STX Next specialists were working together with Podimo onsite team to create an application that will allow users to listen and upload the podcasts and audiobooks. The app shares members’ subscription fees between the creators of the audio material so there would be a direct connection between a customer and a creator. Currently we are working on the bugfixing, feature updates and maintenance as the application is already live and working for the good of the customers.
Podimo's Elasticsearch system delivered search results that weren't always relevant. Despite possessing rich information about user preferences, they struggled to consistently prioritize the most popular shows in search responses.
STX Next first scrutinized and optimized Podimo's existing Elasticsearch settings, refining mappings and analyzers. We then implemented a Learning To Rank machine learning model to reposition search results, placing those with higher historical user preferences at the top. Additionally, semantic search capabilities using BERT were integrated, enabling users to search using natural language and get more pertinent results. We're now in the process of adding a conversational search feature, primarily leveraging OpenAI's ChatGPT, allowing users to interact with a chatbot for their queries.
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