season, style, material, pattern-information and other details.
[50] specifically, other details comprise the information relevant with the Ms, for example jewelry, trousers, upper garment, overcoat, suitcase, cardigan, jacket, vest, jacket, knit garment, cap, shoes, shirt, skirt, socks etc., perhaps comprise the information relevant, for example jewelry, trousers, overcoat, suitcase, cardigan, jacket, vest, jacket, knit garment, cap, shoes, shirt, socks etc. with the man.
[51] simultaneously, during the registration profile, register contour images together with information such as sex, age, season, styles.During registered design, together with information registered design images such as material, pattern characteristics (horizontal line, decorative pattern, Taiji symbol, English letter etc.), overall main colors.During registration goods, register the essential information relevant with commodity, for example photo, price, quantity, detailed description etc., and selection is fit to the contour images and the pattern image of commodity, its registered in advance is in operator's server 400, and information such as extra registration sex, age, season, style, material, pattern, color, classification.
[52] then, administrator computer 300 is approved the user's input information and the merchandise news of subscriber computer 100 and 200 inputs of seller's computing machine, at the unique identification number of each information creating, and the structure matching list, so that user's input information and merchandise news are mated mutually.Administrator computer comprises: boundary element 310; Approval process unit 320, it is used to determine whether to ratify user's input information and merchandise news; And matching list modular unit 330.
[53] at first, boundary element 310 receives user's input information and the merchandise news by subscriber computer 100 and 200 inputs of seller's computing machine, " the selling the approval confirmation signal " that will be used for " buy approval confirmation signal " of user's input information and be used for merchandise news is transferred to subscriber computer 100 and seller's computing machine 200, and user's input information and each unique identification number of being created of merchandise news are transferred to operator's server 400 together with corresponding matching list.
[54] matching list modular unit 330 is at being contained in each item number in user's input information and the merchandise news according to creating unique identification number, and the structure matching list, with search commercial articles swimmingly.The matching list modular unit comprises: table module 331, and it is used to comprise classification information, season, color, pattern, sex, purposes, material etc.; Unique identification number creation module 332, it is used to corresponding to each item number of user's input information and merchandise news according to creating recognizable unique identification number; Image processing module 333, it uses the image information that is comprised in user's input information and the merchandise news that image feature information is inserted in the matching list; And matching module 334, it is used for table module 331 and unique identification number are mated mutually.
[55] below detailed description is shown the information registered in the module 331.During the registration profile, register contour images together with information such as sex, age, season, styles.During registered design, together with information registered design images such as material, pattern characteristics (horizontal line, decorative pattern, Taiji symbol, English letter etc.), overall main colors.During registration goods, register the essential information relevant with commodity, for example photo, price, quantity, detailed description etc., and selection is fit to the contour images and the pattern image of commodity, its registered in advance is in operator's server 400, and information such as extra registration sex, age, season, style, material, pattern, color, classification.Therefore, when user by selecting profile, pattern and color are come construct image, recommend to be fit to the commodity of this image.That is to say,, then analyze the classification of corresponding website in advance and it is configured to database if having the website of the detailed classification of suitable profile, pattern, color etc., and the image under the classification of automatic recommendation and the handled images match of user.
[56] image processing module 333 inserts characteristic information by scrambler, and uses demoder to come analytical characteristic information.
That is to say that [57] image processing module comprises: the scrambler (not shown), it is used to insert characteristic information; And the demoder (not shown), it is used for analytical characteristic information.As a reference, the technology that is used to insert characteristic information comprise that watermark, image header information are handled, the location mode of data file and layered approach etc.
[58] simultaneously, operator's server 400 receives " commercial articles searching request signal, and draw the commodity image according to the image information that text search or picture search obtain from subscriber computer 100.Operator's server comprises Data Receiving unit 410, characteristic information extracting module unit 420, matcher modular unit 430, commercial product recommending modular unit 440, data transmission unit 450 and data storage cell 460.
[59] Data Receiving unit 410 receives " the commercial articles searching request signal " that comprises text search or picture search (request) from subscriber computer 100, and receives the unique identification number and the corresponding matching list of each user's input information and merchandise news from administrator computer 300.
[60] characteristic information extracting module unit 420 search of response " commercial articles searching request signal " execution contexts or picture search, and extract image feature information.The characteristic information extracting module unit comprises: text search module 421, it carries out the key word first search according to user's input information, and according to the text input from corresponding to search text word information the table of definition command, to extract image feature information; And image search module 422, it extracts image feature information from the matching list that comprises image information and unique identification number under the situation of picture search.
