CN104899299A - Method for recommending commodity size according to user information - Google Patents

Method for recommending commodity size according to user information Download PDF

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Publication number
CN104899299A
CN104899299A CN201510312900.4A CN201510312900A CN104899299A CN 104899299 A CN104899299 A CN 104899299A CN 201510312900 A CN201510312900 A CN 201510312900A CN 104899299 A CN104899299 A CN 104899299A
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size
user
commodity
data
feedback
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丁刚
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Priority to PCT/CN2016/080856 priority patent/WO2016197746A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465—Query processing support for facilitating data mining operations in structured databases
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • G06Q30/0281—Customer communication at a business location, e.g. providing product or service information, consulting

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Abstract

The invention discloses a method for recommending commodity size according to user information. The method is characterized in that the method includes following steps: user information acquisition, data analysis processing, size prediction, prediction result correction, and prediction data improvement. According to the method, a user's body is regarded as the scale, the recommended sizes of non-tried commodities for the users can be predicted according to comprehensive processing of size feedback data of tried commodities of different users and size data of various body parts measured by the users themselves, users can predict the suitable sizes without actually trying the target commodities, the defect that in the conventional method, the commodity size is directly converted and predicted via measured user data is avoided, and the selection of the commodity size is convenient and reliable.

Description

A kind of method according to user profile Recommendations size
Technical field
The present invention relates to technical field of information processing, relate to a kind of method according to user profile Recommendations size in particular.
Background technology
According to Human Physiology condition difference, the product type selecting different size is needed for clothes, underwear, underpants, trousers, footwear etc., country variant, different geographical and different brands are in design with when producing respective commodity, can consider the respective size specification of adjustment according to aspects such as the physical trait of the target customers of oneself, dress hobby and various countries' code systems, there is the situation that difference is experienced in dress in the similar commodity causing nominal identical size.
And when net purchase, cannot by trying confirmation size on when user buys these commodity.Two kinds of methods below usual employing are chosen, method one: the evaluation with reference to other consumers is bought, but due to the individual difference of different user, the size that other people evaluation cannot effectively instruct self-selection suitable, causes doing shopping unsuccessfully.Method two: to footwear commodity, normally businessman first provides the size measurement data of commodity itself, and self size data then measured according to user carries out Corresponding matching and conversion, obtains recommending size.But due to the singularity of footwear commodity, the data such as width, latitude, thickness of shoe last are difficult to the condition possessing Measurement accuracy for common businessman, and the error that when user self measures, dynamics size different band is come is very large, example: the wide data deviation of pin 2 millimeters may will produce the error of a code, the 2.5 millimeters of meetings of pin long data deviation cause the error of half yard, therefore this method is larger on dress experience impact, be applicable to easily obtain accurate measurements, and the product type that the dimension of impact dress experience is considerably less.
Therefore how to provide that a kind of to choose the convenient method reliably of commodity size be the problem that those skilled in the art need solution badly.
Summary of the invention
In view of this, the invention provides a kind of method choosing commodity size with convenient certain features.
For achieving the above object, the invention provides following technical scheme:
According to a method for user profile Recommendations size, comprise following step:
(1) user profile collection: collect every user to different commodity actual dress experience feedback information, formed database, feedback information comprise only try feedback on, only have physical measurement data, try on feed back and physical measurement data.
(2) Data Analysis Services: analyze the information that every user provides, judge tested by user through different commodity the relativeness of size, magnitude relationship between user's body size and user feedback information.
(3) size is predicted: set up the database of size relativeness and the feedback information data storehouse of user between size relational database between different commodity, different user according to the relativeness between commodity sizes all in database, can by any one in above three kinds of databases, or two kinds or three kinds of databases judge the size suggestion doping every part commodity jointly.
(4) predict the outcome correction and predicted data improvement.
