18626528. QUERY RESPONSE USING MEDIA CONSUMPTION HISTORY simplified abstract (GOOGLE LLC)
Contents
QUERY RESPONSE USING MEDIA CONSUMPTION HISTORY
Organization Name
Inventor(s)
Matthew Sharifi of Kilchberg (CH)
QUERY RESPONSE USING MEDIA CONSUMPTION HISTORY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18626528 titled 'QUERY RESPONSE USING MEDIA CONSUMPTION HISTORY
The patent application describes methods, systems, and apparatus for receiving a natural language query from a user, along with environmental data, to identify a media item based on the environmental data. It then determines an entity type based on the query, selects an entity associated with the media item that matches the entity type, and selects one or more media items from a database that have been consumed by the user and are associated with the selected entity to provide a response to the query.
- Receiving natural language queries and environmental data from users
- Identifying media items based on environmental data
- Determining entity types based on natural language queries
- Selecting entities associated with media items that match entity types
- Selecting consumed media items associated with selected entities from a database
- Providing responses to queries based on selected consumed media items
Potential Applications: - Personalized content recommendations - Enhanced user experiences in media consumption platforms - Improved search functionality based on user preferences
Problems Solved: - Matching user queries with relevant media items - Providing personalized recommendations based on user consumption history
Benefits: - Increased user engagement - Enhanced user satisfaction - Improved content discovery
Commercial Applications: Title: Personalized Media Content Recommendation System This technology can be utilized in streaming services, online platforms, and digital media libraries to enhance user engagement and satisfaction by providing personalized content recommendations based on user preferences and consumption history.
Questions about the technology: 1. How does this technology improve user experience in media consumption platforms? 2. What are the key advantages of using natural language queries and environmental data in identifying relevant media items for users?
Original Abstract Submitted
Methods, systems, and apparatus for receiving a natural language query of a user, and environmental data, identifying a media item based on the environmental data, determining an entity type based on the natural language query, selecting an entity associated with the media item that matches the entity type, selecting, from a media consumption database that identifies media items that have been indicated as consumed by the user, one or more media items that have been indicated as consumed by the user and that are associated with the selected entity, and providing a response to the query based on selecting the one or more media items that have been indicated as consumed by the user and that are associated with the selected entity.
