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...@@ -29,10 +29,10 @@ pip install tabulate ...@@ -29,10 +29,10 @@ pip install tabulate
1. ***Feature Extraction Methods*** 1. ***Feature Extraction Methods***
The system supports the following feature extraction methods: The system supports the following feature extraction methods:
- genre: Extracts genres of the movies using TF-IDF vectorization. - `genre`: Extracts genres of the movies using TF-IDF vectorization.
- movie_year: Extracts the release year of the movies. - `movie_year`: Extracts the release year of the movies.
- avg_rating: Computes the average rating for each movie. - `avg_rating`: Computes the average rating for each movie.
- title_length: Computes the length of the movie title. - `title_length`: Computes the length of the movie title.
2. ***Regression Models*** 2. ***Regression Models***
The system supports the following regression models for predicting user ratings: The system supports the following regression models for predicting user ratings:
...@@ -53,20 +53,3 @@ Organized under the data/test/ directory, which contains three subdirectories: ...@@ -53,20 +53,3 @@ Organized under the data/test/ directory, which contains three subdirectories:
- evaluations: Directory reserved for evaluation results - evaluations: Directory reserved for evaluation results
## Architecture
.
├── data/
│ ├── test/
│ │ ├── content/
│ │ │ ├── movies.csv
│ │ │ └── tags.csv
│ │ ├── evidence/
│ │ │ └── ratings.csv
│ │ └── evaluations/
├── loaders.py
├── models.py
├── constants.py
├── configs.py
├── content_based.ipynb
└── README.md
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