CN108230100A - A kind of acquisition methods and device of client's physical size - Google Patents
A kind of acquisition methods and device of client's physical size Download PDFInfo
- Publication number
- CN108230100A CN108230100A CN201711477249.1A CN201711477249A CN108230100A CN 108230100 A CN108230100 A CN 108230100A CN 201711477249 A CN201711477249 A CN 201711477249A CN 108230100 A CN108230100 A CN 108230100A
- Authority
- CN
- China
- Prior art keywords
- size
- section
- client
- apparel
- dress ornament
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of acquisition methods and device of client's physical size, including:Obtain the dress ornament net purchase record of client;All apparel sizes at extraction customer premise position from dress ornament net purchase record;Section grouping is carried out to all apparel sizes by clustering procedure, forms multiple sections;The section of apparel size closeness maximum is selected in the multiple section;Obtain the average value of apparel size in the section of closeness maximum;Result after the average value is subtracted preset preferable loose part is as the spot size at customer premise position.Client is solved in net purchase dress ornament due to lacking the technical issues of somatometric professional knowledge is so as to be difficult to provide accurate and complete physical size.
Description
Technical field
The present invention relates to internet arena more particularly to a kind of acquisition methods and device of client's physical size.
Background technology
With popularizing for internet, net purchase plays an increasingly important role.
At present, client in net purchase dress ornament due to that cannot try on, so generally requiring client provides physical size, however one
As client lack somatometric professional knowledge, it is difficult to provide accurately and complete physical size.
Invention content
The present invention provides a kind of acquisition methods and device of client's physical size, solve client in net purchase dress ornament by
In lacking the technical issues of somatometric professional knowledge is so as to be difficult to provide accurate and complete physical size.
The present invention provides a kind of acquisition methods of client's physical size, including:
Obtain the dress ornament net purchase record of client;
All apparel sizes at extraction customer premise position from dress ornament net purchase record;
Section grouping is carried out to all apparel sizes by clustering procedure, forms multiple sections;
The section of apparel size closeness maximum is selected in the multiple section;
Obtain the average value of apparel size in the section of closeness maximum;
Result after the average value is subtracted preset preferable loose part is as the spot size at customer premise position.
Preferably,
All apparel sizes at extraction customer premise position specifically include from dress ornament net purchase record:
The dress ornament net purchase returned goods is rejected from dress ornament net purchase record return goods and record, and from remaining every dress ornament
All apparel sizes at extraction customer premise position in net purchase record.
Preferably,
Preset position includes at least two positions, and each position corresponds to a spot size;
After the result after the average value to be subtracted to preset preferable loose part is as the spot size at customer premise position,
It further includes:
Judge that each spot size whether in presetting range, then rejects the spot size not in presetting range, often
A spot size corresponds to a presetting range.
Preferably,
Judging each spot size whether in presetting range, then reject spot size not in presetting range it
Afterwards, it further includes:
Manikin is established according at least one spot size in presetting range.
Preferably,
The section that apparel size closeness maximum is selected in the multiple section specifically includes:
The closeness in the multiple section is judged, if area equal and maximum there are multiple closenesses in the multiple section
Between, then the standard deviation in the equal and maximum each section of computational intensity, then using the section of standard deviation minimum as dress ornament ruler
The section of very little closeness maximum.
Preferably,
Section grouping is carried out to all apparel sizes by clustering procedure, multiple sections is formed and specifically includes:
The total number and each section recorded according to the dress ornament net purchase needs the minimum number for including the apparel size
The number of determination section;
Section grouping is carried out to all apparel sizes using KMeans algorithms, forms the section of corresponding number.
The present invention provides a kind of acquisition device of client's physical size, including:
First acquisition unit, for obtaining the dress ornament net purchase of client record;
Extraction unit, for all apparel sizes at the extraction customer premise position from dress ornament net purchase record;
Grouped element carries out section grouping to all apparel sizes for passing through clustering procedure, forms multiple sections;
Selection unit, for selecting the section of apparel size closeness maximum in the multiple section;
Second acquisition unit, for obtaining the average value of apparel size in the section of closeness maximum;
Spot size computing unit, for the result after the average value is subtracted preset preferable loose part as customer premise
The spot size at position.
