AudibleAmazon's audiobook service continues to experiment with AI to enhance audiobook discovery and supply personalized recommendations. Recent tests include AI-powered tags that analyze customer feedback to make tailored suggestions based on individual preferences, and topic pages that recommend tags to provide help to find closely related topics.
The experiments are only available to 50% of U.S. users with iOS and Android devices, an organization spokesperson told TechCrunch.
Using a brand new “tags” carousel within the app, Audible's AI analyzes customer reviews and briefly explains why other listeners liked a selected audiobook. For example, tags like “heartwarming romance” or “sensitive plot” can appear at first of a title, helping you get to the purpose quickly without having to read quite a few reviews. Amazon uses similar generative AI technology for its e-commerce platform, including a tool that summarizes common product reviews and provides a brief snippet at the highest of the page.
In addition to tags, the platform is experimenting with AI-driven topic pages that may provide help to discover relevant audiobooks you would possibly not have otherwise come across.
Audible uses AI for several of its features, including its AI-powered search engine Maven, in addition to AI-curated audiobook collections and AI-generated review summaries.
Recently, Audible began training select narrators with AI to make use of their voices for audiobook recordings. The platform is now following within the footsteps of its competitors, including Apple, which introduced AI-powered audio narration for select Apple Books last yr.
