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User taste model establishment method and device

A model building and taste technology, applied in the Internet field, can solve the problems of little recommendation meaning, users complaining that it is not delicious, and can not meet the needs of users' taste buds, etc.

Inactive Publication Date: 2018-11-02
ZHEJIANG KOUBEI NETWORK TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] With the development of Internet technology, many platforms have launched the function of recommending items to users. Many users hope to use this function to recommend some items to them for selection. At present, the commonly used item recommendation method on the platform is based on user purchase records or Recommendations are based on the user’s location information. The recommendations are items that have already been purchased or nearby stores. Often the user already eats the item and already knows where to buy it. The recommendation is not very meaningful. For items that the user has not eaten, the platform can only “chaotic” Recommendation, the recommendation is not accurate, many users complain that it is not delicious and cannot meet the needs of users' taste buds

Method used

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  • User taste model establishment method and device
  • User taste model establishment method and device
  • User taste model establishment method and device

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Embodiment Construction

[0113] 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.

[0114] figure 1 A schematic flowchart of a method for establishing a user taste model according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes the following steps:

[0115] Step S100, acquiring basic user data and user consumption data.

[0116] In this embodiment, the basic user data is data closely related to the city where the user lives, including: the city identifier of th...

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Abstract

The invention discloses a user taste model establishment method and device. The method comprises the following steps: acquiring user basic data and user consumption data; determining taste data corresponding to mainstream cuisines according to the user basic data; establishing an initial taste mode according to the taste data; analyzing things corresponding to the user consumption data to obtain ataste feature of the things; adjusting the taste data of the initial taste model according to the taste feature value of the things to obtain a user taste model. By quantizing the taste, the initialtaste model is established based on the quantized taste data, and then the initial taste model is continuously adjusted and perfected based on the user consumption data, thereby obtaining a more precise user taste model; the things can be recommended to the user based on the obtained user taste model, so that the recommended things can satisfy the taste bud hobby of the user, and the user can eatthe favorite things.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for establishing a user taste model. Background technique [0002] With the development of Internet technology, many platforms have launched the function of recommending items to users. Many users hope to use this function to recommend some items to them for selection. At present, the commonly used item recommendation method on the platform is based on user purchase records or Recommendations are based on the user’s location information. The recommendations are items that have already been purchased or nearby stores. Often the user already eats the item and already knows where to buy it. The recommendation is not very meaningful. For items that the user has not eaten, the platform can only “chaotic” Recommendation, the recommendation is not accurate. Many users complain that it is not delicious and cannot meet the needs of users' taste buds. Contents of...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 贺三元
Owner ZHEJIANG KOUBEI NETWORK TECH CO LTD