CN110533501A - Wearable product customization method and device based on big data - Google Patents
Wearable product customization method and device based on big data Download PDFInfo
- Publication number
- CN110533501A CN110533501A CN201910721927.7A CN201910721927A CN110533501A CN 110533501 A CN110533501 A CN 110533501A CN 201910721927 A CN201910721927 A CN 201910721927A CN 110533501 A CN110533501 A CN 110533501A
- Authority
- CN
- China
- Prior art keywords
- node
- commodity
- tree
- screening element
- wearable product
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The wearable product customization method and device based on big data that the invention discloses a kind of, this method comprises: building tree, wherein the input of tree includes item property and screening element；The commodity in corresponding node are found out according to screening element, wherein commodity are wearable product.Through the above technical solutions, providing a kind of method for realizing wearable product customization using big data, the data of acquisition can be managed collectively, in order to analyze user data.
Description
Technical field
The wearable product customization method and device based on big data that the present invention relates to a kind of.
Background technique
Traditional data collecting flowchart is relatively cumbersome, needs to expend a large amount of manpower and material resources.And the data of acquisition can not be unified to manage
Reason does not have substantive help for analysis user data.
Summary of the invention
For above-mentioned technical problem in the related technology, the present invention proposes a kind of wearable product individuality based on big data
Change method for customizing and device.
The technical scheme of the present invention is realized as follows:
According to an aspect of the invention, there is provided a kind of wearable product customization method based on big data,
Include:
Building tree, wherein the input of tree includes item property and screening element；
The commodity in corresponding node are found out according to screening element, wherein commodity are wearable product.
According to an embodiment of the present application, each node of tree includes following information: commodity set；The attribute set of node,
Each attribute set corresponds to next node, wherein finding next section according to the attribute set of item property set and node
Point；Element type and value are screened, wherein finding out corresponding child node according to value.
According to an embodiment of the present application, finding out the commodity in corresponding node according to screening element includes: according to screening element
Traversal tree finds out final child node according to screening path；Take the union of commodity in final child node, wherein and if concentrating
Commodity number be greater than preset value and then sort output, and if return to corresponding father node if the commodity number concentrated is not more than preset value.
According to an embodiment of the present application, building tree includes: the mapping between input screening element and item property, and according to
The weight of element is screened to construct tree.
According to another aspect of the present invention, a kind of wearable product customization device based on big data is provided,
Include:
Module is constructed, for constructing tree, wherein the input of tree includes item property and screening element；
Searching module, for finding out the commodity in corresponding node according to screening element, wherein commodity are wearable product.
According to an embodiment of the present application, each node of tree includes following information: commodity set；The attribute set of node,
Each attribute set corresponds to next node, wherein finding next section according to the attribute set of item property set and node
Point；Element type and value are screened, wherein finding out corresponding child node according to value.
According to an embodiment of the present application, searching module is found out final according to screening element traversal tree according to screening path
Child node；Also, searching module takes the union of commodity in final child node, wherein and if the commodity number concentrated be greater than it is default
Value then sorts output, and if the commodity number concentrated no more than returning to corresponding father node if preset value.
According to an embodiment of the present application, building module includes: input submodule, for inputting screening element and item property
Between mapping；Submodule is constructed, for constructing tree according to the weight of screening element.
The present invention a kind of realizes wearable product customization using big data through the above technical solutions, providing
Method can be managed collectively the data of acquisition, in order to analyze user data.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart of wearable product customization method according to an embodiment of the present invention；
Fig. 2 is the schematic diagram of the tree construction of wearable product customization method according to an embodiment of the present invention；
Fig. 3 is the schematic diagram of the screening element of wearable product customization method according to an embodiment of the present invention；
Fig. 4 is the schematic diagram of the Recommendations shown according to the recommendation rules of Fig. 3.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art's every other embodiment obtained belong to what the present invention protected
Range.
As shown in Figure 1, to provide a kind of wearable personalization of product based on big data fixed for embodiment according to the present invention
Method processed, method includes the following steps:
S10, building tree, wherein the input of tree includes item property and screening element；
S20 finds out the commodity in corresponding node according to screening element, and wherein commodity are wearable product.
By the above-mentioned technical proposal of the application, a kind of wearable product customization of utilization big data realization is provided
Method, the data of acquisition can be managed collectively, in order to analyze user data.
In one embodiment, at step S10, building tree may include: between input screening element and item property
Mapping, and according to screening element weight come construct tree.
In one embodiment, at step S20, according to screening element find out the commodity in corresponding node may include with
Lower step: according to screening element traversal tree, final child node is found out according to screening path；Take commodity in final child node
Union, wherein and if sort output if the commodity number concentrated is greater than preset value, and if the commodity number concentrated no more than preset value
Return to corresponding father node.