Preferably,
The extraction unit is specifically used for:
The dress ornament net purchase returned goods is rejected from dress ornament net purchase record return goods and record, and from remaining every dress ornament
All apparel sizes at extraction customer premise position in net purchase record.
Preferably,
Preset position includes at least two positions, and each position corresponds to a spot size;
It further includes:
Culling unit, for judging that each spot size whether in presetting range, is then rejected not in presetting range
Spot size, each spot size corresponds to a presetting range.
Preferably,
The acquisition device of client's physical size, further includes manikin and establishes unit, for according in preset model
At least one spot size in enclosing establishes manikin.
As can be seen from the above technical solutions, the present invention has the following advantages:
The dress ornament net purchase record of client is first obtained, all clothes at customer premise position are then extracted from dress ornament net purchase record
Size is adornd, then section grouping is carried out to all apparel sizes by clustering procedure, multiple sections are formed, then again in multiple sections
The section of apparel size closeness maximum is selected, obtains the average value of apparel size in the section of closeness maximum again later, most
Result after average value is subtracted preset preferable loose part afterwards is as the spot size at customer premise position.
As long as the dress ornament at some position is crossed in client's net purchase, then just can obtain this position of client by the above method
Size, so the present invention can obtain client's physical size by obtaining the size at the multiple positions of client, solve client
In net purchase dress ornament due to lacking somatometric professional knowledge so as to be difficult to provide the technology of accurate and complete physical size
Problem;The size that different dress ornaments are indicated is identical, but practical size may be different, so businessman can get according to the present invention
Physical size and oneself sell the dimensional conditions of dress ornament and preferable loose part provides accurate dress ornament size for client.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of flow diagram of one embodiment of the acquisition methods of client's physical size provided by the invention;
Fig. 2 is that a kind of flow of another embodiment of the acquisition methods of client's physical size provided by the invention is illustrated
Figure;
Fig. 3 is a kind of structure diagram of one embodiment of the acquisition device of client's physical size provided by the invention;
Fig. 4 is a kind of structural representation of another embodiment of the acquisition device of client's physical size provided by the invention
Figure;
Fig. 5 is the schematic diagram of one embodiment that by clustering procedure all apparel sizes are carried out with section grouping.
Specific embodiment
An embodiment of the present invention provides a kind of acquisition methods and device of client's physical size, solve client and are taken in net purchase
Due to lacking the technical issues of somatometric professional knowledge is so as to be difficult to provide accurate and complete physical size during decorations.
Client in net purchase dress ornament due to that cannot try on, so the size of dress ornament cannot be chosen well, so as to cause compared with
High return of goods rate.In order to reduce return of goods rate, in net purchase, businessman generally requires client and provides physical size, and businessman is according to client's
Physical size and preferable loose part provide suitable dress ornament size to client.
Inventor has found in observational study, and common customer lacks somatometric professional knowledge, it is difficult to provide accurately and
Complete physical size, so a kind of acquisition methods and device of client's physical size are invented, to obtain the physical size of client.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of flow of one embodiment of the acquisition methods of client's physical size provided by the invention is shown
It is intended to.
An embodiment of the present invention provides a kind of acquisition methods of client's physical size, including:
S101 obtains the dress ornament net purchase record of client.
As long as client chooses dress ornament on the net, dress ornament net purchase record can be all left, so client's stature provided by the invention
The acquisition methods of size are realized based on big data.
Dress ornament in the present invention refers to all products that size is determined by physical size, including but not limited to clothes, footwear,
Cap, socks, gloves, scarf, necktie and hair decorations.
S102, all apparel sizes at extraction customer premise position from dress ornament net purchase record.
Preset position can include multiple positions.Assuming that preset position is waistline, then just extraction client bought all
The waist size of dress ornament.
It should be noted that dress ornament waist size here refers to the size of dress ornament, the waist size without referring to client.
S103 carries out section grouping to all apparel sizes by clustering procedure, forms multiple sections.
The algorithm that clustering procedure uses includes K-MEANS algorithms, K-MEDOIDS algorithms and CLARANS algorithms etc..
