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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 PDF

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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
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China
Prior art keywords
size
section
client
apparel
dress ornament
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Pending
Application number
CN201711477249.1A
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Chinese (zh)
Inventor
黄炯锋
杨志斌
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Guangzhou Vipcom Research Institute Co Ltd
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Guangzhou Vipcom Research Institute Co Ltd
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Priority to CN201711477249.1A priority Critical patent/CN108230100A/en
Publication of CN108230100A publication Critical patent/CN108230100A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

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  • 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

A kind of acquisition methods and device of client's physical size
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.
CN201711477249.1A 2017-12-29 2017-12-29 A kind of acquisition methods and device of client's physical size Pending CN108230100A (en)

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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

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Application Number Priority Date Filing Date Title
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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

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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
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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
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Cited By (1)

* Cited by examiner, † Cited by third party
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

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Application publication date: 20180629