This repository contains the PySpark code for building a search engine for movie plot summaries using the tf-idf technique. The backend of the search engine is implemented using Flask, which exposes an API. This API accepts user queries and returns a list of possible movies based on the search query.
The goal is to create a search engine that allows users to search for movies based on their plot summaries. The system utilizes the tf-idf technique to identify relevant movie summaries based on the user's search query.
- Download the corpus from http://www.cs.cmu.edu/~ark/personas/data/MovieSummaries.tar.gz.
- Extract and add the plot_summaries.txt and movie.metadata.tsv file to the corpus folder to the repo.
docker build -t search_engine .
docker run --rm -p 3000:5000 -it search_engine
- Go to
http://0.0.0.0:3000/and enter your search query
This project is licensed under the MIT License.