searchcontroller

The content from the WWDC sessions you provided focuses on implementing search functionality in apps using Core Spotlight and migrating TVML apps to SwiftUI with a focus on search features.

Key Points on Search Functionality:

1. Core Spotlight and Semantic Search:

   • Core Spotlight now supports semantic search, allowing users to search for content in a more natural way without needing exact matches. This is achieved through query understanding models.
   • Developers can configure queries to return ranked results using machine learning models, and they can also enable or disable suggestions.
   • Searchable content should be indexed properly, using system-defined attributes and ensuring the correct content type is set for text, images, or video assets.
   • Engagement and freshness signals can be used to improve the ranking of search results over time.

2. Migrating TVML Apps to SwiftUI:

   • A search interface is essential for content delivery services. In SwiftUI, a search view can be presented using a binding to a search term state property.
   • The search interface can be enhanced with search suggestions, which are generated from a list of keywords matching the current search term.
   • A grid layout is recommended for displaying search results, especially when dealing with a large amount of content.

Relevant Sessions:

• Support semantic search with Core Spotlight (Results and suggestions)
• Migrate your TVML app to SwiftUI (Search)

These sessions provide detailed guidance on implementing and enhancing search functionality in apps, leveraging the latest features and best practices introduced at WWDC.