IMDB-Recommender-System
A robust recommendation engine using the MovieLens dataset.
Details
- External ID
- 1382129844
- Source
- GITHUB
- Company
- —
- Product
- IMDB-Recommender-System
- Website domain
- github.com
- Launched
- Sept. 22, 2026
- Cohort
- —
- Upvotes
- 22
- Upvotes percentile
- 0.6369459390212657
- Tags
- —
- Fetched at
- Sept. 26, 2026, 10:54 p.m.
- Updated at
- Sept. 26, 2026, 10:54 p.m.
Enrichment
- Theme
- web development and browser utilities
- Vertical
- Media & entertainment
- Function
- Search & retrieval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- recommendation engine for movielens movie data
- Manually corrected
- False
Could you build this?
Yes A standard collaborative filtering or matrix factorization recommender system on the open MovieLens dataset using Scikit-learn, Surprise, or PyTorch is a textbook project AI can write immediately.
Competitors
Other products that read as similar to this one — 300 launches clear the similarity bar, closest 8 shown.
Attention rank: #102 of 301 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 326 days after the earliest competitor.
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- Criterion Closet as a website · hn · 2026-06-20 · 194 upvotes · similarity 0.47
- Criterion Closet as a website · hn · 2026-06-17 · 9 upvotes · similarity 0.47
- real-time-recommendation-analytics · github · 2026-09-28 · 96 upvotes · similarity 0.47
- multimodal-product-discovery · github · 2026-09-26 · 134 upvotes · similarity 0.46
- jev-reranker · github · 2026-09-19 · 16 upvotes · similarity 0.46
- A search engine for deleted YouTube videos (1.5B+ indexed since 2005) · hn · 2026-05-09 · 14 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.