recommender_system_research_papers_or_scholarly_articles_doc2vec

Recommender system for Scholarly Articles Dataset available at https://www.kaggle.com/neelshah18/arxivdataset and text file for topics explanation is copied from https://arxiv.org/archive/cs

• Source notebook available at https://www.kaggle.com/deviantpadam/scholarly-articles-recommender-system-doc2vec

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Site is live on http://deviantpadam.pythonanywhere.com/

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Instructions to run the flask app -

1. Install git
2. Open cmd/terminal
3. Clone this repository using git clone https://github.com/DeviantPadam/rec_system.git or download the zip file.
4. Install required dependencies from requirement.txt using pip install package_name or conda install -c
5. Open cmd/terminal and set current directory to repository directory using cd repository_path
6. Execute export FLASK_APP=recommender.py(linux) or set FLASK_APP=recommender.py (windows)
7. Then execute flask run
8. Click on the development link to see the flask app