Unlock instant, AI-driven research and patent intelligence for your innovation.

A dressing plan recommendation method and device based on historical data mining

A technology of historical data and recommendation method, applied in the field of electronic information, can solve the problem that the provision of the dressing index does not meet the needs of the actual environment, affecting the user's dressing experience, etc., to achieve the effect of ensuring the fit

Active Publication Date: 2019-09-06
上海沿汇文化传播有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the difference between the weather information in the actual environment and the weather information in the forecast, the actual clothing of the user does not necessarily match the clothing index provided in the weather forecast. For example, the weather information provided in the forecast The clothing index is: it is recommended to wear a shirt, but it is not suitable to wear a shirt in the actual environment, but to wear thicker clothes, which makes the clothing index provided in the existing weather forecast not meet the needs of the actual environment, thus affecting User's Dressing Experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A dressing plan recommendation method and device based on historical data mining
  • A dressing plan recommendation method and device based on historical data mining
  • A dressing plan recommendation method and device based on historical data mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] refer to figure 1 as shown, figure 1 A flow chart of a method for recommending a dressing scheme based on historical data mining is provided as an example of the present invention. Specifically, this embodiment provides a method for recommending a dressing scheme based on historical data mining, the method including the following steps:

[0044] S1. Obtain the current weather information of the target area;

[0045] S2. Obtain historical weather information of the target area that has a mapping relationship with the current weather information, wherein the historical weather information includes historical dates and historical weather information;

[0046] S3. Using data mining technology to dig out the picture data released by the website user in the target area in the historical date from the social networking site;

[0047] S4. Extracting clothing information from the picture data;

[0048] S5. Calculate the dressing information with the highest matching frequenc...

Embodiment 2

[0070] refer to figure 2 as shown, figure 2 A flow chart of a method for extracting clothing information provided by one of the examples of the present invention. Specifically, this embodiment is basically consistent with Embodiment 1, the difference is that in this embodiment, the dressing information is extracted from the picture data, that is, S4 includes:

[0071] S40, judging whether there is portrait data in the picture data;

[0072] If it exists, execute S41 to determine whether the environment in the picture data corresponds to outdoor;

[0073] If yes, execute S42, read the clothing type corresponding to the portrait data.

[0074] Specifically, first, it will be judged whether there is portrait data in the picture data, that is, to judge whether there are people in the picture, if not, the process will be ended directly, if there is portrait data, then it will be judged whether the environment in the picture data corresponds to the outdoor, that is To judge wh...

Embodiment 3

[0076] refer to image 3 as shown, image 3 A flow chart of a picture data mining method provided for one example of the present invention. This embodiment is basically the same as Embodiment 1, the difference is that in this embodiment, the data mining technology is used to dig out the picture data released by the website user in the target area in the historical date from the social networking site, namely S3 includes:

[0077] S30. Obtain the current time of the target area;

[0078] S31. Use data mining technology to dig out from the social networking site the picture data posted by the site user in the target area in the historical date at a time point that is the same as the current time or the difference does not exceed a preset time value.

[0079] Specifically, the current time of City A will be obtained, for example, set to 8:30, then as one of the ways, it will be excavated from social networking sites that the website user in the historical date posted in City A...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a historical data mining-based dressing scheme recommendation method and apparatus. The method comprises the steps of obtaining current weather information of a target region; obtaining historical weather information, with a mapping relationship with the current weather information, of the target region according to the current weather information, wherein the historical weather information comprises a historical date and historical weather news; mining out picture data released in the target region by website users in the historical date from a social website by utilizing a data mining technology; and extracting dressing information from the picture data, calculating the dressing information with the highest matching frequency, and recommending the dressing information with the highest matching frequency as a dressing scheme to a target user. In the way, the dressing scheme recommended to the user is the dressing information, with the highest wearing frequency, of the user in the historical weather information mapped with the current weather information, so that the recommendation of the dressing scheme better meets demands of the actual environment; and data acquisition is performed for the target region, so that the data fitness is ensured.

Description

technical field [0001] The invention relates to the field of electronic information technology, in particular to a method and device for recommending a dressing scheme based on historical data mining. Background technique [0002] With the advancement of science and technology, people's requirements for living standards are getting higher and higher. Existing weather forecast software is only used to report outdoor weather conditions, temperature, humidity, wind and other data, and to provide simple clothing index. However, in practical applications, due to the difference between the weather information in the actual environment and the weather information in the forecast, the actual clothing of the user does not necessarily match the clothing index provided in the weather forecast. For example, the weather information provided in the forecast The dressing index is: it is recommended to wear a shirt, but it is not suitable to wear a shirt in the actual environment, but to w...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/583G06Q50/00
Inventor 韩斌
Owner 上海沿汇文化传播有限公司