CN106447436A - Mobile e-commerce image search shopping method - Google Patents
Mobile e-commerce image search shopping method Download PDFInfo
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- CN106447436A CN106447436A CN201610834170.9A CN201610834170A CN106447436A CN 106447436 A CN106447436 A CN 106447436A CN 201610834170 A CN201610834170 A CN 201610834170A CN 106447436 A CN106447436 A CN 106447436A
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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]
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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
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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Abstract
The invention provides a mobile e-commerce image search shopping method, comprising the following steps: S1, entering software; S2, logging; S3, photographing and uploading: a user carries out photographing operation via a corresponding photographing key in the shopping software, so that the shopping software acquires an image of a product desired to be bought by the user; S4, system searching; S5, displaying the result; and S6, user buying. Compared with the prior art, the method has the following advantages: the efficiency and convenience of image search are improved by using the cloud platform, a novel photographic shopping search service is provided for mobile terminal users, meanwhile, huge traffic and new marketing channels are brought to electronic merchants and off-line merchants, and the sale conversion rate and sale income of electronic merchants and off-line merchants are improved. Thus, the research of the project has important theoretical value and practical significance, and simultaneously has huge commercial value and wide application prospect.
Description
Technical field
The present invention is a kind of mobile e-business picture search purchase method, belongs to E-business Software field.
Background technology
In recent years, ecommerce presented the impetus of rapid growth, and particularly in 12 planning, electric business is put into
After emerging strategic industries, sane maturation is progressively moved towards in ecommerce while maintenance maintains sustained and rapid growth situation.Electronics
Commercial affairs carry out various commercial activities by the Internet, realize online transaction between the shopping online of consumer, trade company, online electricity
The activity such as son payment and various business transactions, can all produce substantial amounts of flow daily.But at the data of existing ecommerce
Reason also relies on the background server database that each electric business enterprise each builds, it is impossible to adapt to the need that data volume increasingly increases
Ask.When such as running into large-scale ultralow discount activity, server is in the face of numerous netizens while arise that system when logging in
The phenomenon of blocking collapse.
Cloud computing is the raising of parallel processing, distributed treatment and grid computing technology, and its composition server is included by many
The calculating cloud that individual calculation server is constituted, and the storage cloud being made up of multiple storage servers.By calculating cloud to pending
Data carry out parallel computation, improve the treatment effeciency of data；Multiple stage storage server is stored data in by storing cloud,
The storage load of client has been shared while ensure that the reliability of data storage.
Sometimes, user is in shopping, it is impossible to or be reluctant to scan for product with word.
Content of the invention
In view of the shortcomings of the prior art, it is an object of the present invention to provide a kind of mobile e-business picture search shopping side
Method, to solve the problems, such as to propose in above-mentioned background technology.
To achieve these goals, the present invention is by the following technical solutions realizing：A kind of mobile e-business figure
As search purchase method, comprise the following steps：
Step S1, enters software, and user enters shopping software by hand-held mobile terminal；
Step S2, logs in, and user enters the log-in interface of shopping software by hand-held mobile terminal, then according to shopping software
Prompting, is input into corresponding logon information, completes to log in；
Step S3, upload of taking pictures, user carries out photographing operation by corresponding shoot button in software of doing shopping, so that shopping
Software obtains the image of the product that user wishes to buy；
Step S4, system enters line retrieval, after software of doing shopping obtains the image of product that user wishes purchase, by big data cloud meter
Platform is calculated, view data is imported to the large-scale distributed data base of a concentration, or distributed storage cluster, and permissible
Clean on the basis of importing and pretreatment work, the data after analysis are pruned, obtain needing the number of record and storage
According to basic data conversion is by one or more operations in being loaded by data cleansing, data conversion, Data Integration and data
Pretreated data are entered by pretreated data by the SVM for statistical learning and the Naive Bayes for classifying
Row is excavated and is analyzed, and according to the corresponding relation for being obtained between product image and shopping software epigraph before, sets up different figures
As model training sample, according to iconic model training sample, returning for product image and shopping software epigraph before foundation, is obtained
Return model, as search model, according to search model, a similar threshold values is extracted, so as to retrieve therewith in shopping software
The front product image for obtaining product image similarity；
Step S5, as a result shows, the product information for searching out is extracted by shopping software, and is shown according to corresponding sortord
Come；
Step S6, user buys, and user passes through to browse the product information for showing in shopping software, so as to select to meet oneself purchase
The product of condition, completes shopping operation.
Further, in step sl, user downloads shopping by hand-held mobile terminal to the corresponding website of software of doing shopping
Software, subsequently into shopping software.
Further, the hand-held mobile terminal is a kind of smart mobile phone or panel computer.
Further, the shopping software is developed based on ARIXTRA or IOS.
Further, in step s 2, if software of doing shopping has been logged on to before user, skipping step S2, enters step
Rapid S3.
Further, in step s 5, product is sorted from high in the end according to popularity, popularity is sorted from low to high, sales volume from
Height is sorted on earth, sales volume is sorted from low to high, credit is sorted from high in the end, credit is sorted from low to high, price is arranged from high in the end
A kind of sort method during sequence and price are sorted from low to high is ranked up.
