Recko

recko.me

Calculates distance between articles and recommend new articles to read

• Teach some article url's to recko
• Calculates the distance between teached articles according to keywords extracted
• Then get closest neighbors of given articles
• brings recommendations according to user's liked articles

Example

Setup

• copy the config.py.copy as config.py
• change inside according to your config details
• run app.py for flask web server
• run teacher.py for teaching articles
• run calculate.py for distance calculating worker

Usage

• For teaching urls GET /teach?url=<path-to-url>

• For getting one of the closest neighbors of given url GET /neighbor?url=<url-id>

• Authenticate a new client POST /authenticate {} returns {token: <access token>}

• Get a suggestion GET /next?token=<access_token> returns a response according to your likes

• Like an article POST /like?token=<access_token> {url: <article_id>}

Needs

• numpy
• scipy
• mongodb
• redis
• embedly account for extracting kw's

Contributors

• Tuna Vargi
• Bugra Uluyurt