CN110796503A - Clothing management method based on character model - Google Patents
Clothing management method based on character model Download PDFInfo
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- CN110796503A CN110796503A CN201810873609.8A CN201810873609A CN110796503A CN 110796503 A CN110796503 A CN 110796503A CN 201810873609 A CN201810873609 A CN 201810873609A CN 110796503 A CN110796503 A CN 110796503A
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- 238000007726 management method Methods 0.000 title claims abstract description 29
- 238000005406 washing Methods 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 2
- 210000004243 sweat Anatomy 0.000 claims description 2
- 230000006399 behavior Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 abstract description 4
- 238000006467 substitution reaction Methods 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 235000012766 Cannabis sativa ssp. sativa var. sativa Nutrition 0.000 description 1
- 235000012765 Cannabis sativa ssp. sativa var. spontanea Nutrition 0.000 description 1
- 229920000742 Cotton Polymers 0.000 description 1
- 235000009120 camo Nutrition 0.000 description 1
- 235000005607 chanvre indien Nutrition 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000011487 hemp Substances 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- 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]
- G06Q30/0631—Item recommendations
Abstract
The invention belongs to the field of clothes treatment, and particularly relates to a clothes management method based on a character model. In order to better manage the clothes of the user, the clothes management method of the invention comprises the following steps: acquiring physical sign characteristics of a user; determining a character model to which the user belongs according to the physical sign characteristics; sending recommendation information to the user according to the character model; n different character models are pre-established according to different physical sign characteristics, wherein n is a positive integer greater than or equal to 1. The method and the device determine the character model to which the user belongs through the acquired physical sign characteristics of the user, and then send recommendation information to the user based on the character model. Therefore, the character model judged according to the physical sign characteristics of the user has high degree of attachment to the user, clothes of the user can be managed in a targeted mode according to different user preferences, behaviors and the like, recommendation information meeting user requirements is sent to the user, and user experience is greatly improved.
Description
Technical Field
The invention belongs to the field of clothes treatment, and particularly relates to a clothes management method based on a character model.
Background
Along with the improvement of living standard, the living taste of people is higher and higher, the clothes of people are more and more, and a lot of clothes which are not worn for several times are forgotten in a wardrobe to cause waste, so how to reasonably manage clothes and match the clothes is the problem to be solved at present. The clothes matching is divided into female clothes matching and male clothes matching according to gender, and the clothes-wearing habits and clothes-wearing preferences of different users are different, and some users prefer leisure style, some commercial style and some sport style.
In the prior art, clothes are usually recommended to a user according to seasons, weather conditions and the like, the functions of the clothes recommendation system are relatively simple, the requirements of people on clothes matching in daily life cannot be met, and personal clothes dressing preferences cannot be met. In addition, as the user has more and more laundry, the laundry problem is also more and more emphasized.
Therefore, the invention provides a clothing management method based on a character model.
Disclosure of Invention
In order to solve the above problems in the prior art, namely, in order to better manage the clothes of the user, the invention provides a clothes management method based on a character model, which comprises the following steps: acquiring physical sign characteristics of a user; determining a character model to which the user belongs according to the physical sign characteristics; sending recommendation information to the user according to the character model; n different character models are pre-established according to different physical sign characteristics, wherein n is a positive integer greater than or equal to 1.
In a preferred embodiment of the above clothing management method, the n different character models are created as follows: dividing the obtained physical sign characteristics into n groups according to a preset standard; each group of sign features is respectively defined as a character model.
In a preferred embodiment of the clothing management method, the step of "determining the character model to which the user belongs according to the physical characteristics" includes: judging the group to which each physical sign feature belongs; judging the number of the sign features contained in each group; and taking the character model corresponding to the group with the maximum number of the physical sign characteristics as the character model to which the user belongs.
In a preferred embodiment of the clothing management method, the step of "determining the character model to which the user belongs according to the physical characteristics" includes: dividing the physical sign features into fixed attribute features and variable attribute features; screening out a group containing the fixed attribute characteristics; and determining the character model to which the user belongs according to the variable attribute characteristics based on the screened groups.
In a preferred embodiment of the clothing management method, the step of "determining the character model to which the user belongs based on the screened group and the variable attribute feature" includes: judging the number of the variable attribute features contained in each screened group; and taking the character model corresponding to the group containing the maximum number of variable attribute features as the character model to which the user belongs.