Further, in step s 6, if user is not in shopping software, the product for meeting oneself and buying condition is found
Product, then return to step S3.
Beneficial effects of the present invention：A kind of mobile e-business picture search purchase method of the present invention, using cloud platform
Efficiency and the convenience of picture search being improved, being that mobile end subscriber provides novel shopping search service of taking pictures, while being electric business
Huge flow and new Sales Channel are brought with offline businesses, improve sale conversion ratio and the sale receipts of electric business and offline businesses
Enter.Therefore, the research of this project has important theory value and realistic meaning, while with huge commercial value and extensive
Application prospect.
Description of the drawings
The detailed description that with reference to the following drawings, non-limiting example is made by reading, the further feature of the present invention,
Objects and advantages will become more apparent upon：
The step of Fig. 1 is a kind of mobile e-business picture search purchase method of the present invention is schemed.
Specific embodiment
Technological means, creation characteristic, reached purpose and effect for realizing the present invention is easy to understand, with reference to
Specific embodiment, is expanded on further the present invention.
Fig. 1 is referred to, the present invention provides a kind of technical scheme：A kind of mobile e-business picture search purchase method, bag
Include following steps：
Step S1, enters software, and user enters shopping software by hand-held mobile terminal；
Step S2, logs in, and user enters the log-in interface of shopping software by hand-held mobile terminal, then according to shopping software
Prompting, is input into corresponding logon information, completes to log in；
Step S3, upload of taking pictures, user carries out photographing operation by corresponding shoot button in software of doing shopping, so that shopping
Software obtains the image of the product that user wishes to buy；
Step S4, system enters line retrieval, after software of doing shopping obtains the image of product that user wishes purchase, by big data cloud meter
Platform is calculated, view data is imported to the large-scale distributed data base of a concentration, or distributed storage cluster, and permissible
Clean on the basis of importing and pretreatment work, the data after analysis are pruned, obtain needing the number of record and storage
According to basic data conversion is by one or more operations in being loaded by data cleansing, data conversion, Data Integration and data
Pretreated data are entered by pretreated data by the SVM for statistical learning and the Naive Bayes for classifying
Row is excavated and is analyzed, and according to the corresponding relation for being obtained between product image and shopping software epigraph before, sets up different figures
As model training sample, according to iconic model training sample, returning for product image and shopping software epigraph before foundation, is obtained
Return model, as search model, according to search model, a similar threshold values is extracted, so as to retrieve therewith in shopping software
The front product image for obtaining product image similarity；
Step S5, as a result shows, the product information for searching out is extracted by shopping software, and is shown according to corresponding sortord
Come；
Step S6, user buys, and user passes through to browse the product information for showing in shopping software, so as to select to meet oneself purchase
The product of condition, completes shopping operation.
In step sl, user downloads shopping software by hand-held mobile terminal to the corresponding website of software of doing shopping, then
Enter shopping software.
Hand-held mobile terminal is a kind of smart mobile phone or panel computer.
Shopping software is developed based on ARIXTRA or IOS.
In step s 2, if software of doing shopping has been logged on to before user, skipping step S2, enters step S3.
In step s 5, product is sorted from high in the end according to popularity, popularity is sorted from low to high, sales volume is arranged from high in the end
Sequence, sales volume are sorted from low to high, credit is sorted from high in the end, credit is sorted from low to high, price is sorted and valency from high in the end
A kind of sort method during lattice are sorted from low to high is ranked up.
In step s 6, if user is not in shopping software, the product for meeting oneself and buying condition is found, then returns step
Rapid S3.
As one embodiment of the present of invention：A kind of mobile e-business picture search purchase method of the present invention, utilizes
Cloud platform improves the efficiency of picture search and convenience, is that mobile end subscriber provides novel shopping search service of taking pictures, while
Be that electric business and offline businesses bring huge flow and new Sales Channel, improve electric business and offline businesses sale conversion ratio and
Income from sales.Therefore, the research of this project has important theory value and realistic meaning, at the same with huge commercial value and
It is widely applied prospect.
Ultimate principle and principal character and the advantages of the present invention of the present invention is had been shown and described above, for this area skill
For art personnel, it is clear that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and in the spirit without departing substantially from the present invention or
In the case of basic feature, the present invention can be realized in other specific forms.Therefore, no matter from the point of view of which point, all should be by
Embodiment regards exemplary as, and be nonrestrictive, the scope of the present invention by claims rather than on state
Bright restriction, it is intended that all changes in the implication and scope of the equivalency of claim that will fall are included in the present invention
Interior.
Moreover, it will be appreciated that although this specification is been described by according to embodiment, not each embodiment is only wrapped
Containing an independent technical scheme, this narrating mode of description is only that those skilled in the art should for clarity
Using description as an entirety, the technical scheme in each embodiment can also form those skilled in the art through appropriately combined
Understandable other embodiment.
