STX Next Delivers Smarter Search and Discovery for Audio Entertainment Platform Podimo
A team of developers transformed Podimo’s search and discovery experience with machine learning (ML)
A team of developers transformed Podimo’s search and discovery experience with machine learning (ML)
STX Next, a global leader in IT consulting, has successfully elevated the search and discovery functionality of Podimo, a platform for hosting and monetizing podcasts, audiobooks and content from other audio creators. An experienced development team implemented a host of new technologies, including machine learning models, to o**** an enhanced discovery experience and vastly improve engagement and retention within Podimo’s user base.
Commenting on the partnership, Benjamin Biering, Global Director of Artificial Intelligence at Podimo said, “Our collaboration with STX Next has been exceptionally professional and fruitful. They have consistently delivered high-quality ML models, improved our s************, and successfully prototyped applications with LLMs, demonstrating their reliability and expertise.”
Founded in Copenhagen in 2019, Podimo is a platform for podcast and audiobook lovers as well as audio content creators. Its library of content encompasses more than 1,000 exclusive shows and over 70,000 audiobooks. Its revenue-sharing model rewards creators for making content that people want to hear, whether they have an established following or a niche audience.
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The Challenge
Podimo wanted to revolutionize its search functionality to better serve its diverse user base.
With a focus on rewarding creators and providing a seamless listening experience, Podimo needed to enhance the accuracy and relevance of the matches according to user preferences.
Podimo’s existing search system faced challenges in meeting user expectations, often delivering irrelevant results due to a limited understanding of queries and content semantics. To address this, STX Next proposed the incorporation of advanced methodologies such as Learning to Rank (LTR), semantic search, and conversational search to elevate the experience.
Additionally, STX Next were asked to implement ML models that would allow analysis of user interactions, helping Podimo understand their intent and facilitate a conversational search interface.
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The solution
Taking into consideration Podimo’s unique needs, STX Next’s dedicated team proposed the implementation of new features, including a dynamic ML model trained on user interactions to adjust podcast and audiobook rankings, aligning search results with user preferences.
The team also implemented a semantic search model designed to understand the context of user queries, enabling content discovery beyond lexical matching, and an integration of lexical and semantic search outcomes through an ML model to re-rank results for accuracy and relevance.
Finally, STX Next introduced a conversational search assistant to bridge user interactions with the s************, gathering feedback for further enhancements.
The results
The incorporation of these features led to significant benefits for Podimo including improved relevance in searches. This means users now receive highly relevant search results tailored to their explicit queries and content preferences.
The team also enhanced discovery though the overhaul of semantic search capabilities, enabling users to find relevant content matching their interests and intent. Engagement and retention were also improved by the intuitive and effective search function, with key advantages being longer session durations, shorter search times, and higher listening and following r****.
Finally, the introduction of a conversational search assistant showcases Podimo’s forward-thinking approach to user interaction, setting the company apart in a competitive market and paving the way for future developments.
STX Next, a global leader in IT consulting, specializes in delivering cutting-edge AI-powered software solutions. Our expertise is backed by insights from over 500 CTOs, ensuring that our services align with the latest industry challenges and leadership strategies.
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