Golang builds an intelligent recommendation system: using Baidu AI interface to implement product recommendations

Golang builds an intelligent recommendation system: using Baidu AI interface to implement product recommendation

Introduction:
With the development of the Internet, people's shopping habits have also changed . More and more users choose to purchase goods online, citing convenience, speed and rich choices as the main reasons. However, finding the product that suits you among the vast amount of products can be a challenge. In order to solve this problem, the recommendation system has become an indispensable part of the e-commerce platform. In this article, we will introduce how to use Golang and Baidu AI interface to build an intelligent recommendation system, and implement the product recommendation function through sample code.

1. Preparation
First, we need to register a Baidu AI developer account and create an application to obtain the API Key and Secret Key. This information will be used to call Baidu AI interface to implement product recommendations.

2. Introduce dependency packages
In Golang, we can use third-party libraries to simplify code writing. In this example, we will use the "baidu-aip-sdk-go" library to call Baidu AI interface. You can use the following command to introduce this dependency:

go get github.com/Baidu-AIP/go-sdk/v2/face

3. Implement the product recommendation function
In this example , we use Baidu AI’s recommendation interface to recommend appropriate products to users based on the personal interests of users in the e-commerce platform. The following is a sample code to implement this function:

package main

import (
    "fmt"
    "github.com/Baidu-AIP/go-sdk/v2/face"
)

func main() {
    // 初始化百度AI客户端
    client := face.NewClient("YourAPIKey", "YourSecretKey")

    // 模拟用户的个人兴趣
    userId := "123456"
    userInterest := "化妆品"

    // 调用百度AI的推荐接口
    result, err := client.ProductRecommendation(userId, userInterest)
    if err != nil {
        fmt.Println("调用百度AI接口失败：", err)
        return
    }

    // 解析推荐结果
    for _, item := range result.Items {
        fmt.Println("商品名称：", item.Name)
        fmt.Println("商品价格：", item.Price)
        fmt.Println("商品链接：", item.Url)
        fmt.Println("-----------------------------------")
    }
}

In the above code, we first initialized the Baidu AI client, then simulated a user's personal interests, called Baidu AI's recommendation interface, and parsed Returned recommendation results. Finally, we print out the recommended results.

4. Summary
Through the above example code, we can see that it is relatively simple to build an intelligent recommendation system using Golang and Baidu AI interface. By calling Baidu AI's recommendation interface, we can recommend suitable products to users based on their personal interests. Of course, we can also expand and optimize the system according to actual needs, such as improving recommendation accuracy based on user historical purchase records, behavioral analysis, etc. I hope this article will help you build an intelligent recommendation system!

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