Fire TV has introduced an AI-powered search system that allows users to find entertainment content using natural language. This system aims to simplify the search for movies and TV shows by understanding complex queries, such as searching by topic, genre, actor name, or specific quotes.
Initially, Fire TV’s search capabilities relied on keyword matching, requiring users to know exact titles, actor names, or genres. However, advancements have enabled a more conversational search experience. This new system utilizes a semantic search engine that interprets the intent behind queries, providing more accurate results based on context.
A team of engineers and product experts focused on three main projects to improve the search system: developing a search system beyond keyword matching, leveraging Alexa’s extensive knowledge base, and employing a machine learning model to enhance the relevance of search results.
The integration of IMDb data has further refined the search capabilities, allowing Fire TV to access detailed information about actors, plot points, trivia, and characters. This integration helps Fire TV understand and respond accurately to various types of queries, such as movie plot points or trivia questions.
Fire TV’s ranking model determines the most relevant search results by analyzing the query and selecting the appropriate information system. Over time, this model improves with usage, enhancing the overall search experience.
For more information, visit Amazon’s website here.
