book bar

This project is an intelligent online platform for book discovery and recommendation. The website is designed for reading enthusiasts and casual readers alike, particularly those who feel overwhelmed by choice or struggle to find books that match their specific interests. It directly addresses the common problems of not knowing what to read next and the difficulty of finding precise book matches based on vague preferences. Users do not need to remember exact book titles or author names; instead, they can simply input keywords or tags that describe their reading mood or interests, and the system will intelligently match and recommend the most relevant books. The website's core pages include a streamlined Homepage with a prominent search area, a Results Page, and a detailed Book Information Page. Its most prominent feature is the powerful and flexible tag-based search system. On the homepage, users can enter any descriptive tags into the search bar, such as "sci-fi," "cozy mystery," "psychological thriller," or more specific themes like "climate change" or "Victorian era." The system then redirects to the results page, which displays matching books in a clean, card-based layout showing the cover, title, author, and a brief synopsis. Clicking on any book leads to a dedicated detail page for more comprehensive information, including the publisher, page count, and a community-driven section featuring additional relevant tags contributed by other users, fostering a continuously enriched tagging ecosystem. The entire user experience is intuitive and efficient, making the journey from a simple idea to a discovered book in just a few clicks. To enable accurate and fast recommendations, the website's backend utilizes Elasticsearch as the core search engine. This technology leverages powerful full-text search and tokenization capabilities to efficiently index and query the book database. Each book in the database is associated with multiple processed and normalized tags. When a user enters one or multiple tags, the system performs relevance scoring and sorting within Elasticsearch, ensuring the best-matched books appear at the top of the results. This technical approach guarantees a responsive, scalable, and precise search experience for the end-user.