In some embodiments, each node of tree may include following information: commodity set；The attribute set of node,
Each attribute set corresponds to next node, wherein finding next section according to the attribute set of item property set and node
Point；Element type and value are screened, wherein finding out corresponding child node according to value.
Below in conjunction with shown in Fig. 2 to Fig. 4, the wearable product customization method of the application is illustrated.This Shen
Wearable product customization method please handles mass data using mathematical algorithm, to predict a possibility that things occurs,
The method for realizing personalized customization using big data.
Specific rules realize recommender system using the tree construction in algorithm.The input of tree is divided into two kinds, one kind be include belonging to
Property information commodity, need to find corresponding node according to item property, one kind is screening element, according to the answer of screening element
The commodity in corresponding node are found out, Fig. 2 show the tree construction abstracted.
Wherein, each tree node should include following three parts information: 1. commodity set (sorted set)；2. the node
Attribute set, corresponding next (next) node of each attribute set, according to item property set when the commodity of input
It is matched with the attribute set of node to find next node；3. element type (type) and value (value) set are screened, it can be with
Its corresponding child node is found according to different value values.
When adding commodity, each commodity correspond to several attribute major class, one attribute value of each attribute major class correspondence, to set into
Row dfs (Depth-First-Search), if item property major class collection is combined into the superset of tree node attribute major class, and commodity is every
The corresponding property value set α 1 of a attribute major class is the subset of the property value set α 2 of the corresponding attribute major class of tree node, then after
It is continuous to traverse its leaf node.Until being added in the commodity set (sorted set) of the node.
When Recommendations, which is traversed according to screening element, if certain screening element is not filled out, is defaulted as owning, according to sieve
Routing diameter obtains final leaf node, takes commodity union of sets collection in all leaf nodes, if sum is greater than 3, sorts defeated
Out, their father node is otherwise returned to.
As shown in figure 3, each screening element corresponds to several attribute major class, it is expressed as a, b, c, d ..., each attribute
Major class corresponds to several attribute values again, is expressed as set a1, a2 ....The sieve of the node for being distinguished as same depth of different Recommended Trees
Select element major class different.The mapping between all screening elements and goods attribute is inputted, is constructed according to the weight of screening element
Tree.As shown in figure 4, the Recommendations shown for the recommendation rules according to Fig. 3.
According to an embodiment of the invention, a kind of wearable product customization device based on big data is additionally provided,
Include:
Module is constructed, for constructing tree, wherein the input of tree includes item property and screening element；
Searching module, for finding out the commodity in corresponding node according to screening element, wherein commodity are wearable product.
In one embodiment, each node of tree includes following information: commodity set；The attribute set of node, each
Attribute set corresponds to next node, wherein finding next node according to the attribute set of item property set and node；
Element type and value are screened, wherein finding out corresponding child node according to value.
In one embodiment, searching module is found out final son according to screening path and is saved according to screening element traversal tree
Point；Also, searching module takes the union of commodity in final child node, wherein and if concentrate commodity number be greater than preset value if
Sequence output, and if the commodity number concentrated no more than returning to corresponding father node if preset value.
In one embodiment, building module includes: input submodule, for inputting between screening element and item property
Mapping；Submodule is constructed, for constructing tree according to the weight of screening element.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of wearable product customization method based on big data characterized by comprising
Building tree, wherein the input of the tree includes item property and screening element；
The commodity in corresponding node are found out according to the screening element, wherein the commodity are the wearable product.
2. wearable product customization method according to claim 1, which is characterized in that each of described tree is described
Node includes following information:
Commodity set；
The attribute set of the node, each attribute set correspond to next node, wherein according to the attribute of commodity
Gather with the attribute set of the node and finds the next node；
Element type and value are screened, wherein finding out corresponding child node according to described value.
3. wearable product customization method according to claim 1, which is characterized in that according to the screening element
The commodity found out in corresponding node include:
The tree is traversed according to the screening element, final child node is found out according to screening path；
Take the union of commodity in the final child node, wherein sort if commodity number that is described and concentrating is greater than preset value
Output returns to corresponding father node if commodity number that is described and concentrating is not more than the preset value.
4. wearable product customization method according to claim 1, which is characterized in that constructing the tree includes:
The mapping between the screening element and item property is inputted, and described to construct according to the weight of the screening element
Tree.
5. a kind of wearable product customization device based on big data characterized by comprising
Module is constructed, for constructing tree, wherein the input of the tree includes item property and screening element；
Searching module, for finding out the commodity in corresponding node according to the screening element, wherein the commodity can be worn to be described
Wear product.