In the present invention using the health of user as scale, according to different user, overall treatment is carried out to the parts of body size data that the size feedback data and user of trying commodity separately on are tested oneself, dope the recommendation size of the commodity that user had not passed, user is allowed not need actual end article of trying on just can dope suitable size, avoiding in conventional method and directly converting infers the defect of commodity size by measuring user data, having and choose convenient feature reliably choosing commodity size.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 accompanying drawing is schematic flow sheet of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the invention discloses a kind of method choosing commodity size with convenient certain features.
Refer to accompanying drawing 1, be the schematic flow sheet of a kind of method according to user profile Recommendations size disclosed by the invention, specifically comprise following step:
(1) user profile collection: collect the feedback information that the actual dress of every user to different commodity is experienced, form database, feedback information comprise only try feedback on, only have physical measurement data, try on feedback and physical measurement data, try feedback on and comprise brand, trade name, size, comfort level etc.
(2) Data Analysis Services: analyze the information that every user provides, judge tested by user through different commodity the relativeness of size, magnitude relationship between user's body size and user feedback information.
(3) size is predicted: set up the database of size relativeness and the feedback information data storehouse of user between size relational database between different commodity, different user according to the relativeness between commodity sizes all in database, can by any one in above three kinds of databases, or two kinds or three kinds of databases judge the size suggestion doping every part commodity jointly.
(4) predict the outcome correction and predicted data improvement.
In the present invention using the health of user as scale, according to different user, overall treatment is carried out to the parts of body size data that the size feedback data and user of trying commodity separately on are tested oneself, dope the recommendation size of the commodity that user had not passed, user is allowed not need actual end article of trying on just can dope suitable size, avoiding in conventional method and directly converting infers the defect of commodity size by measuring user data, having and choose convenient feature reliably choosing commodity size.
In order to optimize technique scheme further, specific embodiment is:
A, collect every user to different commodity actual dress experience feedback information, form database, feedback information comprise only try feedback on, only have physical measurement data, try on feedback and physical measurement data, try feedback on and comprise brand, trade name, size, comfort level etc., such as, feed back one yard bigger than normal of the size of a certain parameter of a certain commodity, one yard less than normal, the information such as wider, partially thin, suitable.
B, analyze the information that every user provides, judge tested by user through different commodity the relativeness of size, magnitude relationship between user's body size and user feedback information.
C, set up the database of size relativeness and the feedback information data storehouse of user between size relational database between different commodity, different user according to the relativeness between commodity sizes all in database, can by any one in above three kinds of databases, or two kinds or three kinds of databases judge the size suggestion doping every part commodity jointly.When user wants the size data obtaining known product, only need submit the feedback information oneself trying the known commodity of part on to, size suggestion can be obtained; When user wants to obtain the size data of known product, but this user cannot submit known commodity to wear feedback information, now can submit the measurement data of a human body part to, go out the suggestion of corresponding size through Data analysis predicts.
D, predict the outcome correction and predicted data improve, the commodity amount for same user feedback is more, and predicting the outcome of obtaining is more accurate.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (1)

1. according to a method for user profile Recommendations size, it is characterized in that, comprise following step:
(1) user profile collection: collect the feedback information that the actual dress of every user to different commodity is experienced, form database, feedback information is for only trying feedback on, only having physical measurement data, trying feedback and physical measurement data on.
(2) Data Analysis Services: analyze the information that every user provides, judge tested by user through different commodity the relativeness of size, magnitude relationship between user's body size and user feedback information.
(3) size is predicted: set up the database of size relativeness and the feedback information data storehouse of user between size relational database between different commodity, different user according to the relativeness between commodity sizes all in database, can by any one in above three kinds of databases, or two kinds or three kinds of databases judge the size suggestion doping every part commodity jointly.
(4) predict the outcome correction and predicted data improvement.
CN201510312900.4A 2015-06-10 2015-06-10 Method for recommending commodity size according to user information Pending CN104899299A (en)

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PCT/CN2016/080856 WO2016197746A1 (en) 2015-06-10 2016-05-03 Method for recommending product size according to user information

