fix(gallery): fill tall portrait cards to full block width with object-cover crop

- ArtworkCard: add w-full to nova-card-media, use absolute inset-0 on img so
  object-cover fills the max-height capped box instead of collapsing the width
- MasonryGallery.css: add width:100% to media container, position img
  absolutely so top/bottom is cropped rather than leaving dark gaps
- Add React MasonryGallery + ArtworkCard components and entry point
- Add recommendation system: UserRecoProfile model/DTO/migration,
  SuggestedCreatorsController, SuggestedTagsController, Recommendation
  services, config/recommendations.php
- SimilarArtworksController, DiscoverController, HomepageService updates
- Update routes (api + web) and discover/for-you views
- Refresh favicon assets, update vite.config.js

config/recommendations.php

@@ -6,6 +6,61 @@ return [
     // Uses same queue family as vision jobs by default; keeps embedding work async and non-blocking.
     'queue' => env('RECOMMENDATIONS_QUEUE', env('VISION_QUEUE', 'default')),
 
+    // ─── Phase 1 "For You" feed scoring weights ───────────────────────────────
+    // Influences the PHP reranking pass after Meilisearch candidate retrieval.
+    // Tweak here without code changes.
+    'weights' => [
+        // Tag overlap score weight (0–1 normalized overlap fraction)
+        'tag_overlap'        => (float) env('RECO_W_TAG_OVERLAP',        0.40),
+        // Creator affinity score weight (1.0 if followed, 0 otherwise)
+        'creator_affinity'   => (float) env('RECO_W_CREATOR_AFFINITY',   0.25),
+        // Popularity boost (log-normalised views/downloads)
+        'popularity'         => (float) env('RECO_W_POPULARITY',         0.20),
+        // Freshness boost (exponential decay over 30 days)
+        'freshness'          => (float) env('RECO_W_FRESHNESS',          0.15),
+    ],
+
+    // ─── User preference signal weights ──────────────────────────────────────
+    // How much each user action contributes to building the reco profile.
+    'signal_weights' => [
+        'award'    => (float) env('RECO_SIG_AWARD',    5.0),
+        'favorite' => (float) env('RECO_SIG_FAVORITE', 3.0),
+        'reaction' => (float) env('RECO_SIG_REACTION', 2.0),
+        'view'     => (float) env('RECO_SIG_VIEW',     1.0),
+        'follow'   => (float) env('RECO_SIG_FOLLOW',   2.0),
+    ],
+
+    // ─── Candidate generation ──────────────────────────────────────────────────
+    // How many Meilisearch candidates to fetch before PHP reranking.
+    'candidate_pool_size' => (int) env('RECO_CANDIDATE_POOL', 200),
+
+    // ─── Diversity controls ────────────────────────────────────────────────────
+    // Maximum artworks per creator allowed in a single page of results.
+    'max_per_creator'     => (int) env('RECO_MAX_PER_CREATOR', 3),
+    // Minimum distinct tag count in first 20 feed results.
+    'min_unique_tags'     => (int) env('RECO_MIN_UNIQUE_TAGS', 5),
+
+    // ─── TTLs (seconds) ────────────────────────────────────────────────────────
+    'ttl' => [
+        // User reco profile cache (tag/creator affinity data)
+        'user_reco_profile'   => (int) env('RECO_TTL_PROFILE',      6 * 3600),
+        // For You paginated results cache
+        'for_you_feed'        => (int) env('RECO_TTL_FOR_YOU',       5 * 60),
+        // Similar artworks per artwork
+        'similar_artworks'    => (int) env('RECO_TTL_SIMILAR',       30 * 60),
+        // Suggested creators per user
+        'creator_suggestions' => (int) env('RECO_TTL_CREATORS',      30 * 60),
+        // Suggested tags per user
+        'tag_suggestions'     => (int) env('RECO_TTL_TAGS',          60 * 60),
+    ],
+
+    // ─── Profile limits ────────────────────────────────────────────────────────
+    'profile' => [
+        'top_tags_limit'         => (int) env('RECO_PROFILE_TAGS',      20),
+        'top_categories_limit'   => (int) env('RECO_PROFILE_CATS',       5),
+        'strong_creators_limit'  => (int) env('RECO_PROFILE_CREATORS',  50),
+    ],
+
     'embedding' => [
         'enabled' => env('RECOMMENDATIONS_EMBEDDING_ENABLED', true),
         'model' => env('RECOMMENDATIONS_EMBEDDING_MODEL', 'clip'),