Industry: Publishing
Location: USA
AI Query Builder for Large Library
We helped a major publishing company in the U.S. improve search accuracy across its digital library by building an AI-powered query builder. Designed for expert users, the system interprets technical search terms and applies intelligent filters using labeled metadata like topics, authors, and tags—resulting in faster, more precise access to relevant content.
The Problem
The company manages a vast digital library containing a large volume of specialized content. The users of this library are experts in their respective fields, such as researchers, academics, or professionals. These users typically search using precise, technical terms. However, traditional keyword-based search systems often fail to fully understand or return accurate results for these specific and concise search queries. This creates a gap between user intent and the systems ability to retrieve the most relevant data.
The Solution
We developed an AI-powered query builder that enhances the search experience by automatically interpreting user input and applying relevant logical operators. Since the library’s data is well-labeled with facets (such as topic, author, publication year, and domain-specific tags), the system leverages these labels to refine search results. This enables users to filter and combine search terms more effectively, resulting in faster and more accurate access to the information they need.
The Results
The implementation of the AI-powered query builder significantly improved the relevance and precision of search results within the client’s digital library. Users reported a noticeable reduction in time spent refining queries and locating information, particularly when dealing with complex, domain-specific terminology. The intelligent parsing of input and automated filtering led to more intuitive interactions, increasing user satisfaction and overall platform engagement. As a result, researchers and professionals were able to access the right content more quickly, supporting their work with greater efficiency.
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