YouTube Video link: https://youtu.be/8FrgVjpE0us
Based on the paper: H. Feng and X. Qian, “Recommendation via user’s personality and social contextual,” in Proc. 22nd ACM CIKM, New York, NY, USA, 2013
Team members:
Aniket Bonde
Nagaraj Janakiraman
Sudheer Dantuluri
Datasets:
Yelp Processed Dataset- SMILES Lab
Yelp Academic Challenge Dataset
Code structure
The latest changes are mantained on the master branch
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All the codes are present in the notebook "project.ipynb" in the Master folder
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The processed datasets, initial conditions for the gradient descent, standalone codes are present in the "one_category_dataset" folder.
Note: Please clone the entire Master directory to retain the strucutre of the code and avoid any dependencies.
Setting up environment
You will need to install the following packages on you python environment
- Pandas
- RE
- Numpy
- Sklearn
- Warnings
- Time
- Scipy
- Itertools
- Sys
- Pickle
Running the Program
Our complete program is ported to the Notebook Project.ipynb and a detailed flow with explanations is provided. Please clone the repository so that the strucutre is preserved.
**Note: ** Some equations(written in Latex) in the Notebook are not processed by the browser. So, please clone the repository to see a full view. I apologize for the inconvenience!