Back to datasets
Dataset assetOpen Source CommunityData AnalysisLocation Recommendation
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.
Source
github
Created
Apr 23, 2018
Updated
Apr 7, 2023
Signals
324 views
Availability
Linked source ready
Overview
Dataset description and usage context
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} }
Need downstream help?
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.