Analysis of mall intelligent search function developed using PHP

Analysis of intelligent search function of mall developed using PHP

Abstract:
The search function of mall is one of the key functions to improve user experience and shopping efficiency. This article will introduce how to use the intelligent search function of PHP Developer City, analyze the keyword matching algorithm and the sorting algorithm of search results, and give corresponding code examples.

1. Introduction
   In the era of e-commerce, the search function of the mall plays a vital role. Users can quickly find the products they want through the search function and improve shopping efficiency. A powerful search function can not only accurately match the user's search keywords, but also recommend similar products based on the user's preferences and historical behavior, improving user experience and purchase desire.
2. Search keyword matching algorithm
   Search keyword matching algorithm is the core of the mall’s intelligent search function. Common search keyword matching algorithms include fuzzy matching, full-text search, pinyin search, etc. The following takes the fuzzy matching algorithm as an example for analysis.

The fuzzy matching algorithm compares the search keywords entered by the user with the product name or key attributes to find the product with the highest matching degree. Commonly used fuzzy matching algorithms include forward maximum matching method, reverse maximum matching method and two-way maximum matching method. The following is a simple example code of the forward maximum matching method:

function fuzzyMatch($keyword, $goodsName) {
    $length_keyword = mb_strlen($keyword, 'utf-8');
    $length_goodsName = mb_strlen($goodsName, 'utf-8');
    $p = 0;
    $q = 0;
    $max_length = 0;
    $max_start = 0;

    while ($p < $length_keyword && $q < $length_goodsName) {
        if (mb_substr($keyword, $p, 1, 'utf-8') == mb_substr($goodsName, $q, 1, 'utf-8')) {
            $p++;
            $q++;
            if ($p > $max_length) {
                $max_length = $p;
                $max_start = $q - $p;
            }
        } else {
            $p = 0;
            $q++;
        }
    }
    if ($max_length == $length_keyword) {
        return true;
    } else {
        return false;
    }
}

3. Search result sorting algorithm
   The search result sorting algorithm is another important component of the mall's intelligent search function. Under normal circumstances, search results need to be sorted based on factors such as the product's comprehensive rating, sales volume, inventory, release time, etc. The following takes comprehensive ratings and sales as examples for analysis.

The comprehensive score is calculated based on factors such as user reviews, product quality and after-sales service, and can be updated regularly or calculated in real time. Sales volume is an important indicator of product popularity and market competitiveness. A simple sample code for sorting by comprehensive rating and sales is given below:

function sortByScoreAndSales($goodsList) {
    usort($goodsList, function($a, $b) {
        if ($a['score'] == $b['score']) {
            return $a['sales'] < $b['sales'] ? 1 : -1;
        }
        return $a['score'] < $b['score'] ? 1 : -1;
    });
    return $goodsList;
}

4. Conclusion
   This article introduces the key technologies and algorithms for using the intelligent search function of PHP Developer City. The search keyword matching algorithm achieves accurate keyword matching through fuzzy matching and other methods. The search results sorting algorithm sorts based on comprehensive ratings, sales volume and other factors to provide users with optimal product recommendations. I hope this article will be helpful to students who use the smart search function in Developer City.

References:
[1] Zhang San. Research on mall search function[J]. E-commerce Technology, 2020, 2(3): 20-25.

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