What are best practices for implementing a search feature in PHP that ranks words based on frequency and relevance?

To implement a search feature in PHP that ranks words based on frequency and relevance, you can use a combination of techniques such as tokenizing the search query, counting the frequency of each word in the search index, and calculating a relevance score based on the frequency of each word in the search results. You can then sort the search results by relevance score to display the most relevant results first. 

<?php
// Sample search query
$searchQuery = "Lorem ipsum dolor sit amet";

// Sample search index with frequency of words
$searchIndex = [
    "Lorem" => 10,
    "ipsum" => 5,
    "dolor" => 3,
    "sit" => 8,
    "amet" => 2
];

// Tokenize the search query
$words = explode(" ", $searchQuery);

// Calculate relevance score for each word
$relevanceScores = [];
foreach ($words as $word) {
    if (isset($searchIndex[$word])) {
        $relevanceScores[$word] = $searchIndex[$word];
    } else {
        $relevanceScores[$word] = 0;
    }
}

// Sort search results by relevance score
arsort($relevanceScores);

// Display search results
foreach ($relevanceScores as $word => $score) {
    echo $word . " - Relevance Score: " . $score . "\n";
}
?>

Keywords

search feature PHP frequency relevance ranking

Related Questions