Starseed, the developer of the AI-based global PR automation SaaS 'Pulitzer AI', announced on the 16th that it has acquired a patent for 'a method and device for performing user-tailored article writing'.
This patent is a technology that analyzes repeatedly collected user feedback data using a large language model (LLM) and automatically generates articles that reflect the user’s preferred writing style, keywords, and writing tone based on this. Users can generate high-quality content with just simple selective input, and the interface design focuses on minimizing the burden of input.
Starseed is implementing article automation functions that reflect user preferences by applying the technology to its service Pulitzer AI. It has a structure that learns feedback data through natural language processing (NLP)-based keyword extraction and machine learning-based personalization models, and reflects this in real time in content creation. The results are provided in the form of press releases or news articles, and additional feedback is used for retraining to continuously improve the performance of the generation model.
Additionally, it includes a function that automatically recommends and matches suitable media outlets based on conditions such as country, language, field, and political inclination, depending on the article style, enabling customized PR targeting various language areas and markets.
Starseed CEO Son Bo-mi said, “This patent will serve as a key technology for Pulitzer AI to realize customized PR for each user,” and added, “Through technological advancements, we will be able to support the PR work of companies and creators in a more sophisticated and efficient manner.”
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