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Product Search Scoring

product-search-scoring

Advanced product search system with keyword scoring, Vietnamese text normalization, multi-field matching, and search result ranking. USE WHEN implementing search functionality, adding keyword scoring to products, optimizing search algorithm, or improving search relevance.

SKILL.md

Full skill instructions

When to Activate This Skill

  • User says "tìm kiếm sản phẩm", "search products", "implement search"
  • Task involves search algorithm or keyword matching
  • Need to add scoring/​ranking to search results
  • Improving search relevance or performance
  • Implementing Vietnamese text search with accent handling
  • Adding search analytics or trending keywords

Core Architecture

3-Component System

Component 1: Text Normalization

  • Remove Vietnamese accents (à, á, ả... → a)
  • Convert to lowercase
  • Strip special characters
  • Normalize whitespace

Component 2: Keyword Processing

  • Split search input into individual terms
  • Filter stop words (từ, của, với, theo, etc.)
  • Remove empty terms
  • Maintain search index for fast lookup

Component 3: Query Building & Sorting

  • Multi-field search (name, brand, type, tags)
  • Multiple filter criteria (category, price, tags)
  • Relevance-based sorting
  • Pagination support

Cache Strategy

Implement caching to prevent repeated searches:

// Generate cache key from filters
protected function makeCacheKey(array $filters): string
{
    return 'product_filter_ids:' . md5(json_encode($filters));
}

// Cache product IDs from filter query
$cacheKey = $this->makeCacheKey($filters);
$cacheTtl = ProductCacheService::SHORT_CACHE_TTL; // e.g., 300 seconds

$allProductIds = Cache::remember($cacheKey, $cacheTtl, function () use ($filters) {
    $idQuery = Product::query()->select('products.id');
    $this->applyFilters($idQuery, $filters);
    $this->applySort($idQuery, $filters['sort']);
    return $idQuery->pluck('products.id')->all();
});

Search Index Field

Maintain a denormalized search_index column on products:

// In Product model migration or observer
$searchIndex = StringHelper::normalizeForSearch(
    implode(' ', [
        $product->name,
        $product->brand,
        $product->type,
        $product->tags->pluck('name')->join(' ')
    ])
);

$product->update(['search_index' => $searchIndex]);

Keyword Highlighting

Display found keywords highlighted in results:

public static function highlightSearchTerm(string $text, string $searchTerm): string
{
    if (empty($searchTerm)) return e($text);

    $searchTerms = self::splitSearchTerms($searchTerm);
    $highlighted = $text;

    foreach ($searchTerms as $term) {
        $pattern = '/(' . preg_quote($term, '/') . ')/​i';
        $highlighted = preg_replace($pattern, 
            '<mark class="bg-yellow-200">$1</​mark>', 
            $highlighted
        );
    }

    return $highlighted;
}

Common Patterns

Pattern 1: Simple Text Search

User searches "giày nike" → Find products with name containing both terms

Pattern 2: Category Filter + Search

User filters by "Tất, vớ" + searches "cotton" → Show cotton socks/​stockings

Pattern 3: Brand Filter + Sort

User selects "Nike" brand + sorts by price ascending → Show Nike products cheapest first

Pattern 4: Multi-filter

User selects type + brand + tags + searches → Combine all filters with AND/​OR logic

Key Principles

  1. Normalize Vietnamese text - Accent removal essential for accurate matching
  2. Filter stop words - Remove common Vietnamese words to improve relevance
  3. Use search_index - Denormalize search field for performance
  4. Cache aggressively - Cache filter results by normalized filter key
  5. Multi-field search - Search across name, brand, type, tags
  6. Flexible filtering - Support category, brand, price, tag filters
  7. Pagination-friendly - Cache IDs, then fetch only needed records

Scoring Improvements (Advanced)

For production, consider these enhancements:

  • Exact match boost: Higher score if full search term matches product name
  • Field weighting: Name match worth more than tag match
  • Freshness: Newer products ranked higher when relevance is equal
  • Popularity: Track search term frequency for trending keywords
  • User behavior: Click-through rate and sales indicate relevance

Critical Requirements

  • ⚠️ Always normalize Vietnamese text (accents cause 90% of missed matches)
  • ⚠️ Update search_index when product name/​brand/​type changes
  • ⚠️ Cache search queries (major performance bottleneck)
  • ✅ Support multiple filter combinations
  • ✅ Handle pagination efficiently

Related Skills

  • image-management: Use for product images in search results
  • filament-rules: For admin panel to manage products
  • database-backup: Before migrating to add search_index column

Supplementary Resources

For comprehensive implementation guide: read .claude/​skills/​workflows/​product-search-scoring/​CLAUDE.md


References

Implementation Steps: read .claude/​skills/​workflows/​product-search-scoring/​references/​implementation-steps.md

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