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foursquare-dataset

This dataset was collected for the TREC 2016 Contextual Suggestion Track and contains 228,778 points of interest such as parks, restaurants, and museums. Stored in JSON format, the data were gathered between January 30, 2017 and February 22, 2017. It is intended for research use only and must be cited according to the associated papers.

Updated 4/7/2023
github

Description

Dataset Overview

Dataset Name

  • Name: foursquare-dataset
  • Purpose: Used for contextual suggestion research

Dataset Details

  • Contents: 229,747 points of interest, including parks, restaurants, museums, etc.
  • Update History:
    • 2018‑07‑23: Added 969 new points of interest
  • Format: JSON
  • Collection Period: 2017‑01‑30 to 2017‑02‑22, with additional entries on 2018‑07‑23
  • Geographic Coverage: Points of interest across various U.S. cities
  • Usage Restrictions: Research‑only

Dataset Structure

  • JSON Object Fields:
    • POI ID
    • Original URL
    • Title
    • City ID
    • City Name
    • State
    • City Latitude
    • City Longitude
    • "foursquare" object containing:
      • Timestamp
      • Title
      • Foursquare URL
      • Rating
      • Rating Count
      • Review Count
      • Photo Count
      • Category
      • Opening Hours
      • Venue URL
      • Address
      • Description
      • Additional Location Info
      • Features
      • Menu
      • Drinks
      • Tag Cloud Array
      • User Reviews

Citation Information

  • Paper Citation:

    @inproceedings{bayomi2016adapt_tcd, title={ADAPT_TCD: An Ontology‑Based Context Aware Approach for Contextual Suggestion.}, author={Bayomi, Mostafa and Lawless, S{e}amus}, booktitle={TREC}, year={2016} }

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Topics

Location Recommendation
Data Analysis

Source

Organization: github

Created: 4/23/2018

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