In a preferred embodiment of the clothing management method, the step of "determining the character model to which the user belongs based on the screened group and the variable attribute feature" includes: judging groups containing variable attribute characteristics in the screened groups; and taking the character models corresponding to the groups containing the variable attribute characteristics as the character models to which the users belong.
In a preferred embodiment of the above clothing management method, the fixed attribute characteristics include gender and/or age; the variable attribute features comprise one or more of sweat amount, motion amount, dressing style and dressing material.
In a preferred embodiment of the clothing management method, the step of "determining the character model to which the user belongs according to the physical characteristics" includes: calculating the average value/mode of all sign characteristic data of the user acquired within preset time; determining high-frequency sign characteristics of the user according to the average value/mode; and taking the character model corresponding to the group containing the high-frequency physical sign characteristics as the character model to which the user belongs.
In a preferred embodiment of the above laundry management method, the preset time is any time between 25 and 35 days; or the preset time is 30 days.
In a preferred embodiment of the above-mentioned clothes management method, the recommendation information includes clothes collocation information, and/or clothes purchase recommendation information, and/or clothes washing/maintenance information, and/or washing article information.
The method and the device determine the character model to which the user belongs through the acquired physical sign characteristics of the user, and then send recommendation information to the user based on the character model. Therefore, the character model judged according to the physical sign characteristics of the user has high degree of attachment to the user, clothes of the user can be managed in a targeted mode according to different user preferences, behaviors and the like, recommendation information meeting user requirements is sent to the user, and user experience is greatly improved.
Drawings
Fig. 1 is a main flowchart of a laundry management method of the present invention.
Detailed Description
In order to make the embodiments, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the embodiments are some, but not all embodiments of the present invention. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.
Referring to fig. 1, fig. 1 is a main flowchart of a laundry management method of the present invention. As shown in fig. 1, the laundry management method of the present invention includes the steps of: s110, acquiring physical sign characteristics of a user; s120, determining a character model to which the user belongs according to the physical characteristics; and S130, sending recommendation information to the user according to the character model. N different character models are pre-established according to different physical sign characteristics, wherein n is a positive integer greater than or equal to 1. For example, the physical characteristics that can be obtained are divided into n groups according to the preset standard, and then each group of physical characteristics is respectively positioned as a character model, namely, the first character model and the second character model …. Therefore, after the physical sign characteristics of the user are obtained, the character model to which the user belongs can be judged according to the physical sign characteristics, and if the user is judged to be the first character model, recommended information is sent to the user according to the second character model, wherein the recommended information can be clothes matching information, clothes purchasing recommended information, clothes washing/maintenance information, washing article information and the like, so that clothes of the user can be managed in a targeted manner according to preferences, behaviors and the like of different users, and user experience is improved.
Those skilled in the art will appreciate that the above-described manner of obtaining the vital sign characteristics may utilize an existing smart wearable device, which may record and store various vital sign characteristics of the user in real time. The physical characteristics can be the sex (male or female), age (such as teenagers, middle-aged people, old people, etc.), perspiration amount, exercise amount (large exercise amount or small exercise amount), dressing style (such as sports wear, business wear, casual wear, etc.), dressing material (such as cotton, hemp, fiber, silk, etc.). In addition, the preset criteria can be understood as classifying according to certain criteria, for example, dividing physical signs of the clothes into a group, which are characterized by "sex women, teenagers, large amount of exercise, and wearing style of sports wear", and dividing sex men, old people, little amount of exercise, and wearing style casual wear "into a group, and so on, and those skilled in the art can flexibly set different combinations to establish different character models.
As an example, in the step S120, the process of determining the character model to which the user belongs is as follows: first, the group to which each acquired physical sign feature belongs is judged, for example, the acquired physical sign features include "sex male", "teenager", "exercise amount is large", and "wear sports wear", among others. "gender male" belongs to a first character model, a second character model, and a third character model; "teenagers" belong to a first character model and a second character model; both 'big exercise amount' and 'wear sports wear' belong to a first human model; then, the number of the sign features included in each group is judged, as described above, the first character model includes four sign features, the second character model includes two sign features, and the third character model includes one sign feature, so that it is judged that the user belongs to the first character model. At this time, recommendation information is sent to the user according to the first person model.
