Glance builds Gemini-powered Knowledge Graph with Google Cloud

In today’s hyperconnected world, delivering personalized content at scale requires more than just aggregating information – it demands deep understanding of context, relationships, and user preferences. Glance, a leading content discovery platform that delivers personalized, real-time content experiences on mobile lock screens across the globe, serves over 300 million users worldwide across 450 million devices. Beyond news aggregation, Glance curates diverse content including entertainment, sports, gaming, shopping, and lifestyle content, making every glance at the phone screen meaningful and engaging.

However, with the exponential growth of digital content, particularly the overwhelming volume of daily news articles, Glance faced a critical challenge: how to effectively navigate this information while maintaining the personalized, contextual experiences users expect. The existing search and content discovery capabilities needed significant enhancement to uncover emerging trends, improve search relevance, provide deeper context, and most importantly, deliver truly personalized content recommendations that resonate with individual user preferences and behaviors.

Glance partnered with Google Cloud Consulting team to build a sophisticated Content Knowledge Graph (CKG) that addresses these challenges head-on. This solution leverages Google Cloud’s advanced AI and data processing capabilities, including Gemini models, BigQuery, Vertex AI, and Google Cloud partner Neo4j, to ingest, process, extract, standardize, classify, and structure news data into a dynamic network of interconnected entities and relationships. The Content Knowledge Graph has dramatically improved search relevance, enhanced personalized content discovery, provided deeper contextual insights, increased user engagement, and improved scalability and efficiency.