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GitHub / devidutta-learn / movie-recommender-system
This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 1.94 MB
Dependencies:
44
Created: 5 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 5 months ago
Topics: content-based-filtering, cosine-similarity, machinelearning-python, movie-recommendation-system, tmdb-data
Files
Dependencies
- GitPython ==3.1.41
- Jinja2 ==3.1.3
- MarkupSafe ==2.1.4
- Pygments ==2.17.2
- altair ==5.2.0
- attrs ==23.2.0
- blinker ==1.7.0
- cachetools ==5.3.2
- certifi ==2023.11.17
- charset-normalizer ==3.3.2
- click ==8.1.7
- gitdb ==4.0.11
- idna ==3.6
- importlib-metadata ==7.0.1
- jsonschema ==4.21.1
- jsonschema-specifications ==2023.12.1
- markdown-it-py ==3.0.0
- mdurl ==0.1.2
- numpy ==1.26.3
- packaging ==23.2
- pandas ==2.2.0
- pillow ==10.2.0
- protobuf ==4.25.2
- pyarrow ==15.0.0
- pydeck ==0.8.1b0
- python-dateutil ==2.8.2
- pytz ==2023.3.post1
- referencing ==0.32.1
- requests ==2.31.0
- rich ==13.7.0
- rpds-py ==0.17.1
- six ==1.16.0
- smmap ==5.0.1
- streamlit ==1.30.0
- tenacity ==8.2.3
- toml ==0.10.2
- toolz ==0.12.0
- tornado ==6.4
- typing_extensions ==4.9.0
- tzdata ==2023.4
- tzlocal ==5.2
- urllib3 ==2.1.0
- validators ==0.22.0
- zipp ==3.17.0