MovieHunter
This is a movie website using Django as backend framework and SQLite as database.
For the current version, the following features are implemented,
- Search Engine including inverted index and LRU cache
- User Management
- Login via Facebook (OAuth with Facebook API)
- Recommender according to user's taste
This website is deployed at http://movie.hbao.blog.
Index of Contents
Data and Database
5000+ movie_ids from this movie dataset are the origin data source. With these movie_ids, I utilized a python lib called imdbpie to collect other columns of data.
Currently, there are about 3000 movies in the database.
To make it easy to deploy, SQLite is chosen as database. The database file is movie.db in the root directory.
Search Engine and Cache
- Search Index: Built an inverted index structure with wildcard to enable vague search.
- Rank: Movie search results are sorted by rating, while actor search results are sorted by the number of movies acted.
- Cache: Implemented a LRU Cache to record search result to make search suggestion faster.
Recommender
An item-based recommender is implemented.
According to movies in user's movie list, movies with same genres will be recommended for each user. If user's movie list is empty or the number of movies to recommend is not sufficient, movies with highest ratings will be recommended instead.
The final recommendation is randomly chosen from a set of candidate movies, so the result will be slightly different each time.
Deployment Instructions
- Install Python 3 in your computer, and make sure to set environment variable correctly.
- Install Django for the Python environment. The easiest way is to use pip by running
pip install django. - Open a terminal, input command:
python manage.py runserver 8080 - Open your web browser, input
localhost:8080in the address bar.
- P.S. If you fail running
python manage.py runserver 8080, try another port numbers, like 8081 or 8000.