Datasets Comparison

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

Since the artifact is a Docker image, any operating system that supports Docker will be able to reproduce the experiment. To reproduce our results, just follow the instructions below: (1) Download the poi-rss.tar.gz file. (2) Download and install Docker 20.10.7 or higher (possibly it also works with previous versions) (3) Load the image In the shell for example: $ docker load < poi-rss.tar.gz (4) Run and attach to the container In the shell for example: $ docker run -itd --name poi-rss poi-rss bash $ docker exec -it poi-rss bash (5) Run all experiments using the python scripts $ ./poi-rss-benchmark/run_all && ./poi-rss-map/run_all For more information, see article [1] mentioned above.

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Recommendation System

Creative Commons Attribution 4.0 International

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

Since the artifact is a Docker image, any operating system that supports Docker will be able to reproduce the experiment. To reproduce our results, just follow the instructions below: (1) Download the poi-rss.tar.gz file. (2) Download and install Docker 20.10.7 or higher (possibly it also works with previous versions) (3) Load the image In the shell for example: $ docker load < poi-rss.tar.gz (4) Run and attach to the container In the shell for example: $ docker run -itd --name poi-rss poi-rss bash $ docker exec -it poi-rss bash (5) Run all experiments using the python scripts $ ./poi-rss-benchmark/run_all && ./poi-rss-map/run_all For more information, see article [1] mentioned above.

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Recommendation System

Creative Commons Attribution 4.0 International