Media — Knowledge Graph Construction for Content Recommendation

Overview

The purpose of this DAG is to create knowledge graphs that improve content recommendations by leveraging metadata and user behavior analytics. The data sources include content management systems (CMS) and user interaction analytics, which provide rich contextual information for graph construction. The ingestion pipeline begins with data extraction from these sources, followed by transformation processes that clean, normalize, and enrich the data to ensure high-quality outputs. Quality control me

The purpose of this DAG is to create knowledge graphs that improve content recommendations by leveraging metadata and user behavior analytics. The data sources include content management systems (CMS) and user interaction analytics, which provide rich contextual information for graph construction. The ingestion pipeline begins with data extraction from these sources, followed by transformation processes that clean, normalize, and enrich the data to ensure high-quality outputs. Quality control measures are implemented at various stages to maintain the integrity and consistency of the knowledge graphs, ensuring they accurately reflect the underlying content relationships. The final output consists of enriched knowledge graphs that are made available to recommendation systems, facilitating more personalized user experiences. Key performance indicators (KPIs) such as recommendation accuracy, user engagement rates, and content consumption metrics are monitored to assess the effectiveness of the recommendations. This DAG ultimately adds significant business value by enhancing user satisfaction and retention through tailored content delivery.

Part of the SOPs & Playbooks solution for the Media industry.

Use cases

• Enhances user engagement through personalized content suggestions
• Increases content consumption rates with targeted recommendations
• Improves user satisfaction and retention metrics
• Facilitates data-driven decision-making for content strategy
• Streamlines content discovery for end-users