[61] in addition, image search module 422 can use the image that draws by text search to come searching image, and promptly image search module can be according to the Search Results that is drawn from image feature information search key and classification.
[62] on this point,, then can come these images of comparison, to draw a plurality of optimized images by layered approach if draw a plurality of images.
[63] then, 430 pairs of search key fill orders that search by characteristic information extracting module unit 420 of matcher modular unit are handled, to be arranged in order image.The matcher modular unit comprises matcher module 431, and it is used for searching for unique identification number according to search information; The key word of search subscriber input again in Search Results, and handle order corresponding to these key words; And storehouse module 432, it uses the characteristic information of image and layer value to begin to be arranged in order from the optimized image that searches.
[64] as a reference, storehouse has the parallel and serial structure that comprises image feature information, key word and image layer value.That is to say that basically, the quantity according to (coupling) search key that each image had is stored in the image in the classification in the storehouse at first.Purpose is to handle jointly by storehouse also to show the image that searches in an orderly manner, rather than shows the image that searches at random for the purpose of search fast.Therefore, store the image that in classification, searches according to these key words by storehouse at first.In storehouse, use the characteristic information and the layer value of each image of being stored, the optimized image that searches is stored in the front portion of the region of search in the storehouse, and will have identical layer value but the image feature information less image corresponding with these key words is placed on the rear portion of stack region, thereby be arranged in order image.The storehouse of the image that is arranged in order is transferred to search system, thereby will arrange good image and send the user jointly to.On this point, quantity according to keywords, order top and image feature information are determined priority, but be the invention is not restricted to this.
[65] commercial product recommending modular unit 440 uses image feature information to draw Recommendations according to Search Results.
[66] in other words, come the comparison information relevant with registration goods in conjunction with selected image information with detection.Come search commercial articles according to precision and similarity, and draw commodity by the order of degree of precision and similarity.
[67] data transmission unit 450 will transfer to subscriber computer 100 by the commodity that commercial product recommending modular unit 440 extracts.
[68] data storage cell 460 storage user's input informations, merchandise news, unique identification number and matching list.
[69] hereinafter with reference to a kind of commercial product recommending method of Fig. 4 to 14 explanation, the multiple image search in its system that disposes as shown in Figure 2 by first embodiment according to the invention described above draws Recommendations.
[70] Fig. 4 is pass through the process flow diagram that multiple image search for draw the commercial product recommending method of Recommendations of general description according to the first embodiment of the present invention; Fig. 5 is the view that shows according to the screen of uploading pattern of the first embodiment of the present invention; Fig. 6 is the process flow diagram of detailed description according to the step of the reception " commercial articles searching request signal " of the first embodiment of the present invention; Fig. 7 a is the view that shows according to the contour images registration tool of the first embodiment of the present invention; Fig. 7 b is the view that shows the instrument of creating according to the profile of the first embodiment of the present invention; Fig. 8 is the view that shows according to the profile projects combo instrument of the first embodiment of the present invention; Fig. 9 is the view that shows according to the pattern image registration tool of the first embodiment of the present invention; Figure 10 is the view that shows according to the commodity registration tool of the first embodiment of the present invention; Figure 11 shows the view that draws the screen of commodity according to the use text search of the first embodiment of the present invention; Figure 12 is the view that shows according to the screen that draws Recommendations of the first embodiment of the present invention; Figure 13 is the view that shows according to the virtual portrait of wearing Recommendations of the first embodiment of the present invention; Figure 14 shows the view that draws the screen of commodity according to the use picture search of the first embodiment of the present invention.
[71] at first, as shown in Figure 4, operator's server 400 receives " commercial articles searching request signal " S2 from subscriber computer 100.
[72] specifically, in the step S2 that receives " commercial articles searching request signal ", subscriber computer 100 receives the user's input information that comprises personal information data, search condition data and upload data from the user, and user's input information is transferred to administrator computer 300.
[73] as a reference, after the user obtains keeper's approval, pattern data is uploaded in the step of operator's server 400, as shown in Figure 5, if user's registered design, then pattern is shown in the pattern tabulation as element " user's pattern ", thereby the user can select pattern.The user also can select the position and the pattern itself of pattern.
[74] here, can propose by the user owing to upload profile included in the data, pattern, color etc., and also can order, therefore need keeper's approval in addition so that it is uploaded.
[75] simultaneously, for vending articles, seller's computing machine 200 is transferred to administrator computer 300 with corresponding " sale request signal " and merchandise news.
That is to say that [76] as shown in Figure 6, administrator computer 300 receives user profile and merchandise news S2a.
