Ever wondered, why does traditional search fall short in enterprises? Here’s why:
- Irrelevant results – 74% of users get frustrated when the search doesn’t understand the intent.
- Poor personalization – Generic recommendations instead of insights tailored to user needs.
- Disconnected information – Data exists but isn’t linked, making retrieval inefficient.
- Increased support costs – Agents spend 30% of their time searching for the right information.
Due to all the above reasons enterprises need a ‘secret to smarter search’. The answer lies in leveraging knowledge graphs for enterprises. Let’s find out how knowledge graphs supercharge natural language search.
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Leveraging Knowledge Graphs for Personalized Search Experiences
Knowledge graphs enhance search relevance by mapping user interactions, uncovering content relationships, and delivering context-aware results.
By leveraging this capability in user journey analysis, SearchUnify’s enterprise search solution takes personalization to the next level. It builds a Nodes graph to track user interactions with article titles and a Weights graph to analyze click patterns, ensuring that the most relevant content surfaces seamlessly.
Ready to experience AI-driven, personalized search? Request a demo today!
