How to use PHP to develop the product search and intelligent recommendation functions of the grocery shopping system?

How to use PHP to develop the product search and intelligent recommendation functions of the grocery shopping system?

With the development and popularization of Internet technology, shopping is no longer limited to traditional physical stores, and more and more people are beginning to choose online shopping. As part of it, the grocery shopping system provides a more convenient and intelligent shopping experience with the help of PHP language development. This article will introduce how to use PHP to develop the product search and intelligent recommendation functions of the grocery shopping system.

1. Implementation of product search function

1. Database design

First, we need to design a database to store product information. You can create a table named "products", including fields: product ID (product_id), product name (product_name), product description (product_description), etc.

2. Front-end page

In the HTML page, create a form for users to enter search keywords. Then, the keywords entered by the user are passed to the backend for processing through PHP code. For example:

3. Backend logic

in search In the .php file, receive and process the search keywords passed by the front-end page. Use MySQL's LIKE statement to query product information matching keywords in the database. For example:

$keyword = $_GET['keyword'];
// Connect to the database
$conn = mysqli_connect('localhost', 'username', ' password', 'database_name');
// Query product information
$sql = "SELECT * FROM products WHERE product_name LIKE '%$keyword%'";
$result = mysqli_query($conn, $ sql);
// Output search results
while ($row = mysqli_fetch_assoc($result)) {

echo $row['product_name'];
echo $row['product_description'];
// ...

}
?>

In this way, when the user After entering keywords and clicking the search button, the system will return matching product information to the user.

2. Implementation of the intelligent recommendation function

1. User preference records

In order to implement the intelligent recommendation function, we need to collect and analyze user preference records. You can create a table named "users", including fields: user ID (user_id), product ID (product_id), etc.

2. Product Rating

Allows users to rate products, which is used to determine the user's preference for each product. You can create a table named "ratings", including fields: user ID (user_id), product ID (product_id), rating (rating), etc.

3. Recommendation Algorithm

By using recommendation algorithms such as collaborative filtering, we can recommend products that match the user's preferences based on the user's preference records and product ratings. The specific implementation is beyond the scope of this article, but the algorithm function can be implemented by calling the corresponding PHP function. For example:

// Call the recommendation algorithm function
$recommendations = getRecommendations($user_id);
// Output the recommendation results
foreach ($recommendations as $ product) {

echo $product['product_name'];
echo $product['product_description'];
// ...

}
?>

Through the above steps, we can implement intelligent product recommendations based on user preference records and improve user shopping satisfaction.

Summary:

Using PHP to develop the product search and intelligent recommendation functions of the grocery shopping system can provide users with a more convenient and intelligent shopping experience. Through good database design and flexible programming logic, product search and intelligent recommendation functions can be realized. With these functions, users can search and filter products more conveniently and obtain recommended products based on personal preferences, thereby improving shopping convenience and satisfaction.

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