https://github.com/science-engineering-art/sherlock
https://github.com/science-engineering-art/sherlock
boolean-search cord19 cranfield fastapi fuzzy-search information-retrieval kmeans-clustering python react rocchio-algorithm search-engine tf-idf vaswani vectorial-model
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/science-engineering-art/sherlock
- Owner: science-engineering-art
- License: mit
- Created: 2022-11-01T10:50:58.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-12-22T09:38:42.000Z (over 2 years ago)
- Last Synced: 2023-12-09T22:28:07.671Z (over 1 year ago)
- Topics: boolean-search, cord19, cranfield, fastapi, fuzzy-search, information-retrieval, kmeans-clustering, python, react, rocchio-algorithm, search-engine, tf-idf, vaswani, vectorial-model
- Language: Python
- Homepage:
- Size: 8.39 MB
- Stars: 3
- Watchers: 0
- Forks: 2
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Informational Retrieval Systems
[](https://opensource.org/licenses/MIT) [](https://github.com/science-engineering-art/sherlock/commits) [](https://github.com/science-engineering-art/sherlock/commits) [](https://github.com/science-engineering-art/sherlock) [](https://github.com/science-engineering-art/sherlock) [](https://github.com/science-engineering-art/sherlock) [](https://github.com/science-engineering-art/sherlock/graphs/contributors)
Sherlock is a search engine developed by computer science students for purely academic purposes. Any kind of contribution to the project is welcome.
## Installation
```shell
make install
```## Execution
From the root directory run in a terminal,
```shell
make python
```and run this in another terminal.
```shell
make react
```## Docker
You may not want to conflict with packages installed on your local computer, you can more easily build the docker image and run it with a container.
From the root directory runs from a terminal to lift the service,
```shell
make run-docker
```and to close the service.
```shell
make stop-docker
```Finally, enter the browser at the following web address [localhost:3000](http://localhost:3000).