8000 users' browsing and engagement data supports prediction of purchase decisions. The dataset is hosted on Kaggle, though its original author and creation date are not specified.
Use Cases
- Predict purchase decisions from user browsing behavior features.
- Model customer engagement patterns using session interaction data.
- Classify users based on their e-commerce activity metrics.
Strengths
- Dataset contains behavioral data for 8000 distinct users.
Limitations
- Unknown row count and feature set limits model assessment.
- Geographic and temporal coverage of the data is unspecified, risking bias.
Provenance
- Source
- Kaggle
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null