[77] administrator computer 300 determines whether to ratify the user's input information and the merchandise news S2b that are received, establishment comprises the table S2c of classification information, season, color, pattern, sex, purposes, material etc., for corresponding to each item number of user's input information and merchandise news according to creating recognizable unique identification number S2d, and the structure matching list, should show to mate S2e mutually with unique identification number.
[78] specifically, in the step S2e of structure matching list, at first, for structural configuration and pattern database and merchandising database, carry out the program of registration contour images registration tool, profile establishment instrument, profile projects combo instrument, pattern image registration tool and commodity registration tool.
[79] shown in Fig. 7 a, the contour images registration tool comprises contour images log-in window 202, is used to show the classification window 204 and the log-on message selection window 206 of corresponding contour images classification.
[80] on this point, log-on message preferably includes sex, age, season, style etc.Therefore, want the user who registers contour images to use this instrument input contour images and characteristic information thereof, and the registration contour images.
[81] registration process is such, promptly makes contour images, by contour images log-in window 202 contour images of making is uploaded, and selects window 206 to select contour feature information by log-on message, and presses registration button and finish registration.On the other hand, shown in Fig. 7 b, profile is created instrument not only can create the front side 220 of profile, and can create rear side 221, left side 222 and the right side 223 of profile.
[82] in addition, profile projects combo instrument shown in Figure 8 comprises basic clothes selection window 224, selected clothes display window 225, selects window 226 and exhaustive division to select window 227 in detail.
[83] in addition, pattern image registration tool shown in Figure 9 comprises pattern registration window 208, types of patterns and size Selection window 210 and sex and age selection window 212.Therefore, want the user of registered design image to use this instrument to select to want registered pattern image and characteristic information thereof, and the registered design image.
[84] as shown in figure 10, the commodity registration tool comprises commodity image registration window 214, characteristic information selects window 216 and sex and age to select window 218.Therefore, want the user of registration goods to use this instrument to come registration goods and the information relevant, for example commodity image, price, quantity, profile, classification, material, pattern, color, sex, age, season, style etc. with commodity.That is to say, obtain the commodity image by taking commodity, use the image registration instrument to come the photo of registration goods by commodity image registration window 214, select window 216 and sex and age to select window 218 to select the characteristic information of commodity by characteristic information, and the input details, to finish registration.
[85] that is to say, as mentioned above, the essential information that the merchandising database registration is relevant with the commodity of real trade, for example photo, price, quantity, detailed description etc., selected corresponding contour images and pattern image, and additional information, for example sex, age, season, style, material, pattern characteristics (horizontal line, decorative pattern, conventional symbols, English letter etc.), overall main color etc.
[86] if confirmed approval, then will " buy the approval confirmation signal " from the administrator computer 300 of subscriber computer reception user's input information and transfer to subscriber computer 100, to " sell the approval confirmation signal " and transfer to seller's computing machine 200, and unique identification number and the matching list of being created transferred to operator's server 400.
[87] then, operator's server 400 determines that received " commercial articles searching request signal " is text search signal or picture search signal S4.
[88] if receive the text search signal in step S4, then as shown in figure 11, operator's server 400 is by text search detected image characteristic information S6.
[89] specifically, in the step S6 of execution contexts search, operator's server 400 is carried out key word first search S6a according to user's input information, and search comprises the classification S6b of key word, and draws image feature information S6c from the image that comprises key word or the image in these classifications.
[90] that is to say, if the user selects detail image from the image that searches, then the characteristic information according to detail image comes search key and classification by picture search, to detect the set of diagrams picture, and draw image feature information, thereby use matching list to come Recommendations from detected image.
[91] for example, come searching image if " climb the mountain " by input characters, then the result shows below.
Climb the mountain-climbing gear-(upper strata climbing gear, climbing trousers, cap, socks, shoes etc.)
-camp-(lamp of camping, alpin-stock, tent, equipment etc.)
-knapsack-(carry bag, doggie bag etc.)
[92] as mentioned above, search for be included in " climbing the mountain " in the corresponding all images of classification.
[93] that is to say, come searching image if use key word " to climb the mountain ", then search for representational image " climbing gear ", " camping " and " knapsack ", then the search with each classification " climbing gear ", " camping " and " knapsack " under the corresponding presentation graphics of image.
[94] next, operator's server 400 uses the image feature information that has extracted to be arranged in order the image S8 that all draw.
[95] specifically, operator's server 400 is searched for unique identification number to draw image S8a according to user's input information, the key word S8b of search subscriber input again in Search Results, handle the order S8c corresponding, and use the characteristic information of image and layer value to arrange S8d successively from the optimized image that searches with these key words.
