Dish recommendation method and device

A recommendation method and technology for dishes, applied in the computer field, can solve problems such as inability to make accurate recommendations and inability to predict preferences, and achieve the effect of improving the ordering experience, high matching degree, and improving recommendation efficiency.

Active Publication Date: 2019-02-01
KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This scheme relies on the target user's historical interaction behavior to determine the target user's preference for the target object, and cannot accurately predict the preference degree of the target user who has no or less interaction with the target object, and thus cannot make accurate recommendations

Method used

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  • Dish recommendation method and device
  • Dish recommendation method and device

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Embodiment Construction

[0061] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0062] figure 1 A flow chart of a dish recommendation method according to an embodiment of the present invention is shown. like figure 1 As shown, the method includes:

[0063] Step S101, mapping user attribute information and scene attribute information of the target user into corresponding attribute information vectors.

[0064] Among them, the target user refers to the user who currently needs to recommend dishes; user attrib...

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Abstract

The invention discloses a vegetable recommendation method and a vegetable recommendation device, wherein, the method comprises the following steps: user attribute information and scene attribute information of a target user are mapped into corresponding attribute information vectors; Acquiring a vegetable vector of a plurality of dishes to be recommended; The attribute information vector and the vegetable vector of each dish to be recommended are inputted into the correlation degree model obtained by training, and the correlation degree value of the attribute information vector and the vegetable vector of each dish to be recommended is obtained; The recommended dishes are selected from a plurality of dishes to be recommended according to the correlation value and recommended to the targetuser. In accordance with that invention, dishes can be recommended without relying on the historical ordering behavior of the target user, Even for the target users whose ordering behavior is not rich, the relevance value between the attribute information vector of the corresponding target users and the vegetable vector of the food to be recommended can be obtained by using the relevance model, and the ordering experience of the target users can be improved by using the relevance value.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a dish recommendation method and device. Background technique [0002] With the rise of smart catering technology, the way of ordering food has evolved from traditional paper ordering to terminal intelligent ordering, for example, ordering food on a takeaway platform or ordering food in an ordering terminal provided by a restaurant. At the same time, in order to increase the order rate of dishes and enhance the user's ordering experience, more and more platforms that provide ordering services will recommend dishes to users through terminals. [0003] In the existing recommendation schemes, the user's preference information is usually determined according to the user's historical data, and recommendations are made based on the preference information. For example, in the Chinese patent application with application publication number CN1068157745A, the target user's dish componen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/12G06F16/36
CPCG06Q50/12
Inventor 黄健高理强
Owner KOU KOU XIANG CHUAN BEIJING NETWORK TECH CO LTD
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