- Adithya Krishna
- Devendra Chilwal
- Htet Naing Aung
- Python version: '2.7'
- Install the required libraries
Execute recommendation.py
The TimeAwareMF.py
lib is implemented in Python 2
. Therefore you should run the model with Python 2
.
- To change the dataset, you have to write its name in the
recommendation.py
.
For implemenation we got some information and inspiration of the codes that provided by the following paper:
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani. "Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation," 42nd European Conference on Information Retrieva (ECIR), Lisbon, Portugal, 2019.