[96] in other words, detect the characteristic information of each image sets from each presentation graphics that searches.Use detected condition, and based on the key word and the classification search condition of the key word of user input, arrange the characteristic information in the image sets and the key word and the classification of similar image by storehouse.
[97] as shown in figure 12, operator's server 400 uses image feature information to draw Recommendations S10 according to Search Results.
[98] in step S10, the characteristic information of the image arranged among the step S8 is transferred to matching list according to priority.In matching list, according to the characteristic information of institute's image transmitted group carry out with operator's server 400 in the commodity of registration or the coupling of the commodity group that register in electronic market or shopping center.
[99] next, operator's server 400 transfers to subscriber computer 100 with the similar clause that is drawn, so that the user can confirm commodity S12.
[100] specifically, in step S12, subscriber computer 100 is created user adaptation virtual portrait images, and it uses personal information data (comprising user's sex, age, height, body weight, chest measurement, waistline, hip circumference etc.) to represent user S12a.Subscriber computer receives the commodity that drawn from operator's server 40, commodity is through on one's body the virtual portrait, and shows virtual portrait S12b as shown in figure 13.
[101] on this point, use the characteristic information of selected detail image that detail items such as pattern, color and virtual portrait are combined, to show the collocation form (promptly dressing up) that user's virtual portrait is carried out, and the characteristic information of images in view of the above, to recommend similar commodity by matching list.
[102] on the other hand, if receive the picture search signal in step S4, then as shown in figure 14, operator's server 400 comes searching image characteristic information S14 by picture search.
[103] for example, search for if selection belongs to " climbing gear " of the presentation graphics of " climbing the mountain ", then the result shows below:
Climb the mountain-climbing gear-the upper strata climbing gear
-climbing trousers
-cap
-socks
-shoes
[104] that is to say, the image that is comprised in search " climbing gear " table and the upper strata classification of " climbing gear ", the classification of promptly " climbing the mountain ", and can search for similar image sets in this classification according to the characteristic information of " climbing gear " profile by the keyword search in this classification.
[105] on this point, in picture search, can use the image that draws by this paper search to come searching image.That is to say, can be according to the Search Results that is drawn from image feature information search key and classification.On this point,, then can use the quantity of key word and toply draw a plurality of optimized images if drawn a plurality of images.
[106] hereinafter the second embodiment of the present invention is described with reference to Figure 15.Second embodiment adopts and the similar form of the system and method for first embodiment basically.Therefore, with the difference that stresses with first embodiment.Figure 15 is the view that the illustrative configurations of the system of recommending the commodity that profile, pattern and color be complementary according to qualifications according to a second embodiment of the present invention is described.
[107] at first, as shown in figure 15, the subscriber computer 100 of second embodiment further comprises codi image creation modular unit 170, it creates the codi image that is fit to user's taste, purpose and the bodily form by selecting profile, pattern, color to wait, and similarity searching modular unit 180, it is used for comparison and analyzes image feature information and the registration goods information that is drawn, and presses the commodity sequential delivery commodity of optimum matching.
[108] here, preferably, use the abbreviation of codi as coordination (collocation).
[109] codi image creation modular unit 170 comprises selection module 171, and it is used for selecting registration profile, pattern and color; Conversion and correction module 172, it is used to proofread and correct profile, pattern and color by selecting module 171 to select; And codi image creation module 173, it uses profile, pattern or color after proofreading and correct to create the codi image that is fit to user's taste, purpose and the bodily form.
[110] specifically, conversion and correction module 172 use 2.9D image transitions engines to wait the pattern, color, size, gauffer, rotation etc. of converted image in many ways by pattern Mapping, color correction, size conversion, rotation conversion, pleating (form of expression of rivel), and described 2.9D image transitions engine employing 3 dimensionizations 2 are tieed up (2D) images (being called 2.9D among the present invention).On this point, the actuating speed of image is identical with the situation of 2D with capacity.If use existing 2D image or photograph image, then can not carry out pattern Mapping, color correction, size conversion etc. inherently, thereby use a plurality of images in the database to change pattern, color etc.
[111] as a reference, 2.9D image transitions engine is the 2.9D image with the 2D image improvement, and it has virtual z value, to implement the function of 3D model.Pass through the 2.9D image created, 2.9D image transitions engine can be used pattern Mapping, color correction, size conversion, rotation conversion etc.With regard to existing 3D model,, need the sources such as Planar Mapping model, 3D model, coordinate data of 3D form in order to carry out pattern Mapping, color correction, size conversion etc.Therefore, it is very consuming time to carry out mapping, and file is too big, so 2.9D image transitions engine is not suitable for being used on the Web.But improvement type mapping algorithm of the present invention can only use the 2.9D view data to carry out mapping, so its advantage is, can carry out pattern Mapping, color correction, size conversion etc. quickly than 3D model.And because improved mapping algorithm has the low capacity identical with the 2D image and high-speed, so it is easy to be applied on the Web.And, because the 2.9D image itself has virtual z value, therefore can carry out the rotation conversion, and can carry out pattern Mapping, color correction, size conversion, pleating etc., carry out rotation conversion simultaneously.The mapping of the 3D model of carrying out when simultaneously, those operations are than rotation is faster.
