RecSys.Scifi: Recommender Systems Datasets in Scientific Fields

Tutorial at the ACM Conference on Knowledge Discovery and Data Mining (KDD) Aug 14-18, 2021

Schedule: Aug. 15, 2021 4:00 AM - 7:00 AM (Singapore Time)

Table of Contents

• 0. Prerequirements
• 1. Download the repository
• 2. Preparation
• 3. Open the tutorial
• 4. Close and Shutdown Jupyter Notebook
• 5. Remove the created virtual environment

0. Prerequirements

• OS: Ubuntu 18.04 LTS or higher, OS X

• Python 3.8

• Browser (Firefox, Safari or Google Chrome)

1. Download the repository

a) With git clone:

git clone https://github.com/lasigeBioTM/RecSys.Scifi.tutorial.git

cd RecSys.Scifi.tutorial/

or

git clone [email protected]:lasigeBioTM/RecSys.Scifi.tutorial.git

cd RecSys.Scifi.tutorial/

b) By retrieving directly the repository zip file

wget https://github.com/lasigeBioTM/RecSys.Scifi.tutorial/archive/refs/heads/main.zip

unzip main.zip

cd RecSys.Scifi.tutorial-main/

2. Preparation

a) If Anaconda or Miniconda is installed:

• Create virtual environment

conda create --name recsys_scifi python=3.8

• Activate the created virtual environment:

conda activate recsys_scifi

• Install dependencies:

python3.8 -m pip install -r requirements.txt

• Add the virtual environment to Jupyter:

ipython kernel install --user --name=recsys_scifi

b) With venv module:

• Install venv package and create virtual environment:

sudo apt install python3.8-venv

python3.8 -m venv recsys_scifi

• Activate the created virtual environment:

source recsys_scifi/bin/activate 

• Install dependencies:

python3.8 -m pip install -r requirements.txt

• Add the virtual environment to Jupyter:

ipython kernel install --user --name=recsys_scifi

3. Open the tutorial

• To start the Notebook Server run the following command:

jupyter notebook

Which will open http://localhost:8888/notebooks/ in the default browser.

• Open the file 'tutorial.ipynb'.

• Click on 'Kernel' > 'Change kernel' > 'recsys_scifi' to ensure the tutorial is running on the created virtual environment.

4. Close and Shutdown Jupyter Notebook

a) Shutdown Jupyter Notebook Files from the dashboard

• In the Kernel Sessions tab, click on 'SHUTDOWN' for the appropriate notebook to terminate the session for that notebook.

or

• In the File Browser tab and selecting 'Kernel' > 'Shutdown Kernel'.

b) Shutdown the Jupyter Notebook Local Server

You can also close your terminal by typing the command exit and hitting Enter.

5. Remove the created virtual environment

a) Anaconda or Miniconda

• Deactivate the created virtual environment:

conda deactivate

• Remove the virtual environment and all packages:

conda env remove --name recsys_scifi

b) venv

• Deactivate the created virtual environment:

deactivate

• Remove the virtual environment and all packages:

rm -r recsys_scifi

jupyter kernelspec uninstall recsys_scifi