# inboxpraveen/Movie-Recommendation-System

<https://repo.masters-masters.com/en/repos/inboxpraveen/Movie-Recommendation-System>

[Home](https://repo.masters-masters.com/en) › [inboxpraveen](https://repo.masters-masters.com/en/owners/inboxpraveen) › [Movie-Recommendation-System](https://repo.masters-masters.com/en/repos/inboxpraveen/Movie-Recommendation-System)

inboxpraveen/Movie-Recommendation-System has 247 stars on GitHub. Its RepoMasters card: Prototype tier. Content-based movie recommender: a training pipeline…

| Field | Value |
| --- | --- |
| Owner | [inboxpraveen](https://repo.masters-masters.com/en/owners/inboxpraveen) |
| Stars | 247 |
| Forks | 103 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | recommender-system, recommendation-system, movie-recommendation, tmdb, django, python, content-based-filtering, cosine-similarity, docker, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [inboxpraveen/Movie-Recommendation-System](https://github.com/inboxpraveen/Movie-Recommendation-System) |

## Repository

Content-based movie recommender: a training pipeline (TF-IDF, SVD, top-K cosine neighbours) and a Django app with search, autocomplete and a JSON API. Small models, about 1 ms lookups, ships with a demo model.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