That is to say that [112] conversion and correction module 172 are to be different from the mode of existing 3D codi solution, the 2.9D image of use itself (not being 3D rendering) is carried out pattern transfer, color conversion, size conversion, rotation conversion and pleating function.
[113] on the other hand, similarity searching modular unit 180 is recommended commodity that profile, pattern and color all be complementary with image feature information, is recommended the commodity of profile and pattern match in next position in first position, and recommends the commodity of outline in next position again.
[114] concrete operations of similarity searching modular unit 180 are: the similarity searching modular unit is selected the representative contour images corresponding with each brand name in contour images.Under the situation of carrying out codi, the similarity searching modular unit is placed on limit priority on the brand name or electronic market trade name of keyword message when extracting the characteristic information of contour images, draw included similar clause in brand article group or the electronic market commodity group in first position, and show similar commodity to the user by virtual portrait.
[115] for example, at user-selected codi image is under the situation of contour images of expression jeans, if when extracting the characteristic information of contour images, detect key word Levi ' s, then in the brand article group of first location finding Levi ' s, and draw the recommended brands commodity corresponding with Levi ' s.On this point, the characteristic information of contour images has the keyword message of Levi ' s.
[116] on this point, the commodity group of electronic market commodity is arranged, can pass through text search or picture search to user's recommendation name brands or electronic market commodity wherein, therefore draw brand article according to user-selected codi project.
[117] then, user-selected contour images is placed on user's virtual portrait.When virtual portrait is worn contour images, can freely change pattern or color according to user's needs, and contour images can be adjusted to the size of virtual portrait.And, can rotate the view of the virtual portrait of wearing contour images, to show left and right, the preceding and lateral side view of virtual portrait.In addition, when carrying out pattern Mapping, also can change gauffer (form of expression of rivel), make the shape of its suitable contour images, and the view of wearing the virtual portrait of switched contour images can be shown on the subscriber computer.
[118] below will with reference to Figure 16 a kind of commodity of recommending profile, pattern and color all to mate according to qualifications be described by the above-mentioned system of structure as shown in figure 15 according to a second embodiment of the present invention.Here, Figure 16 is the process flow diagram that the method for recommending the commodity that profile, pattern and color be complementary according to qualifications according to a second embodiment of the present invention is described.
[119] at first, as shown in figure 16, codi image creation modular unit 170 has been created the codi image of suitable user's taste, purpose and the bodily form, to recommend S22 with commodity.
[120] promptly specifically, in the step S20 that creates the codi image, select module 171 to use user's input information to select profile, pattern and color S22a.
[121] conversion and correction module 172 are by carrying out pattern Mapping, color correction, size conversion, rotation and change and pleating (form of expression of rivel) and the pattern of converted image, color, size, gauffer and rotation S22b in many ways to selected profile, pattern and color.
[122] then, codi image creation module 173 has been created the codi image S22c of suitable user's taste, purpose and the bodily form.
[123] codi image creation modular unit 170 shows the codi image of having created by user's virtual portrait, so that the user can confirm codi image S24.
[124] here, when the contour images of user's virtual portrait dress combination, codi image creation modular unit 170 can be according to user's needs conversion freely and correcting pattern or color, and contour images can be adjusted to the size of virtual portrait.Can rotate the view of the virtual portrait of wearing contour images, to show left and right, the preceding and lateral side view of virtual portrait.
[125] similarity searching modular unit 180 use be stored in merchandising database or category database in the relevant essential information of commodity of real trade, and, search for and the identical or similar commodity image of the codi image S26 that is created corresponding to contour images, pattern image and the profile information of essential information.
[126] here, specifically, in the step S26 of search commercial articles image, similarity searching modular unit 180 draws characteristic information S26a from contour images, with the characteristic information that the draws S26b that compares with the characteristic information of commodity image, and according to the sequential search identical or similar commodity S26c of comparative result by similarity.
That is to say that [127] contour images that the user is made up is transferred to operator's server 400, and operator's server 400 uses above-mentioned matching list to extract the characteristic information of image and recommend similar commodity.