As another example, in step S120, the process of determining the character model to which the user belongs is as follows: firstly, dividing the physical sign characteristics into fixed attribute characteristics and variable attribute characteristics, wherein the fixed attributes can be understood as non-repetitive attributes such as gender, age and the like, and the attributes have uniqueness; variable attributes may be understood as repeatable attributes such as perspiration volume, amount of exercise, style of clothing, and material of clothing, which may vary with the user's preferences, e.g., the user may have a large amount of exercise, a small amount of exercise, a casual garment, an original garment, etc. Therefore, we first screen out some groups according to the fixed attributes, and then determine the character model of the user according to the variable attribute characteristics in the screened out groups. For example, the acquired physical characteristics include "sex male", "large amount of exercise", and "wear sports wear". The sex man belongs to a first character model and a second character model, and is a fixed attribute characteristic, so that the character model to which the user belongs is judged from the first character model and the second character model, and if the motion amount is large and the sportswear belongs to the first character model, the user is judged to belong to the first character model; if the "large amount of exercise" belongs to the first character model and the "wear suit" belongs to the second character model, it is determined that the user belongs to both the first character model and the second character model.
It should be noted that, in the above embodiment, only a small number of human physical characteristics are given for convenience of description, and those skilled in the art can understand that, in practical applications, the more the selected physical characteristics are, the closer the determined character model is to the user, and the more the recommendation information sent is in accordance with the expectation of the user.
Further, in order to more accurately determine the character model to which the user belongs, the average value/mode of all the sign feature data of the user acquired within 30 days may be calculated every 30 days (preset time), and then the high-frequency sign features of the user may be determined according to the calculated average value/mode, for example, if the number of times of "putting on the sports suit" is the largest among the sign features of the user acquired within 30 days, the sign feature of the "putting on the sports suit" may be used as the high-frequency sign feature, and then the character model corresponding to the group including the high-frequency sign feature may be used as the character model to which the user belongs. It should be noted that if there are more groups containing the high-frequency physical sign feature, the group is further filtered according to the second high-frequency physical sign feature until one or two character models to which the user ultimately belongs are determined. In addition, the preset time in the above can be flexibly set by those skilled in the art according to practical situations, for example, any time between 25 and 35 days can be selected, without departing from the scope of the present invention.
In summary, the invention determines the character model to which the user belongs through the acquired physical sign characteristics of the user, and then sends recommendation information to the user based on the character model. Therefore, the character model judged according to the physical sign characteristics of the user has high degree of attachment to the user, clothes of the user can be managed in a targeted mode according to different user preferences, behaviors and the like, recommendation information meeting user requirements is sent to the user, and user experience is greatly improved.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A clothing management method based on character model is characterized by comprising the following steps:
acquiring physical sign characteristics of a user;
determining a character model to which the user belongs according to the physical sign characteristics;
sending recommendation information to the user according to the character model;
n different character models are pre-established according to different physical sign characteristics, wherein n is a positive integer greater than or equal to 1.
2. The clothing management method of claim 1, wherein the n different character models are created as follows:
dividing the obtained physical sign characteristics into n groups according to a preset standard;
each group of sign features is respectively defined as a character model.
3. The clothing management method according to claim 2, wherein the step of determining the character model to which the user belongs according to the physical sign characteristics comprises:
judging the group to which each physical sign feature belongs;
judging the number of the sign features contained in each group;
and taking the character model corresponding to the group with the maximum number of the physical sign characteristics as the character model to which the user belongs.
4. The clothing management method according to claim 2, wherein the step of determining the character model to which the user belongs according to the physical sign characteristics comprises:
dividing the physical sign features into fixed attribute features and variable attribute features;
screening out a group containing the fixed attribute characteristics;
and determining the character model to which the user belongs according to the variable attribute characteristics based on the screened groups.
5. The clothing management method of claim 4, wherein the step of determining the character model to which the user belongs according to the variable attribute feature based on the screened group comprises:
judging the number of the variable attribute features contained in each screened group;
and taking the character model corresponding to the group containing the maximum number of variable attribute features as the character model to which the user belongs.
6. The clothing management method of claim 4, wherein the step of determining the character model to which the user belongs according to the variable attribute feature based on the screened group comprises:
judging groups containing variable attribute characteristics in the screened groups;
and taking the character models corresponding to the groups containing the variable attribute characteristics as the character models to which the users belong.
