Book recommender: library integration
Design for integrating the book recommender with the garden library, making it the single source of truth for all book data.
Hands-on explorations you can try yourself.
Design for integrating the book recommender with the garden library, making it the single source of truth for all book data.
Audit of 40 unread and in-progress books with status labels, reading patterns, and calibration data for the recommender.
Design for the logic-based scoring algorithm that powers the book recommender. Five dimensions, no AI.
Interview about book selection habits, reading patterns, and what makes a book work or fail. Input for the book recommender scoring algorithm.
Extract key phrases from 10 garden items using Ollama, compare LLM-based extraction with YAKE.
How to install and run embedding models locally using Ollama, compare three models on garden content, and run a full-scale embedding pass.