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RJDonaire / Medicine-Recommendation-System

A small project from our college course, Pattern Recognition, in creating a recommendation system.
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method #1

Open RZ-hzw opened 3 years ago

RZ-hzw commented 3 years ago

Hello, I would like to ask what method is used in this recommendation system? Is there any relevant information you can learn?

RJDonaire commented 3 years ago

The methods that we used for this program are Jaccard Similarity and Cosine Similarity.

The information provided by these methods is based on the solution we've come up and the dataset we've found. The dataset has two essential columns: the drug name and the corresponding condition it was treating. We then mapped these two columns into a binary matrix and then proceeded in using these methods. The resulting correlation scores shows what medicine is commonly used to treat the condition.

The solution that we made is based off on Google's Recommendation Systems provided in this link: https://developers.google.com/machine-learning/recommendation

RZ-hzw commented 3 years ago

Thank you very much for your reply, which has solved my doubts.

------------------ 原始邮件 ------------------ 发件人: "RJDonaire/Medicine-Recommendation-System" @.>; 发送时间: 2021年9月18日(星期六) 晚上6:48 @.>; @.**@.>; 主题: Re: [RJDonaire/Medicine-Recommendation-System] method (#1)

The methods that we used for this program are Jaccard Similarity and Cosine Similarity.

The information provided by these methods is based on the solution we've come up and the dataset we've found. The dataset has two essential columns: the drug name and the corresponding condition it was treating. We then mapped these two columns into a binary matrix and then proceeded in using these methods. The resulting correlation scores shows what medicine is commonly used to treat the condition.

The solution that we made is based off on Google's Recommendation Systems provided in this link: https://developers.google.com/machine-learning/recommendation

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