| name | product-search-scoring |
| description | 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. |
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
- Normalize Vietnamese text - Accent removal essential for accurate matching
- Filter stop words - Remove common Vietnamese words to improve relevance
- Use search_index - Denormalize search field for performance
- Cache aggressively - Cache filter results by normalized filter key
- Multi-field search - Search across name, brand, type, tags
- Flexible filtering - Support category, brand, price, tag filters
- 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