[128] therefore, similarity searching modular unit 180 is recommended and is shown commodity that profile, pattern and color all be complementary with image feature information, recommends the commodity of profile and pattern match in next position in first position, and recommends the commodity S28 of outline in next position again.
[129] in addition, the similarity searching modular unit is selected the representative contour images S28a corresponding to each brand name in contour images.Under the situation of carrying out codi, the similarity searching modular unit is placed on limit priority S28b on the brand name of keyword message or the electronic market trade name when extracting the characteristic information of contour images, draw included similar clause S28c in brand article group or the electronic market commodity group in first position, and show similar commodity S28d to the user by virtual portrait.
[130] although the present invention has illustrated a kind of commercial product recommending system and method thereof that stresses virtual portrait and toggery with reference to specific description embodiment, it is not subjected to the restriction of these embodiment, and only is subjected to the restriction of appended claims.It is to be appreciated that those skilled in the art that and on the basis that does not exceed scope of the present invention and purport, to change these embodiments or to revise.
[131] according to the invention described above, the user can buy commodity after extracting image feature information by text search or picture search and confirming to have the Recommendations of virtual portrait dress of user's bodily form, therefore it is very effective, because the user can buy commodity that are fit to user's bodily form or the commodity that the user wants.
[132] that is to say, because the user can use the commodity of recommendation that the virtual portrait that is similar to user's bodily form is arranged in pairs or groups, and the commodity of range estimation affirmation recommendation, so it is very effective, because the user can buy the commodity that be similar to required commodity by text search or picture search.
Claims (24)
1. commercial product recommending system, it comprises:
Subscriber computer 100, it is used to receive the user's input information that comprises personal information data, search condition data and upload data, the user comes search commercial articles by text search or picture search, and shows the virtual portrait view of wearing the Recommendations image, so that can confirm commodity;
Seller's computing machine 200, it is used for receiving merchandise news from the seller who needs vending articles, and transmission is " sale request signal " and merchandise news accordingly, and receive " selling the approval confirmation signal " according to the registration of merchandise news;
Administrator computer 300, it is used to approve the user's input information and the merchandise news of subscriber computer and the input of seller's computing machine, create unique identification number at each user's input information and merchandise news, and the structure matching list, so that user's input information and merchandise news are mated mutually;
Operator's server 400, it is used for receiving " commercial articles searching request signal " from subscriber computer, and draws the commodity image according to the image information that obtains from text search or picture search;
Wherein, operator's server 400 comprises:
Data Receiving unit 410, it is used for receiving " the commercial articles searching request signal " that comprises text search or picture search (request) from subscriber computer, and receives the unique identification number and the corresponding matching list of each user's input information and merchandise news from administrator computer;
Characteristic information extracting module unit 420, it extracts image feature information by response " commercial articles searching request signal " execution contexts search or picture search;
Matcher modular unit 430, it is handled the search key fill order that arrives by the characteristic information extracting module unit searches, to be arranged in order image;
Commercial product recommending modular unit 440, it is used for using image feature information to draw Recommendations according to Search Results;
Data transmission unit 450, its commodity that are used for extracting by the commercial product recommending modular unit transfer to subscriber computer; And
Data storage cell 460, it is used to store user's input information, merchandise news, unique identification number and matching list.
2. the system as claimed in claim 1, wherein, this characteristic information extracting module unit 420 comprises:
Text search module 421, it is used for carrying out the key word first search according to user's input information, and according to text input from corresponding to the table search text word information of definition command to extract image feature information; And
Image search module 422, it is used for extracting image feature information from the matching list that comprises image information and unique identification number under the situation of searching image.
3. the system as claimed in claim 1, wherein, this matcher modular unit 430 comprises:
Matcher module 431, it is used for searching for unique identification number according to search information, the key word of search subscriber input again in Search Results, and handle the order corresponding with these key words; And
Storehouse module 432, it uses the characteristic information of image and layer value to begin to be arranged in order from the optimized image that searches.
4. the system as claimed in claim 1, wherein, this subscriber computer 100 comprises:
Data input module unit 110, it is used for receiving user's input information from the user, receives " the buying the approval confirmation signal " that is used for user's input information from administrator computer 300, and receives the commodity image that institute extracts or recommends from operator's server 400;
Commercial articles searching modular unit 120, it is used for searching for the classification that comprises the key word of having searched for after carrying out the key word first search according to user's input information and searches for execution contexts, and select image and the search commercial articles image is searched for carries out image by key word or classification;
Virtual portrait creating unit 130, it uses the personal information data to create expression user's user adaptation virtual portrait image;
Display unit 140, it is used to show the virtual portrait of the commodity image that the dress created is recommended by commercial articles searching, so that the user can confirm the commodity image recommended;
Storage unit 150, it is used to store virtual portrait of being created and the user's input information that receives from the user;
Transmission unit 160, it is used for receiving text search or image search requests from the user, and transmission " commercial articles searching request signal " and user's input information.
