Downloads · 30 days
0
shijiabraham/moviemitra-recommender
moviemitra-recommender is a machine learning model from shijiabraham. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Suggests films similar to one you already liked, from a 96 film catalogue.
Downloads · 30 days
0
Access
Public
Updated Aug 5, 2026
Repo size
89.1 KB
Likes
0
Public
Click a slice to open those files.
.joblib89.1 KB · 96%
From the Hugging Face model README
Suggests films similar to one you already liked, from a 96 film catalogue.
Each film becomes a bag of words from its genres, tags, director and language. TF-IDF turns those into numbers and cosine similarity compares them.
from huggingface_hub import hf_hub_download
import joblib
path = hf_hub_download("YOUR_USERNAME/moviemitra-recommender", "recommender.joblib")
model = joblib.load(path)
model.similar_to("Kaala Paani")
recommender.py must be in your folder for the load to work.
96 films and 1,348 ratings from 80 viewers. Made up data, built for teaching.
It only reads labels, never the film itself. Two films with the same genre, director and tags score 1.000 and it can't tell them apart. It also can't suggest anything outside these 96 films.