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Drug recommendation method and system

A recommendation method and recommendation system technology, applied in the field of drug recommendation methods and systems, can solve problems such as the inability to meet the accuracy and particularity of drug recommendation

Inactive Publication Date: 2019-04-16
壹药网科技(上海)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defect that the commodity recommendation in the prior art cannot meet the requirements for the accuracy and specificity of drug recommendation, and to provide a drug recommendation method that is accurate, personalized and in line with the characteristics of drug use and system

Method used

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  • Drug recommendation method and system
  • Drug recommendation method and system
  • Drug recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] Such as figure 1 As shown, the drug recommendation method of the present embodiment includes the following steps:

[0088] Step 101, obtaining a drug sales list.

[0089] Wherein, the drug sales list includes drug information of a plurality of drugs. Drug information includes at least one of the following parameters: commodity ID, name, third-level category, brand name, brand ID, manufacturer, manufacturer ID, drug type (including whether it is a prescription drug), product type (product, gift and package etc.), sales status, product status (disabled, enabled and displayed, etc.), sales price, ingredients, properties, function description, contraindication information, drug combination information (for example, hepatitis B antiviral drugs and hepatitis B liver protection drugs Item collocation information, as well as information on the diseases targeted by the drug, etc.) and sales ID, etc.

[0090] Step 102, setting a corresponding drug label image for each drug; se...

Embodiment 2

[0143] Such as image 3 As shown, the drug recommendation system of this embodiment includes: a drug sales list acquisition module 1 , a label image setting module 2 and a drug recommendation module 3 .

[0144] The drug sales list acquisition module 1 is used to acquire the drug sales list; the drug sales list includes drug information of a plurality of drugs.

[0145] The label image setting module 2 is used to set a corresponding drug label image for each drug, and set a user label image for each user.

[0146] The drug recommendation module 3 is used to select the drug to be recommended from the drug sales list according to the user label portrait and the drug label portrait.

[0147] Therefore, the drug to be recommended can be recommended to the user. Since the drug to be recommended is generated for the user through the drug label portrait and the user label portrait, the recommendation result is more accurate and conforms to the characteristics of the drug use. The r...

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Abstract

The invention discloses a medicine recommendation method and system. The drug recommendation method comprises the following steps: S1, obtaining a drug sales list, wherein the drug sales list comprises drug information of a plurality of drugs; setting a corresponding medicine label portrait for each medicine; wherein the drug label portrait comprises at least one drug label; wherein the medicine label is arranged according to the medicine information; S2, setting a user label portrait for each user; wherein the user tag portrait comprises at least one user tag, and the user tag is set according to user information; and S3, selecting drugs to be recommended from the drug sales list according to the user tag portrait and the drug tag portrait. According to the method and the device, accurateand personalized medicines conforming to the use characteristics of the medicines are recommended to the user.

Description

technical field [0001] The invention relates to the field of product recommendation, in particular to a drug recommendation method and system. Background technique [0002] The rapid development of electronic communication and the Internet has brought about great changes in people's living patterns and habits. More and more people tend to shop online, and online shopping has developed more vigorously because of its convenience, low transaction costs, wide variety, and unlimited space. In the process of Internet shopping, how to accurately recommend commodity information to suitable users, so that users can conveniently obtain the product information they need and are interested in from the vast commodity information, save users' search and query time, and improve user experience and Information processing efficiency has gradually become a concern of people. [0003] At present, there is no recommendation system specifically for drugs. Due to the particularity of policies a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631G06Q30/0635
Inventor 涂洋
Owner 壹药网科技(上海)股份有限公司
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