Reproducible framework of Point-of-Interest recommendation systems on Docker

This dataset provides all data and code required to reproduce the results achieved in the article "WERNECK, H. et al. Points of Interest recommendations: Methods, evaluation, and future directions. Information Systems".

This dataset contains a Docker image (poi-rss.tar.gz) which allows the reproduction of [2]. The benchmark has several databases extracted from Yelp Dataset Challenge, evaluation metrics and recommendation systems. It also has the data extracted from a systematic literature review and distinct ways to visualize the data.

The datasets used in the benchmark (benchmark-datasets.zip) and its raw and processed output files (benchmark-results.zip), in turn, are provided separately.

The code is all under Creative Commons Attribution 4.0 International License and the benchmark datasets (benchmark-datasets.zip) are under Yelp terms of use, as described detailed in the PDF (Dataset_Challenge_Dataset_Agreement.pdf).

Detailed instructions for this dataset are described in the article [1], which is under review for the time being.

References:
[1] Heitor Werneck, Nícollas Silva, Matheus Carvalho, Adriano C M Pereira, Fernando Mourão, and Leonardo Rocha. A Reproducible POI Recommendation Framework: Works Mapping and Benchmark Evaluation. 15.
[2] Heitor Werneck, Nícollas Silva, Matheus Viana, Adriano C.M. Pereira, Fernando Mourão, and Leonardo Rocha. 2021. Points of Interest recommendations: Methods, evaluation, and future directions. Information Systems 101, (2021), 101789. DOI:https://doi.org/10/gmmq79