The AI capability 'In app search' leverages advanced technologies to deliver accurate and relevant search results for hobby groups. Here's how it works:
Use case 1
Semantic search - The 'In app search' feature utilizes semantic search algorithms to understand the context and meaning behind the search queries. This ensures that hobby group members receive highly relevant results that match their intent, even if they use different phrasing or terminology.
Use case 2
Natural language processing - Hobby group members can ask questions in natural language, just like they would in a conversation. The AI-powered search engine analyzes the query and retrieves the most suitable answers from the available data within the platform. This makes it easy for members to find the information they need without having to use specific keywords or search operators.
Use case 3
Machine learning-based ranking - The 'In app search' capability continuously learns from user interactions and feedback to improve the ranking of search results over time. This means that the more hobby group members use the search feature, the better it becomes at delivering accurate and helpful responses.