Claims (7)
1. a kind of mobile e-business picture search purchase method, it is characterised in that：Comprise the following steps：
Step S1, enters software, and user enters shopping software by hand-held mobile terminal；
Step S2, logs in, and user enters the log-in interface of shopping software by hand-held mobile terminal, then according to shopping software
Prompting, is input into corresponding logon information, completes to log in；
Step S3, upload of taking pictures, user carries out photographing operation by corresponding shoot button in software of doing shopping, so that shopping
Software obtains the image of the product that user wishes to buy；
Step S4, system enters line retrieval, after software of doing shopping obtains the image of product that user wishes purchase, by big data cloud meter
Platform is calculated, view data is imported to the large-scale distributed data base of a concentration, or distributed storage cluster, and permissible
Clean on the basis of importing and pretreatment work, the data after analysis are pruned, obtain needing the number of record and storage
According to basic data conversion is by one or more operations in being loaded by data cleansing, data conversion, Data Integration and data
Pretreated data are entered by pretreated data by the SVM for statistical learning and the Naive Bayes for classifying
Row is excavated and is analyzed, and according to the corresponding relation for being obtained between product image and shopping software epigraph before, sets up different figures
As model training sample, according to iconic model training sample, returning for product image and shopping software epigraph before foundation, is obtained
Return model, as search model, according to search model, a similar threshold values is extracted, so as to retrieve therewith in shopping software
The front product image for obtaining product image similarity；
Step S5, as a result shows, the product information for searching out is extracted by shopping software, and is shown according to corresponding sortord
Come；
Step S6, user buys, and user passes through to browse the product information for showing in shopping software, so as to select to meet oneself purchase
The product of condition, completes shopping operation.
2. a kind of mobile e-business picture search purchase method according to claim 1, it is characterised in that：In step S1
In, user downloads shopping software by hand-held mobile terminal to the corresponding website of software of doing shopping, subsequently into shopping software.
3. a kind of mobile e-business picture search purchase method according to claim 1 and 2, it is characterised in that：Described
Hand-held mobile terminal is a kind of smart mobile phone or panel computer.
4. a kind of mobile e-business picture search purchase method according to claim 1, it is characterised in that：The shopping
Software is developed based on ARIXTRA or IOS.
5. a kind of mobile e-business picture search purchase method according to claim 1, it is characterised in that：In step S2
In, if software of doing shopping has been logged on to before user, skipping step S2, enters step S3.
6. a kind of mobile e-business picture search purchase method according to claim 1, it is characterised in that：In step S5
In, product is sorted from high in the end according to popularity, popularity is sorted from low to high, sales volume is sorted from high in the end, sales volume is arranged from low to high
During sequence, credit are sorted from high in the end, credit is sorted from low to high, price is sorted from high in the end and price is sorted from low to high
A kind of sort method is ranked up.
7. a kind of mobile e-business picture search purchase method according to claim 1, it is characterised in that：In step S6
In, if user is not in shopping software, the product for meeting oneself and buying condition is found, then return to step S3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610834170.9A CN106447436A (en) | 2016-09-20 | 2016-09-20 | Mobile e-commerce image search shopping method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610834170.9A CN106447436A (en) | 2016-09-20 | 2016-09-20 | Mobile e-commerce image search shopping method |
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| Publication Number | Publication Date |
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| CN106447436A true CN106447436A (en) | 2017-02-22 |
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ID=58165817
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610834170.9A Pending CN106447436A (en) | 2016-09-20 | 2016-09-20 | Mobile e-commerce image search shopping method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107316230A (en) * | 2017-07-04 | 2017-11-03 | 深圳齐心集团股份有限公司 | A kind of ecommerce picture search purchase system |
| WO2019006646A1 (en) * | 2017-07-04 | 2019-01-10 | 深圳齐心集团股份有限公司 | Image search-based shopping system for electronic commerce |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253995A (en) * | 2011-07-08 | 2011-11-23 | 盛乐信息技术（上海）有限公司 | Method and system for realizing image search by using position information |
| CN103729777A (en) * | 2013-12-12 | 2014-04-16 | 福建伊时代信息科技股份有限公司 | Online shopping method, device and system based on image recognition technology |
-
2016
- 2016-09-20 CN CN201610834170.9A patent/CN106447436A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253995A (en) * | 2011-07-08 | 2011-11-23 | 盛乐信息技术（上海）有限公司 | Method and system for realizing image search by using position information |
| CN103729777A (en) * | 2013-12-12 | 2014-04-16 | 福建伊时代信息科技股份有限公司 | Online shopping method, device and system based on image recognition technology |
Non-Patent Citations (1)
| Title |
|---|
| 阎毅 等: "《信息科学技术导论》", 31 August 2014, 西安电子科技大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107316230A (en) * | 2017-07-04 | 2017-11-03 | 深圳齐心集团股份有限公司 | A kind of ecommerce picture search purchase system |
| WO2019006646A1 (en) * | 2017-07-04 | 2019-01-10 | 深圳齐心集团股份有限公司 | Image search-based shopping system for electronic commerce |
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Application publication date: 20170222 |
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