Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Commodity recommendation method, commodity recommendation device and electronic equipment

A product recommendation and product technology, applied in the field of smart shopping, can solve the problems of users unable to accurately and effectively realize shopping, unable to bring a better shopping experience, lack of user demand recommendation, etc., achieve accurate and effective product recommendation, and reduce equipment usage. The effect of life and energy saving

Active Publication Date: 2018-10-30
BOE TECH GRP CO LTD
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current smart shopping cart usually only adds a display screen to display relevant product information, but lacks recommendations for user needs, especially for users with babies. achieve shopping
[0003] In the process of implementing this application, the inventor found that the existing technology has at least the following defects: the current lack of effective smart shopping solutions, especially for customers with special needs such as carrying babies, cannot bring them a better shopping 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
  • Commodity recommendation method, commodity recommendation device and electronic equipment
  • Commodity recommendation method, commodity recommendation device and electronic equipment
  • Commodity recommendation method, commodity recommendation device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] refer to figure 1 As shown, it is a schematic flowchart of an embodiment of the product recommendation method provided by the present invention. As can be seen from the figure, the product recommendation method includes the following steps:

[0064]Step S1 , detecting whether the sensing device arranged on the shopping cart is triggered; wherein, the sensing device includes one or more of a gravity sensor, an infrared sensor, and a temperature sensor. That is to say, on the shopping cart, you can choose to use gravity sensing, infrared sensing, or temperature sensing to detect things that are suspected of being put into the shopping cart. Of course, you can also choose a variety of joint sensing methods to trigger judgment. In addition, it should be noted that this application is mainly aimed at places such as physical supermarkets or shopping malls, where the structure or type of the shopping cart is not specifically limited, it can be a large shopping cart common in ...

Embodiment 2

[0090] refer to figure 2 As shown, it is a structural block diagram of an embodiment of the commodity recommendation device provided by the present invention. As can be seen from the figure, the commodity recommendation device includes:

[0091] The induction trigger unit 101 is used to detect whether the induction device preset on the shopping cart is triggered; and send a trigger instruction to the camera recognition unit 102 after being triggered; wherein, the induction trigger unit 101 can be connected to the induction device A unit may also be a unit including the sensing device.

[0092] The camera recognition unit 102 is configured to start the camera device to take pictures and determine whether there is a baby in the shopping cart after receiving the trigger instruction sent by the induction trigger unit; if there is a baby, then send a recommendation instruction to the commodity recommendation unit 103;

[0093] The product recommendation unit 103 is configured to...

Embodiment 3

[0115] refer to image 3 As shown in , it is a schematic diagram of the hardware structure of the device implementing the method for product recommendation provided by the present invention. The equipment includes:

[0116] at least one processor 201 and memory 202, image 3 A processor 201 is taken as an example.

[0117] The device for implementing the commodity recommendation method may also include: an input device 203 and an output device 204 .

[0118] The processor 201, the memory 202, the input device 203 and the output device 204 may be connected via a bus or in other ways, image 3 Take connection via bus as an example.

[0119] The memory 202, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as program instructions corresponding to the commodity recommendation method in the embodiment of the present application / module. The processor 201 executes...

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 commodity recommendation method, a commodity recommendation device and electronic equipment. The method comprises the steps of: detecting whether an induction device arrangedon a shopping trolley is triggered or not; if the induction device is triggered, starting photographing equipment to photograph, and judging whether a baby is in the shopping trolley or not; and, ifthe baby is in the shopping trolley, recommending pre-set commodities related to the baby to a user. According to the commodity recommendation method, the commodity recommendation device and the electronic equipment disclosed by the invention, due to arrangement of the induction device and the photographing equipment, photographing identification is carried out after induction triggering; whethera current user carries a baby or not can be judged accurately and effectively; therefore, commodities related to the baby can be accurately recommended to the current user; simultaneously, the photographing equipment is started by triggering; the energy consumption can be greatly reduced; the cost and the equipment life can be reduced; therefore, aiming at the characteristic of the user carrying the baby, relatively precise and effective commodity recommendation is realized; better shopping experience is provided for the user; and in addition, related equipment is low in energy consumption andlong in service life.

Description

technical field [0001] The present invention relates to the technical field related to smart shopping, in particular to a commodity recommendation method, device and electronic equipment. Background technique [0002] The emergence of smart shopping carts makes shopping more and more intelligent and humanized. For example, in order to facilitate shopping for parents with babies, the shopping cart is usually equipped with a seat or space for customers to choose to place the baby, and customers with babies usually have strong purchasing needs for baby products, and they hope to purchase as soon as possible. Complete the purchase. However, the current smart shopping cart usually only adds a display screen to display relevant product information, but lacks recommendations for user needs, especially for users with babies. Realize shopping. [0003] In the process of implementing this application, the inventor found that the existing technology has at least the following defect...

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 Applications(China)
IPC IPC(8): G06Q30/06G06V10/764
CPCG06Q30/0631G01C21/206G06V40/103G06V10/82G06V10/764B62B5/082G01C21/3407
Inventor 王晓红
Owner BOE TECH GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products