Data for: A Location-Based Orientation-Aware Recommender System Using IoT Smart Devices and Social Networks

Published: 27 Feb 2020 | Version 1 | DOI: 10.17632/v5fp7n39hg.1

Description of this data

In this study, 20 recommendation lists are provided for each of 7,214 user's locations in total. Four different buffer sizes (two, five, ten, and 15 km) and four UPDs are considered for each user's location to prepare the event recommendation lists. In the implemented scenario, three different scenarios were applied in order to support research claims. The word "SC" refers to a specific scenario as "SC_1" refers to the first scenario. Totally, considering four circle buffers and four UPDs in each buffer, 16 buffer lines will be prepared as "sc_1_line_1" refers to the first UPD in the buffer size of two kilometers. In addition, "sc_1_cycle" refers to all the event venues that are located in the circle buffer size of two kilometers. "EventVenues" and "venuesMBBs" contain geospatial information for the selected venues and also their extracted minimum bounding boxes.
All the imported building located in the city of Calgary, Alberta is in the "calgaryBuilding" table, and "userLocations" shows the spatial information considered for the 7,214 user's locations.

Experiment data files

This data is associated with the following publication:

A location-based orientation-aware recommender system using IoT smart devices and Social Networks

Published in: Future Generation Computer Systems

Latest version

  • Version 1


    Published: 2020-02-27

    DOI: 10.17632/v5fp7n39hg.1

    Cite this dataset

    Ojagh, Soroush; Malek, Mohammad Reza; Liang, Steve; Saeedi, Sara (2020), “Data for: A Location-Based Orientation-Aware Recommender System Using IoT Smart Devices and Social Networks ”, Mendeley Data, v1


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Geographic Information Systems


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