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README.md

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- **Background Sync**: Keeps your catalogs updated automatically in the background.
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- **Performance Optimized**: Intelligent caching for fast and reliable responses.
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### Screenshot
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<img src="./app/static/screenshots/homepage.png" alt="Top Picks" width="800"/>
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Find more screenshots [here](./app/static/screenshots/)
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## Installation
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### Using Docker (Recommended)

app/services/recommendation/all_based.py

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@@ -145,7 +145,7 @@ async def get_recommendations_from_all_items(
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final = filter_watched_by_imdb(enriched, watched_imdb)
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# Return top N
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return final[:limit]
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return final
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async def _fetch_recommendations_for_item(self, item_id: str, mtype: str) -> list[dict[str, Any]]:
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"""

app/services/recommendation/creators.py

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# Final filter (remove watched by IMDB ID)
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final = filter_watched_by_imdb(enriched, watched_imdb)
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return final[:limit]
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return final
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async def _fetch_discover_page(
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self, mtype: str, discover_params: dict[str, Any], creator_id: int, creator_type: str

app/services/recommendation/item_based.py

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# Final filter (remove watched by IMDB ID)
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final = filter_watched_by_imdb(enriched, watched_imdb or set())
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return final[:limit]
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return final
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async def _fetch_candidates(self, tmdb_id: int, mtype: str) -> list[dict[str, Any]]:
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"""

app/services/recommendation/top_picks.py

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# 10. Final filter (remove watched by IMDB ID)
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filtered = filter_watched_by_imdb(final, watched_imdb)
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return filtered[:limit]
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return filtered
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async def _fetch_recommendations_from_top_items(
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self, library_items: dict[str, list[dict[str, Any]]], content_type: str, mtype: str
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app/static/screenshots/theme.png

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