7. The clothing management method according to any one of claims 4 to 6, wherein the fixed attribute feature includes gender and/or age;
the variable attribute features comprise one or more of sweat amount, motion amount, dressing style and dressing material.
8. The clothing management method according to claim 2, wherein the step of determining the character model to which the user belongs according to the physical sign characteristics comprises:
calculating the average value/mode of all sign characteristic data of the user acquired within preset time;
determining high-frequency sign characteristics of the user according to the average value/mode;
and taking the character model corresponding to the group containing the high-frequency physical sign characteristics as the character model to which the user belongs.
9. The laundry management method according to claim 8, wherein the preset time is any time between 25-35 days; or the preset time is 30 days.
10. The clothes management method according to any one of claims 1 to 6, wherein the recommendation information comprises clothes collocation information, and/or clothes purchase recommendation information, and/or clothes washing/maintenance information, and/or washing article information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810873609.8A CN110796503A (en) | 2018-08-02 | 2018-08-02 | Clothing management method based on character model |
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| CN201810873609.8A CN110796503A (en) | 2018-08-02 | 2018-08-02 | Clothing management method based on character model |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400274A (en) * | 2013-07-22 | 2013-11-20 | 郝芳莉 | Personalized clothes virtual fitting service platform and virtual fitting method |
| CN105761127A (en) * | 2016-02-05 | 2016-07-13 | 上海和鹰机电科技股份有限公司 | Clothing style intelligent matching method based on sign information and system thereof |
| WO2016141647A1 (en) * | 2015-03-10 | 2016-09-15 | 青岛海尔洗衣机有限公司 | Intelligent clothing management device |
| CN106055893A (en) * | 2016-05-27 | 2016-10-26 | 杭州土网络科技有限公司 | Clothes matching scheme generation method based on fashion template database and automatic matching |
| CN106407423A (en) * | 2016-09-26 | 2017-02-15 | 珠海格力电器股份有限公司 | A makeup guidance method and device based on a terminal apparatus and a terminal apparatus |
| CN106776865A (en) * | 2016-11-29 | 2017-05-31 | 雷升庆 | A kind of garment coordination method and system based on user's dynamic need |
| CN107564109A (en) * | 2017-08-17 | 2018-01-09 | 广州视源电子科技股份有限公司 | A kind of clothing management method, device, equipment and storage medium |
| CN108170728A (en) * | 2017-12-12 | 2018-06-15 | 合肥龙图腾信息技术有限公司 | It is a kind of to be worn the clothes system based on weather condition intelligent recommendation |
| CN108256975A (en) * | 2018-01-23 | 2018-07-06 | 喻强 | Wearing for 3-D effect is provided for virtual fitting person take system and method based on artificial intelligence |
-
2018
- 2018-08-02 CN CN201810873609.8A patent/CN110796503A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103400274A (en) * | 2013-07-22 | 2013-11-20 | 郝芳莉 | Personalized clothes virtual fitting service platform and virtual fitting method |
| WO2016141647A1 (en) * | 2015-03-10 | 2016-09-15 | 青岛海尔洗衣机有限公司 | Intelligent clothing management device |
| CN105761127A (en) * | 2016-02-05 | 2016-07-13 | 上海和鹰机电科技股份有限公司 | Clothing style intelligent matching method based on sign information and system thereof |
| CN106055893A (en) * | 2016-05-27 | 2016-10-26 | 杭州土网络科技有限公司 | Clothes matching scheme generation method based on fashion template database and automatic matching |
| CN106407423A (en) * | 2016-09-26 | 2017-02-15 | 珠海格力电器股份有限公司 | A makeup guidance method and device based on a terminal apparatus and a terminal apparatus |
| CN106776865A (en) * | 2016-11-29 | 2017-05-31 | 雷升庆 | A kind of garment coordination method and system based on user's dynamic need |
| CN107564109A (en) * | 2017-08-17 | 2018-01-09 | 广州视源电子科技股份有限公司 | A kind of clothing management method, device, equipment and storage medium |
| CN108170728A (en) * | 2017-12-12 | 2018-06-15 | 合肥龙图腾信息技术有限公司 | It is a kind of to be worn the clothes system based on weather condition intelligent recommendation |
| CN108256975A (en) * | 2018-01-23 | 2018-07-06 | 喻强 | Wearing for 3-D effect is provided for virtual fitting person take system and method based on artificial intelligence |
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