5. the system as claimed in claim 1, wherein, described user's input information comprises: the personal information data, it comprises age, height, body weight, chest measurement, waistline, hip circumference, sex, the colour of skin, the bodily form of user etc.; The search condition data, it comprises application target, field of employment, use object or conceptual data; And upload data, it comprises color, pattern, profile, image or commodity data.
6. system as claimed in claim 5, wherein, with regard to commodity data, under registration situation in the merchandise news of registration such as other websites, classification or key element mark by the connection of TCP/IP socket, the commodity in use page are collected commodity data, and come registration goods information according to classification or key class.
7. the system as claimed in claim 1, wherein, this administrator computer 300 comprises:
Boundary element 310, it is used to receive user's input information and merchandise news by subscriber computer and the input of seller's computing machine, " the selling the approval confirmation signal " that will be used for " buy approval confirmation signal " of user's input information and be used for merchandise news is transferred to subscriber computer and seller's computing machine, and user's input information and each unique identification number of being created of merchandise news are transferred to operator's server together with corresponding matching list;
Approval process unit 320, it is used to determine whether to ratify user's input information and merchandise news; And
Matching list modular unit 330, it is used at each item number that is contained in user's input information and merchandise news according to creating unique identification number, and the structure matching list, to carry out commercial articles searching swimmingly.
8. system as claimed in claim 7, wherein, this matching list modular unit 330 comprises:
Table module 331, it is used to comprise classification information, season, color, pattern, sex, purposes, material etc.;
Unique identification number creation module 332, it is used to corresponding to each item number of user's input information and merchandise news according to creating recognizable unique identification number;
The image information that image processing module 333, its use are contained in user's input information and the merchandise news is inserted image feature information in the matching list; And
Matching module 334, it is used for table module 331 and unique identification number are mated mutually.
9. system as claimed in claim 8, wherein, the process that this table module 331 is created instrument, profile projects combo instrument, pattern image registration tool and commodity registration tool by registration contour images registration tool, profile is constructed matching list, with structural configuration and pattern database and merchandising database.
10. commercial product recommending system, it comprises:
Subscriber computer 100, it is used to receive the user's input information that comprises personal information data, search condition data and upload data, the user comes search commercial articles by text search or picture search, and shows the virtual portrait view of wearing the Recommendations image, so that can confirm commodity;
Seller's computing machine 200, it is used for receiving merchandise news from the seller who needs vending articles, and transmission is " sale request signal " and merchandise news accordingly, and receive " selling the approval confirmation signal " according to the registration of merchandise news;
Administrator computer 300, it is used to approve the user's input information and the merchandise news of subscriber computer and the input of seller's computing machine, create unique identification number at each user's input information and merchandise news, and the structure matching list, so that user's input information and merchandise news are mated mutually;
Operator's server 400, it is used for receiving " commercial articles searching request signal " from subscriber computer, and draws the commodity image according to the image information that obtains from text search or picture search;
Wherein, subscriber computer 100 comprises:
Codi image creation modular unit 170, it comprises:
Select module 171, it is used to select registered profile, pattern and color;
Conversion and correction module 172, it is used to change selected profile, pattern and color;
Codi image creation module 173, it uses switched profile, pattern or color to create the codi image that is fit to user's taste, purpose and the bodily form; And
Similarity searching modular unit 180, it is used for comparison and analyzes the image feature information drawn and the merchandise news of registration, and transmits commodity according to the order of optimum matching commodity.
11. system as claimed in claim 10, wherein, this conversion and 172 pairs of 2.9D images of correction module are carried out pattern transfer, color conversion, size conversion, rotation conversion and pleating function.
12. system as claimed in claim 10, wherein, this similarity searching modular unit 180 recommends profile, pattern and color all with the commodity of image feature information coupling, recommend the commodity of profile and pattern match in next position in first position, and recommends the commodity of outline in next position again.
13. a method of using the described element of claim 1 to come Recommendations, this method may further comprise the steps:
(1-a) receive " commercial articles searching request signal " from subscriber computer 100 by operator's server 400;
(1-b) " the commercial articles searching request signal " that receives by operator's server response and execution contexts search;
(1-c) by operator's server, carry out the key word first search according to user's input information, search comprises the classification of the key word of having searched for, and extracts image feature information from image or the image in these classifications that comprises these key words;
(1-d) by operator's server, use the image feature information that extracts by text search to draw and the Pareto diagram picture; And
(1-e) by operator's server, the characteristic information of the image that will arrange according to priority is transferred to matching list, uses matching list that the characteristic information of institute's image transmitted group is mated with registered commodity group, and recommends similar commodity.