Referring to Fig. 5, by clustering procedure all apparel sizes are carried out with the schematic diagram of one embodiment of section grouping.
Shown in fig. 5 is to carry out section grouping to the dress ornament bust size of certain client, it can be seen that dress ornament bust size point
Into three groups.
S104 selects the section of apparel size closeness maximum in multiple sections.
Closeness maximum refers to that the apparel size quantity in a section is most, as shown in figure 5,95cm to 100cm this
Bust size quantity in a section is most, so this section of 95cm to 100cm is the section of closeness maximum.
S105 obtains the average value of apparel size in the section of closeness maximum.
By taking Fig. 5 as an example, that is, ask for the average value of the bust size in this section of 95cm to 100cm.
S106, result after average value is subtracted preset preferable loose part is as the spot size at customer premise position.
It should be noted that spot size is apparel size difference, spot size is equal to apparel size plus preferable loose part.
Referring to Fig. 2, a kind of flow of another embodiment of the acquisition methods of client's physical size provided by the invention
Schematic diagram.
S201 obtains the dress ornament net purchase record of client.
Step S201 is identical with step S101, and details are not described herein again.
S202 rejects the dress ornament net purchase return of goods record returned goods from dress ornament net purchase record, and is taken from remaining every
Adorn all apparel sizes at extraction customer premise position in net purchase record.
In practical net purchase, a client may have 100 dress ornament net purchase records, but two of which dress ornament net purchase record pair
The reason of dress ornament answered finally is returned goods, the return of goods may be that size is improper.
So the present invention by the dress ornament net purchase returned goods return goods record from dress ornament net purchase record in reject, from it is remaining often
All apparel sizes at extraction customer premise position in dress ornament net purchase record so that the apparel size of extraction is all that comparison is accurate
, i.e., with referential, so that the spot size finally calculated is more accurate.
S203, the total number and each section recorded according to dress ornament net purchase need the minimum number comprising apparel size to determine
The number in section.
Assuming that the total number of dress ornament net purchase record is 10, it is 3 that each section, which needs the minimum number comprising apparel size,
Item, then the number upper limit in section can be set as to 3,3 sections record respectively comprising 3,3 and 4 dress ornament net purchases;When
So, this section number determines not to be unique, the number upper limit in section can also be set as to 2, the specific number in section
It can be adjusted according to actual conditions.
S204 carries out section grouping to all apparel sizes using KMeans algorithms, forms the section of corresponding number.
KMeans algorithms belong to the prior art, are not described further herein.
If carrying out section grouping by the method for the set interval number upper limit, section number needs to be traversed by zero a
The number upper limit.
S205 judges the closeness in multiple sections, if section equal and maximum there are multiple closenesses in multiple sections,
The then standard deviation in the equal and maximum each section of computational intensity, then the section using standard deviation minimum is close as apparel size
The section of intensity maximum.
Assuming that the closeness there are two section is equal and maximum, such as all include 4 apparel sizes in two sections, then
Section of the smaller section of selection criteria difference as apparel size closeness maximum by way of calculating standard deviation.
S206 obtains the average value of apparel size in the section of closeness maximum.
Step S206 is identical with step S105, does not repeat herein.
S207, result after average value is subtracted preset preferable loose part is as the spot size at customer premise position.
Step S207 is identical with step S106, does not repeat herein.
S208 judges each spot size whether in presetting range, then rejects the position ruler not in presetting range
Very little, each spot size corresponds to a presetting range.
Presetting range is previously set, for rejecting unreasonable spot size.
For example, a client wants to buy a jacket and a pair of trousers, then just needs to obtain the measurements of the chest, waist and hips ruler in physical size
It is very little, but there may be one of them off size reason, such as the off size reason of hip circumference in the measurements of the chest, waist and hips size got, it at this time can be with
This unreasonable hip circumference size is rejected, so as to will be remaining and be considered rational bust size and waist size is supplied to
Client.
S209 establishes manikin according at least one spot size in presetting range.
It is because two spot sizes may originally be obtained, but by step that step S209, which limits at least one spot size,
Rapid S208 eliminates a spot size, so only remaining next spot size.