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105550921A (en) * 2015-12-14 2016-05-04 王春林 Intelligent clothes selection method and system
WO2016197746A1 (en) * 2015-06-10 2016-12-15 丁刚 Method for recommending product size according to user information
CN106611318A (en) * 2015-10-21 2017-05-03 阿里巴巴集团控股有限公司 Commodity size selection method and system
CN106937774A (en) * 2017-03-30 2017-07-11 李文谦 A kind of shoe tree size Forecasting Methodology and prediction meanss based on deep learning
CN107944921A (en) * 2017-12-04 2018-04-20 四川九鼎智远知识产权运营有限公司 A kind of shared bicycle put-on method based on user information
CN107958407A (en) * 2017-12-04 2018-04-24 四川九鼎智远知识产权运营有限公司 A kind of shared bicycle jettison system based on user information
CN108882776A (en) * 2016-02-26 2018-11-23 耐克创新有限合伙公司 The method for customizing footwear product
CN111667330A (en) * 2019-03-08 2020-09-15 天津大学 Clothing size recommendation method based on big data analysis of user evaluation
CN113742323A (en) * 2021-07-22 2021-12-03 定智衣(上海)服装科技有限公司 Scheme for efficiently correcting individual characteristic dimension of human body

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CN113535922B (en) * 2021-07-22 2024-02-02 唯品会(广州)软件有限公司 Size information determining method and device

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CN104504581A (en) * 2014-12-18 2015-04-08 东华大学 Garment size managing method based on big data and e-commerce platform

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CN102693489A (en) * 2012-05-18 2012-09-26 刘珉恺 Selling method for selecting fitted costumes based on network platform
CN104484816B (en) * 2014-12-19 2018-04-27 常州云从信息科技有限公司 Clothes purchase guiding system and method based on big data analysis
CN104899299A (en) * 2015-06-10 2015-09-09 丁刚 Method for recommending commodity size according to user information

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CN104504581A (en) * 2014-12-18 2015-04-08 东华大学 Garment size managing method based on big data and e-commerce platform

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016197746A1 (en) * 2015-06-10 2016-12-15 丁刚 Method for recommending product size according to user information
CN106611318A (en) * 2015-10-21 2017-05-03 阿里巴巴集团控股有限公司 Commodity size selection method and system
CN105550921A (en) * 2015-12-14 2016-05-04 王春林 Intelligent clothes selection method and system
US11093989B2 (en) 2016-02-26 2021-08-17 Nike, Inc. Method of customizing articles of footwear
US11900432B2 (en) 2016-02-26 2024-02-13 Nike, Inc. System for customizing articles of footwear
CN108882776B (en) * 2016-02-26 2023-09-26 耐克创新有限合伙公司 Method of customizing an article of footwear
CN108882776A (en) * 2016-02-26 2018-11-23 耐克创新有限合伙公司 The method for customizing footwear product
CN106937774A (en) * 2017-03-30 2017-07-11 李文谦 A kind of shoe tree size Forecasting Methodology and prediction meanss based on deep learning
CN106937774B (en) * 2017-03-30 2022-05-20 李文谦 Shoe tree size prediction method and device based on deep learning
CN107958407A (en) * 2017-12-04 2018-04-24 四川九鼎智远知识产权运营有限公司 A kind of shared bicycle jettison system based on user information
CN107944921A (en) * 2017-12-04 2018-04-20 四川九鼎智远知识产权运营有限公司 A kind of shared bicycle put-on method based on user information
CN111667330A (en) * 2019-03-08 2020-09-15 天津大学 Clothing size recommendation method based on big data analysis of user evaluation
CN113742323A (en) * 2021-07-22 2021-12-03 定智衣(上海)服装科技有限公司 Scheme for efficiently correcting individual characteristic dimension of human body
CN113742323B (en) * 2021-07-22 2023-11-17 定智衣(上海)服装科技有限公司 Method for correcting individual characteristic size of human body

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Application publication date: 20150909