6. wearable product customization device according to claim 5, which is characterized in that each of described tree is described
Node includes following information:
Commodity set；
The attribute set of the node, each attribute set correspond to next node, wherein according to the attribute of commodity
Gather with the attribute set of the node and finds the next node；
Element type and value are screened, wherein finding out corresponding child node according to described value.
7. wearable product customization device according to claim 5, which is characterized in that the searching module according to
The screening element traverses the tree, finds out final child node according to screening path；Also, the searching module take it is described most
The union of commodity in whole child node, wherein output of sorting if commodity number that is described and concentrating is greater than preset value, if it is described simultaneously
The commodity number of concentration then returns to corresponding father node no more than the preset value.
8. wearable product customization device according to claim 5, which is characterized in that the building module packet
It includes:
Input submodule, the mapping for inputting between the screening element and item property；
Submodule is constructed, for constructing the tree according to the weight of the screening element.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910721927.7A CN110533501A (en) | 2019-08-06 | 2019-08-06 | Wearable product customization method and device based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910721927.7A CN110533501A (en) | 2019-08-06 | 2019-08-06 | Wearable product customization method and device based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110533501A true CN110533501A (en) | 2019-12-03 |
Family
ID=68661510
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910721927.7A Pending CN110533501A (en) | 2019-08-06 | 2019-08-06 | Wearable product customization method and device based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110533501A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737044A (en) * | 2011-04-08 | 2012-10-17 | 阿里巴巴集团控股有限公司 | Method and device for releasing webpage information |
| CN103578015A (en) * | 2012-08-07 | 2014-02-12 | 阿里巴巴集团控股有限公司 | Method and device for achieving commodity attribute navigation |
| KR101595057B1 (en) * | 2014-09-11 | 2016-02-17 | 경희대학교 산학협력단 | Apparatus for big data analysis based on wearable device |
| CN109767282A (en) * | 2018-11-20 | 2019-05-17 | 北京五八亚太企业管理服务有限公司 | Intelligent commodity screening technique and device, electronic equipment |
-
2019
- 2019-08-06 CN CN201910721927.7A patent/CN110533501A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737044A (en) * | 2011-04-08 | 2012-10-17 | 阿里巴巴集团控股有限公司 | Method and device for releasing webpage information |
| CN103578015A (en) * | 2012-08-07 | 2014-02-12 | 阿里巴巴集团控股有限公司 | Method and device for achieving commodity attribute navigation |
| KR101595057B1 (en) * | 2014-09-11 | 2016-02-17 | 경희대학교 산학협력단 | Apparatus for big data analysis based on wearable device |
| CN109767282A (en) * | 2018-11-20 | 2019-05-17 | 北京五八亚太企业管理服务有限公司 | Intelligent commodity screening technique and device, electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Deutsch | Fortran programs for calculating connectivity of three-dimensional numerical models and for ranking multiple realizations | |
| US6151595A (en) | Methods for interactive visualization of spreading activation using time tubes and disk trees | |
| US6369819B1 (en) | Methods for visualizing transformations among related series of graphs | |
| CN110135494A (en) | Feature selection approach based on maximum information coefficient and Geordie index | |
| CN103729362A (en) | Method and device for determining navigation content | |
| CN103888541B (en) | Method and system for discovering cells fused with topology potential and spectral clustering | |
| US11170306B2 (en) | Rich entities for knowledge bases | |
| CN107357902A (en) | A kind of tables of data categorizing system and method based on correlation rule | |
| CN101320370A (en) | Deep layer web page data source sort management method based on query interface connection drawing | |
| CN106599325A (en) | Method for constructing data mining visualization platform based on R and HighCharts | |
| CN115858168B (en) | Earth application model arrangement system and method based on importance ranking | |
| CN108182294B (en) | Movie recommendation method and system based on frequent item set growth algorithm | |
| CN105426392A (en) | Collaborative filtering recommendation method and system | |
| CN106649385B (en) | Data reordering method and device based on HBase database | |
| CN105045835A (en) | Information searching method and apparatus | |
| Molina et al. | Defining and measuring transnational fields | |
| CN102231158B (en) | Data set recommendation method and system | |
| Tamir et al. | The generalized p‐forest problem on a tree network | |
| CN110533501A (en) | Wearable product customization method and device based on big data | |
| CN106302764A (en) | A kind of information-pushing method for WIFI equipment and device | |
| Klawe et al. | Upper and lower bounds on constructing alphabetic binary trees | |
| CN106487535A (en) | A kind of sorting technique of network flow data and device | |
| CN103279525B (en) | A kind of Multi-condition linkage searching method optimized based on Hash | |
| CN111950072A (en) | Full-vehicle configuration management method and system | |
| CN101128848A (en) | Graphic display of data from a KStore |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191203 |
|
| RJ01 | Rejection of invention patent application after publication |