Establish manikin and be to more intuitively see the physical size of client and relative scale, especially obtain it is more
In the case of a spot size.
The technology that manikin belongs to more ripe is established according to spot size, so be not described further herein.
Referring to Fig. 3, a kind of structure of one embodiment of the acquisition device of client's physical size provided by the invention is shown
It is intended to.
The present invention provides a kind of acquisition device of client's physical size, including:
First acquisition unit 301, for obtaining the dress ornament net purchase of client record.
Extraction unit 302, for all apparel sizes at the extraction customer premise position from dress ornament net purchase record.
Grouped element 303 carries out section grouping to all apparel sizes for passing through clustering procedure, forms multiple sections.
Selection unit 304, for selecting the section of apparel size closeness maximum in multiple sections.
Second acquisition unit 305, for obtaining the average value of apparel size in the section of closeness maximum.
Spot size computing unit 306, for the result after average value is subtracted preset preferable loose part as customer premise
The spot size at position.
Referring to Fig. 4, a kind of structure of another embodiment of the acquisition device of client's physical size provided by the invention
Schematic diagram.
First acquisition unit 401, for obtaining the dress ornament net purchase of client record.
Extraction unit 402 is returned goods record for rejecting the dress ornament net purchase returned goods from dress ornament net purchase record, and from remaining
All apparel sizes at extraction customer premise position in remaining every dress ornament net purchase record.
Grouped element 403 carries out section grouping to all apparel sizes for passing through clustering procedure, forms multiple sections.
Selection unit 404, for selecting the section of apparel size closeness maximum in multiple sections.
Second acquisition unit 405, for obtaining the average value of apparel size in the section of closeness maximum.
Spot size computing unit 406, for the result after average value is subtracted preset preferable loose part as customer premise
The spot size at position.
Culling unit 407, for judging that each spot size whether in presetting range, is then rejected not in presetting range
Interior spot size, each spot size correspond to a presetting range.
Manikin establishes unit 408, for establishing human mould according at least one spot size in presetting range
Type.
For ease of understanding, below by with a concrete application scene to the acquisition methods of client's physical size a kind of and device
Using illustrating, application examples includes:
One client wants to buy a pair of trousers, but cannot provide accurate and complete physical size.It is provided using the present invention
A kind of client's physical size acquisition methods and device, first obtain client dress ornament net purchase record, then from dress ornament net purchase remember
All apparel sizes such as client's waistline, hip circumference and trousers length are extracted in record, then by clustering procedure respectively to waistline, hip circumference and trousers length
Apparel size carries out section grouping, and the apparel size at each position forms multiple sections, then selected in multiple sections again
The section of apparel size closeness maximum, obtains the average value of apparel size in the section of closeness maximum, finally uses again later
Average value subtracts the spot size that preset preferable loose part calculates waistline, hip circumference and trousers length, can also be according to waistline, hip circumference and trousers length
Spot size establish manikin, solve client in net purchase dress ornament due to lacking somatometric professional knowledge so as to difficult
The technical issues of to provide accurately with complete physical size.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that:It still can be to preceding
The technical solution recorded in each embodiment is stated to modify or carry out equivalent replacement to which part technical characteristic;And these
Modification is replaced, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of acquisition methods of client's physical size, which is characterized in that including:
Obtain the dress ornament net purchase record of client;
All apparel sizes at extraction customer premise position from dress ornament net purchase record;
Section grouping is carried out to all apparel sizes by clustering procedure, forms multiple sections;
The section of apparel size closeness maximum is selected in the multiple section;
Obtain the average value of apparel size in the section of closeness maximum;
Result after the average value is subtracted preset preferable loose part is as the spot size at customer premise position.
2. the acquisition methods of client's physical size according to claim 1, which is characterized in that recorded from the dress ornament net purchase
All apparel sizes at middle extraction customer premise position specifically include:
The dress ornament net purchase returned goods is rejected from dress ornament net purchase record return goods and record, and from remaining every dress ornament net purchase
All apparel sizes at customer premise position are extracted in record.
