How to use PHP to implement the friend recommendation function in WeChat mini program

With the popularity and application scope of WeChat mini programs, more and more companies have begun to migrate their business to WeChat mini programs. In the WeChat mini program, the friend recommendation function is a very important service. So how to use PHP to implement the friend recommendation function in the WeChat applet?

1. Get user information

To implement the friend recommendation function, you first need to obtain user information, including user ID, name, avatar and other information. We can implement the function of obtaining user information through the API provided by WeChat in the mini program, and store the obtained information in the database for later use.

2. Friend relationship maintenance

The core of the friend recommendation function lies in the establishment of friend relationships. We can recommend friends by maintaining friend relationships in the database.

Create a friend table in the database, including friend relationship information, such as friend ID, friend nickname, friend avatar and other information. At the same time, the function of adding users to friends should be implemented in the mini program so that the friend information can be stored in the database.

3. Recommended Friend Algorithm

The recommended friend algorithm can be implemented based on the user’s common concerns, friend relationships and other factors. We can calculate the similarity between users based on these factors, and then recommend friends based on the similarity.

In PHP, we can use similarity calculation and sorting algorithms to implement friend recommendations. By calculating the similarity between users, friends with high similarity are recommended to users.

4. Implementing the friend recommendation function

In PHP, there are two main steps to implement the friend recommendation function:

Step 1: Obtain the current user information and Friend relationship information.

Step 2: Calculate the similarity between users through the recommendation algorithm, and recommend friends with high similarity to the user.

The implementation of the friend recommendation function requires in-depth research and practice, so it is recommended that developers explore more in practice.

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