Book Data with AI

TREZBOOK’s AI technology plays a crucial role in enhancing the value of collected data. It processes both structured and unstructured data using distinct methods. For example, book information like title, author, and genre is considered structured data because they follow a standardized, consistent format that can be systematically categorized, making it straightforward for machine learning algorithms to process and analyze for insights such as reader preferences or recommending similar books. In contrast, unstructured data exists in forms such as text, images, and audio, which requires AI technologies like Natural Language Processing (NLP), content-based filtering, deep learning, and computer vision (CV) to extract value.

The vast amount of data collected in the TREZBOOK ecosystem is transformed into highly valuable information through AI technology.

The platform analyzes text data (user reviews, feedback, etc.) by applying NLP to better understand reader preferences. Content-based filtering analyzes the user’s reading history and evaluations to recommend similar characteristics. Deep learning further allows the platform to analyze user reading patterns and behaviors to build advanced learning models. This enriched data will form a highly valuable pool that can be utilized meaningfully by authors, publishers, and companies involved in the book ecosystem.

Valuable data is generated and accumulated using AI technology based on the ISBN (International Standard Book Number) barcode-scanned book data.

Users can easily add their book data to TREZBOOK by scanning the ISBN barcode of each book. This process captures fundamental book data such as title, author, genre, publisher, publication year, and price. Readers can also record their favorite quotes from books, leave reviews, and provide all related data in various formats (text, images, short-form videos) on the TREZBOOK platform. The collected data will be transformed into more meaningful insights through TREZBOOK’s AI technology.

By building a lightweight Large Language Model (LLM) based on specialized book data, TREZBOOK aims to provide innovative experiences for all stakeholders as a global Vertical Book AI service.

TREZBOOK's Vertical Book AI, built on a Domain-Specific LLM, is designed to provide transformative service experiences by delivering high-value data to all ecosystem participants. By leveraging a flexible integration of Domain-Specific LLMs and Retrieval Augmented Generation (RAG) technology, TERZBOOK ensures real-time utilization of the latest external data and hybrid reasoning through domain-knowledge-based search, enabling more accurate and high-quality outputs tailored to the needs of ecosystem participants.

Ultimately, readers can benefit from highly personalized book recommendations based on their preferences and reading history, along with reading guides that delve into the themes, backgrounds, and hidden meanings of books. The Vertical Book AI facilitates connections between readers with similar tastes, fostering a thriving book and knowledge-sharing community on the platform.

For authors, the AI provides analyses of similar works to suggest differentiation strategies and offers fresh ideas for new themes and topics. It also analyzes reader feedback to offer writing guides on style, structure, and character development tailored to specific audiences. The AI aims to provide marketing strategies targeting specific readership demographics, ultimately helping the authors predict and enhance the market success of their works.

For publishers, TREZBOOK enables publishers to analyze market trends, such as bestseller patterns, trending topics, and popular themes, to guide title selection and strategic planning. It also supports pricing strategies and risk assessments through comparative analyses of similar works. Furthermore, the platform suggests distribution and marketing strategies for books, including promotional approaches tailored to the desired readership of the publishing house, optimizing market reach and impact.

By harnessing the power of Domain-Specific LLMs and RAG, as well as TREZBOOK's AI technology, TREZBOOK empowers all participants in the book ecosystem with actionable insights, fostering innovation and success in the global literary landscape.