3. the acquisition methods of client's physical size according to claim 1, which is characterized in that preset position includes at least two
A position, each position correspond to a spot size;
After the result after the average value to be subtracted to preset preferable loose part is as the spot size at customer premise position, also wrap
It includes:
Each spot size is judged whether in presetting range, then rejects the spot size not in presetting range, each portion
Position size corresponds to a presetting range.
4. the acquisition methods of client's physical size according to claim 3, which is characterized in that judging each spot size
Whether in presetting range, after then rejecting the spot size not in presetting range, further include:
Manikin is established according at least one spot size in presetting range.
5. the acquisition methods of client's physical size according to claim 1, which is characterized in that selected in the multiple section
The section for going out apparel size closeness maximum specifically includes:
Judge the closeness in the multiple section, if section equal and maximum there are multiple closenesses in the multiple section,
The then standard deviation in the equal and maximum each section of computational intensity, then the section using standard deviation minimum is close as apparel size
The section of intensity maximum.
6. the acquisition methods of client's physical size according to claim 1, which is characterized in that by clustering procedure to all institutes
It states apparel size and carries out section grouping, form multiple sections and specifically include:
The total number and each section recorded according to the dress ornament net purchase needs the minimum number comprising the apparel size to determine
The number in section;
Section grouping is carried out to all apparel sizes using KMeans algorithms, forms the section of corresponding number.
7. a kind of acquisition device of client's physical size, which is characterized in that including:
First acquisition unit, for obtaining the dress ornament net purchase of client record;
Extraction unit, for all apparel sizes at the extraction customer premise position from dress ornament net purchase record;
Grouped element carries out section grouping to all apparel sizes for passing through clustering procedure, forms multiple sections;
Selection unit, for selecting the section of apparel size closeness maximum in the multiple section;
Second acquisition unit, for obtaining the average value of apparel size in the section of closeness maximum;
Spot size computing unit, for the result after the average value is subtracted preset preferable loose part as customer premise position
Spot size.
8. the acquisition device of client's physical size according to claim 7, which is characterized in that the extraction unit is specifically used
In:
The dress ornament net purchase returned goods is rejected from dress ornament net purchase record return goods and record, and from remaining every dress ornament net purchase
All apparel sizes at customer premise position are extracted in record.
9. the acquisition device of client's physical size according to claim 7, which is characterized in that preset position includes at least two
A position, each position correspond to a spot size;
It further includes:
Culling unit, for judging that each spot size whether in presetting range, then rejects the portion not in presetting range
Position size, each spot size correspond to a presetting range.
10. the acquisition device of client's physical size according to claim 9, which is characterized in that further include manikin and build
Vertical unit, for establishing manikin according at least one spot size in presetting range.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711477249.1A CN108230100A (en) | 2017-12-29 | 2017-12-29 | A kind of acquisition methods and device of client's physical size |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711477249.1A CN108230100A (en) | 2017-12-29 | 2017-12-29 | A kind of acquisition methods and device of client's physical size |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108230100A true CN108230100A (en) | 2018-06-29 |
Family
ID=62645983
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711477249.1A Pending CN108230100A (en) | 2017-12-29 | 2017-12-29 | A kind of acquisition methods and device of client's physical size |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108230100A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109616214A (en) * | 2018-11-22 | 2019-04-12 | 杭州可靠护理用品股份有限公司 | A kind of paper diaper combined set method and system adapting to babies development |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080041079A (en) * | 2006-11-06 | 2008-05-09 | 신형민 | The way adorn oneself on online shopping, the codime |
