Abstract
Location-Based Services (LBS) have been prosperous owing to technological advancements of smart devices. Analyzing location-based user-generated data is a helpful way to understand human mobility patterns, further fueling applications such as recommender systems and urban computing. This dataset documents user activities of location-based services through LBSLab, a smartphone-based system implemented as a mini-program in the WeChat app. The dataset contains activity data of multiple types including logins, profile viewing, weather checking, and check-ins with location information (latitude and longitude), POI and mood indicated, collected from 467 users over a period of 11 days. We also present some temporal and spatial data analysis and believe the reuse of the data will allow researchers to better understand user behaviors of LBSs, human mobility, and also temporal and spatial characteristics of people's moods.
| Original language | English |
|---|---|
| Article number | 108898 |
| Number of pages | 9 |
| Journal | Data in Brief |
| Volume | 46 |
| Early online date | 13 Jan 2023 |
| Publication status | Published - Feb 2023 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Mobility data
- location-based services
- user check-in
- mood
- weather
