News Recommendation Data with User Location and Engagement Signals

A dataset for news optimization containing user behavior, location signals, and engagement metrics. The dataset was sourced from Kaggle, but the author, organization, and specific collection details are unknown. The last update date and temporal coverage are also unspecified.

Use Cases

• Train location-aware news recommendation models based on user location signals.
• Optimize content delivery and user engagement based on behavioral data.
• Analyze patterns in user interaction with news content for personalization.

Strengths

• Focuses on multiple recommendation-relevant signals: user behavior, location, and engagement.
• Dataset is hosted on Kaggle, a platform with established data sharing infrastructure.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle