Information recommendation method and information recommendation device

Abstract

The embodiment of the invention provides an information recommendation method and an information recommendation device, which relate to the technical field of computer application. According to the technical scheme provided by the embodiment of the invention, when a user is unfamiliar with a goods in a goods advertisement or a picture, one-touch scanning is triggered through a one-touch scanning function of an application in user equipment to acquire a goods information request, the user equipment can trigger a camera to scan and acquire the goods picture; the goods picture is subjected to picture processing to extract goods feature information in the picture; and according to the goods feature information, the goods information matched with the goods feature information is recommended. Thus, the recommendation information of an unfamiliar goods can be acquired quickly and accurately, and the experience of the user is greatly improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of computer applications, and in particular to an information recommendation method and device. Background technique [0002] In the food delivery environment, the existing technology is that the user enters keywords through the input box to search for relevant content, or the application itself recommends merchants’ products based on the business district and user preferences. [0003] When a user sees an advertisement or sees a picture of a product, especially if he doesn’t know much about the product, he needs to read the advertisement carefully or inquire about relevant information, and then enter keywords in the input box to search for relevant product information, which is very important. Time-consuming and energy-consuming, the user experience is poor, and the user's ignorance of the product will lead to limited input dimensions, resulting in inaccurate recommendation results...

AI Technical Summary

Problems solved by technology

[0003] When a user sees an advertisement or sees a picture of a product, especially if he doesn’t know much about the product, he needs to read the advertisement carefully or inquire about relevant information, and then enter keywords in the input box to search for relevant product information, which is very important. Time-consuming and energy-consuming, the user experience is poor, and the user's lack of understanding of the product will lead to limited input dimensions, resulting in inaccurate recommendation results

[0004] In addition, the recommendation of merchant dishes based on the business district and user preferences largely depends on the number of orders placed by users and the activity of users, so the recommended content is very limited.

If the user's activity is very low, the recommendation result will be inaccurate

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