Scientific Paper Recommendation System

CS 411 Final Project Version 1.1.0

Project Report

Repository description

1. Neo4JQueries: Class for the Neo4J queries and Neo4J driver.
2. SQLQueries: Class for the SQL queries and SQL driver.
3. TopicModel: Library for pre-processing and extracting relevant topics from text. Can also be used to train topic model new corpus.
4. app: Flask application with templates and views.
5. scripts: Scripts used to load data into the databases and perform other miscellaneous tasks.
6. config.py: Configuration file used by the server to access the database of your choice. If you want to use a SQL database use:

   DB_TYPE="sql"
   AUTH_FILE="config.yml"

   If you want to use Neo4J database use:

   DB_TYPE="neo"
   AUTH_FILE="config_neo.yml"

7. requirements.txt: Required python libraries for running the server
8. run.py: Script to run the server. However we suggest another way to run it, See Below.

How To Run

1. You first need to have a config.yml or config_nep.yml if you want to use a SQL/ Neo4J database respectively. The files must have the following format:

    user:
    password:
    host:
    database:

2. Make sure you have the model files for using the Gensim topic model. They should be present in the folder and provided to the TopicExtractor class in views.py

3. Run the command flask run -host=0.0.0.0 in the repository to start the server.