A recipe discovery application implementing range of recommendation systems for graph databases. Refer to the report for more information.
- Install the required libraries by running
pip install -r requirements.txt - Start the application by running
python project/main.py- If there are issues with NLTK, see section 4: Instructions for use in the report detailed instructions
- Press "Click Here To Begin" on the starting screen (seen above)
- Select a recommendation system, number of recommendations and sentiment
- Then, choose your preferred recipe and confirm your choice
- The recommended recipes will be displayed from most recommended to least
| Option Selection | Recommended Recipes |
|---|---|
 |
 |
For more information on running specific recommendation systems, such as Simrank, Simrank++ and Pagerank, see section 3: Computational Overview in the report.