PHP code example of mr4-lc / recommendation

    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

    

mr4-lc / recommendation example snippets

return [
    'featureWeight' => 1,
    'categoryWeight' => 1,
    'priceWeight' => 1,
    'priceHighRange' => 1000,

    'chunkSize' => 1000,
    'perPage' => 5,

    'output' => storage_path('app/private/recommendation/data'),

    'mapping' => [
        'tables' => [
            // Sample config
            'table_name' => [
                'data_version' => '0.0.1',
                'output' => 'table_name.json',
                // SQL WHERE condition
                'status' => [
                    'status' => 1,
                ],
                // SQL ORDER BY
                'order' => 'id',
                // Customize model response
                'model' => \App\Models\SomeModel::class,
                // Load relatíonhip
                'model_with' => ['tags'],
                // Customize similarity
                'class' => \App\Similarities\PostSimilarity::class,
                'map' => [
                    'id' => 'id',
                    'price' => 'price',
                    'categories' => ['categories', 'group'], // Array or string column name,
                    'features' => ['color', 'type'], // Array or string column name,
                ],
                'map_type' => [
                    'categories' => 'merge', // String data
                    'features' => 'object', // Object data
                ],
            ],
        ],
    ],
];

namespace App\Similarities;

use Mr4Lc\Recommendation\Similarity\Similarity;

class PostSimilarity extends \Mr4Lc\Recommendation\Similarity\ItemSimilarity
{
    protected function calculateSimilarityScore($productA, $productB)
    {
        $productAFeatures = implode('', get_object_vars($productA->features));
        $productBFeatures = implode('', get_object_vars($productB->features));

        return array_sum([
            (Similarity::hamming($productAFeatures, $productBFeatures) * $this->featureWeight),
            (Similarity::jaccard($productA->categories, $productB->categories) * $this->categoryWeight)
        ]) / ($this->featureWeight + $this->categoryWeight);
    }

    public static function GetSimilarityPosts($product_id, $page = null, $perPage = null, $pagePrefix = 'page')
    {
        $products = static::GetSimilarityItems('posts', $product_id, $page, $perPage, $pagePrefix);
        return $products;
    }
}

$fields = request()->validate([
    'item_name' => ['ilarity::GetSimilarityItems($fields['item_name'], $fields['item_id']);
return new JsonResponse($result, 200);

bash
php artisan recommendation:export {tableName} {--chunkSize=}

bash
php artisan recommendation:create {tableName} {--id=}