A Book Recommendation System
For Your School Library
Most school library cataloguing systems tell you where your books are. A book recommendation system tells you which student should be reading which book next. LibraryAid combines both — professional-grade cataloguing with AI-powered personalised recommendations — using the books you already own.
Try Free for 30 Days See How It WorksThe Problem With Most Library Cataloguing Systems
Traditional school library cataloguing systems — from Follett Destiny to Koha to TinyCat — were built to solve a logistics problem: tracking which books you own, who has borrowed them, and when they are due back. They solve that problem well.
But they don't solve the problem every primary school teacher and librarian actually faces every day: how do you connect each individual student with the book most likely to excite them?
A child who loved the first Percy Jackson book should probably read the second. A reluctant reader who grudgingly enjoyed a football story might love a sports biography. An EAL student reading two years below their age needs books that are engaging enough to sustain effort. A cataloguing system can't make those connections. A recommendation system can.
❌ Traditional Cataloguing System
- Tracks which books you own
- Manages checkout and return
- Sends overdue alerts
- Students browse shelves or search catalogue
- Popular books get read repeatedly
- Hundreds of books sit untouched
- No insight into what students should read next
✅ Cataloguing + Recommendation System
- Everything a cataloguing system does, plus:
- Personalised recommendations per student
- Matches reading level, interests, curriculum topics
- Surfaces overlooked books from your shelves
- Community reading lists from peer reviews
- Comprehension tracking across all 6 VIPERS skills
- Gamification that motivates genre exploration
How LibraryAid's Book Recommendation System Works
LibraryAid was built by a primary school teacher who watched hundreds of carefully chosen books sit untouched on the library shelf — not because students didn't like reading, but because there was no systematic way to connect each child to the books most likely to excite them.
What Makes LibraryAid Different From Other Recommendation Systems
Several platforms offer book recommendations for schools. Here is what makes LibraryAid's approach genuinely different.
Uses Your Existing Books
Unlike Accelerated Reader, which requires books to be on its proprietary list, LibraryAid generates recommendations from whatever is on your shelves. No new books to buy. No restricted lists.
Surfaces Hidden Gems
The algorithm actively pulls from Carnegie Medal winners, Waterstones Children's Book Prize shortlists, and curated year group reading lists — surfacing brilliant books students would never find browsing shelves alone.
Community Reading Lists
Student reviews and star ratings from your school community feed directly into the recommendation engine. The more students engage, the smarter the recommendations become — peer recommendations that actually reflect your library.
VIPERS Comprehension Tracking
Every book has an AI-generated VIPERS comprehension quiz. All six reading comprehension skills tracked per student — Vocabulary, Inference, Prediction, Explanation, Retrieval, Summarise — with class-wide weak area identification.
Gamification That Builds Readers
Students earn genre-specific points by reading and completing comprehension quizzes. Points unlock accessories for a customisable worm companion across 22 genre reward shops — motivating breadth of reading, not just volume.
Flat Fee Per School — Not Per Student
Accelerated Reader charges per student — costs escalate as your school grows. LibraryAid charges a flat fee per school. A growing school pays the same as a stable one. No surprises at renewal.
Smart Recommendations Based on Community Reading Lists
One of the most powerful features of a school-based recommendation system is that it can draw on the reading patterns of your own school community — not generic internet reviews, but the actual preferences of students in your classrooms.
👥 How Community Reading Lists Work in LibraryAid
Every time a student rates a book, writes a review, or marks a book as finished, that data feeds back into the recommendation engine. The system learns which books students at your school — with your demographic, your curriculum, your reading culture — actually enjoy.
This means a student who loved a book that was popular in your Year 4 last year will be recommended it — even if it wouldn't appear on a generic "top books" list. The recommendations become specific to your school over time in a way that no external database can replicate.
Teachers can also create and push curated reading lists — curriculum-linked collections, seasonal recommendations, award shortlists — which appear alongside AI-generated suggestions in each student's personalised feed.
"LibraryAid has completely changed how my students engage with our library. Before, they'd pick the same books or wander aimlessly. Now they're genuinely excited to see their personalised recommendations — I've had multiple students come tell me about books they'd never have found on their own."
— Helen, Year 3 TeacherTransparent, Flat-Rate Pricing — Per School, Not Per Student
Unlike Accelerated Reader (which charges per student) or Follett Destiny (which requires a custom quote), LibraryAid publishes its prices openly. One flat fee per school. All features included. No add-ons.
Frequently Asked Questions
The Book Recommendation System Your School Library Has Been Missing
Full library cataloguing. AI-powered personalised recommendations. VIPERS comprehension tracking. Community reading lists. All from the books you already own. From £20/month.
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