14. method as claimed in claim 13, it further may further comprise the steps before in step (1-a):
(1-a-1) receive user's input information and merchandise news by administrator computer 300;
(1-a-2) determine whether to ratify user's input information and merchandise news by administrator computer;
(1-a-3) create the table that comprises classification information, season, color, pattern, sex, purposes and material by administrator computer;
Be according to creating recognizable unique identification number corresponding to each item number of user's input information and merchandise news (1-a-4) by administrator computer; And
(1-a-5) by administrator computer structure matching list, should show and unique identification number coupling.
15. method as claimed in claim 13, wherein, step (1-b) further may further comprise the steps:
Search for by " commercial articles searching request signal " carries out image that the response of operator's server receives.
16. as claim 13 or 15 described methods, wherein, step (1-b) further may further comprise the steps:
Use the image that draws from text search to come the carries out image search by operator's server; And
Search for described key word and classification according to the Search Results that has drawn from image feature information by operator's server.
17. method as claimed in claim 13, wherein, step (1-d) further may further comprise the steps:
(1-d-1) search for unique identification number according to user's input information by operator's server;
(1-d-2) use the key word of user's input in Search Results, to search for once more by operator's server;
(1-d-3) by of the order of operator's server process corresponding to key word; And
(1-d-4) use the characteristic information of image and layer value to begin to be arranged in order from the optimized image that searches by operator's server.
18. method as claimed in claim 13, it further may further comprise the steps afterwards in step (1-e):
(1-e-1) receive the commodity of recommending from operator's server by subscriber computer;
(1-e-2) create the user adaptation virtual portrait image of representing the user by subscriber computer; And
(1-e-3) put on the commodity of recommendation and show virtual portrait to virtual portrait.
19. as claim 13 or 18 described methods, it further may further comprise the steps afterwards in step (1-e):
If drawn a plurality of images, then can use the quantity of key word and toply draw a plurality of optimized images.
20. a method of using the described element of claim 10 to come Recommendations, this method may further comprise the steps:
(2-a) by the user adaptation virtual portrait creation of image codi image of codi image creation modular unit 170 according to suitable user's bodily form, this virtual portrait image uses user's input information to represent the user;
The user (2-b) shows the codi image of having created with user's virtual portrait, so that can confirm the codi image by codi image creation modular unit;
(2-c) by similarity searching modular unit 180, use and search for and the identical or similar commodity image of the codi image of having created corresponding to contour images, pattern image and the profile information of merchandise news; And
(2-d) by the similarity searching modular unit, recommend and show commodity that profile, pattern and color all mate in first position, recommend the commodity of profile and pattern match, and recommend the commodity of outline in next position again in next position.
21. method as claimed in claim 20, wherein, step (2-a) may further comprise the steps:
(2-a-1) create the codi image by codi image creation modular unit;
(2-a-2) select profile, pattern and color by codi image creation modular unit;
(2-a-3) by codi image creation modular unit, adopt selected profile, pattern and the color of pattern, color, size, gauffer and rotation conversion conversion in many ways and correcting image; And
(2-a-4) pass through the codi image that codi image creation modular unit is created the taste, purpose and the bodily form that are fit to the user.
22. method as claimed in claim 20, wherein, step (2-b) further may further comprise the steps:
By codi image creation modular unit, when the contour images of user's virtual portrait dress combination, according to user's needs conversion and correcting pattern or color; And
Wear the view of the virtual portrait of contour images, left and right to show, preceding and lateral side view by codi image creation modular unit rotation.
23. method as claimed in claim 20, wherein, step (2-c) may further comprise the steps:
Draw characteristic information by the similarity searching modular unit from contour images;
The characteristic information that draws and the characteristic information of commodity image are compared; And
According to comparative result, according to the identical or similar commodity of the sequential search of similarity.
24. method as claimed in claim 20, wherein, step (2-d) may further comprise the steps:
(2-d-1) in contour images, select the representative contour images corresponding with brand name by the similarity searching modular unit;
(2-d-2) by the similarity searching modular unit, when extracting the characteristic information of profile, priority is placed on brand name or the electronic market trade name according to keyword message;
(2-d-3) draw included similar clause in brand article group or the electronic market commodity group in first position by the similarity searching modular unit; And
(2-d-4), after virtual portrait is put on the commodity that draw, show similar commodity to the user by the similarity searching modular unit.
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