US20090094138A1 (en) * | 2007-10-05 | 2009-04-09 | Stormy Compean Sweitzer | System and method for calculating, tracking, and projecting children's clothing sizes over time |
CN102402756A (en) * | 2010-09-16 | 2012-04-04 | 香港理工大学 | Intelligent clothing business system |
CN102940333A (en) * | 2012-09-14 | 2013-02-27 | 胡亨有 | Original number tailoring method for clothing armhole |
CN103927391A (en) * | 2014-04-30 | 2014-07-16 | 小米科技有限责任公司 | Information processing method and device |
CN104318366A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic mark ascription method for dress production |
CN104331802A (en) * | 2014-10-17 | 2015-02-04 | 上海和鹰机电科技股份有限公司 | Quick ready-to-wear generation system and method |
CN105447058A (en) * | 2014-09-29 | 2016-03-30 | 阿里巴巴集团控股有限公司 | Auxiliary information offering method and device |
CN105825412A (en) * | 2015-11-30 | 2016-08-03 | 深圳市十方联智科技有限公司 | Fitting method and apparatus in virtual environment |
CN107358505A (en) * | 2017-07-12 | 2017-11-17 | 苏州大学 | A kind of size for purchase clothing online recommends method and system |
-
2017
- 2017-12-29 CN CN201711477249.1A patent/CN108230100A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20080041079A (en) * | 2006-11-06 | 2008-05-09 | 신형민 | The way adorn oneself on online shopping, the codime |
US20090094138A1 (en) * | 2007-10-05 | 2009-04-09 | Stormy Compean Sweitzer | System and method for calculating, tracking, and projecting children's clothing sizes over time |
CN102402756A (en) * | 2010-09-16 | 2012-04-04 | 香港理工大学 | Intelligent clothing business system |
CN102940333A (en) * | 2012-09-14 | 2013-02-27 | 胡亨有 | Original number tailoring method for clothing armhole |
CN103927391A (en) * | 2014-04-30 | 2014-07-16 | 小米科技有限责任公司 | Information processing method and device |
CN105447058A (en) * | 2014-09-29 | 2016-03-30 | 阿里巴巴集团控股有限公司 | Auxiliary information offering method and device |
CN104318366A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic mark ascription method for dress production |
CN104331802A (en) * | 2014-10-17 | 2015-02-04 | 上海和鹰机电科技股份有限公司 | Quick ready-to-wear generation system and method |
CN105825412A (en) * | 2015-11-30 | 2016-08-03 | 深圳市十方联智科技有限公司 | Fitting method and apparatus in virtual environment |
CN107358505A (en) * | 2017-07-12 | 2017-11-17 | 苏州大学 | A kind of size for purchase clothing online recommends method and system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109616214A (en) * | 2018-11-22 | 2019-04-12 | 杭州可靠护理用品股份有限公司 | A kind of paper diaper combined set method and system adapting to babies development |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105527946A (en) | Rapid garment system and method based on industrial Internet | |
CN102750398B (en) | Design System of Garment and apply the dress designing method of this system | |
WO2016044288A1 (en) | Systems, methods, and software for manufacturing a custom-knitted article | |
WO2017005014A1 (en) | Method and device for searching matched commodities | |
CN110298719A (en) | The dress designing method of dress designing platform and the application platform | |
CN108960985A (en) | Body parameter generation method and online shopping item recommendation method based on image or video | |
NL2021540B1 (en) | SYSTEM INTEGRATION FOR DESIGN AND PRODUCTION OF CLOTHING | |
CN104318000A (en) | Automatic generating method of ready-made garment | |
CN108230100A (en) | A kind of acquisition methods and device of client's physical size | |
CN106846124A (en) | Customized clothing Intelligent Machining method based on industry 4.0 | |
CN104146423A (en) | Automatic shirt paper pattern generating system and method | |
CN205384500U (en) | Quick ready -made clothe system based on industry internet | |
CN109978720A (en) | Wearing grading method and device, intelligent equipment and storage medium | |
CN108920828B (en) | Clothing matching method and system | |
CN106803103A (en) | The method and system of automatic collocation clothing | |
CN112395999A (en) | Wearing standard judging method based on image recognition and related equipment | |
CN109034977B (en) | Customized garment design method and system | |
CN109840336A (en) | Dress designing sample recommended method and device | |
CN109829794A (en) | A kind of virtual fit method and virtual fitting system based on mobile terminal | |
CN109360040A (en) | A kind of custom made clothing method | |
CN104392371A (en) | Clothing three-dimensional forming display and terminal customer virtual wearing experience system | |
CN113468623B (en) | Clothing material pre-estimation calculation method, system and equipment | |
RU2295898C2 (en) | Method for plotting of collar pattern | |
CN107918902A (en) | A kind of shopping online fitting recommendation method based on big data | |
CN101816471A (en) | Method for cutting out garments to fit bodies |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180629 |