Building a Personal Taste Graph for Book Recommendations with Adapter
Prof_DavidBader · x · 2026-08-22
Adapter has launched a cognition layer API designed to solve the challenge of AI understanding personal tastes. The article showcases a practical case by Bilyana Tzolova, who used Adapter to aggregate scattered reading data and recommendations from sources like Goodreads, BookTok, and Reddit into a private taste graph.
Key Implementation::
- Built an app using Claude Code to automatically aggregate cross-platform data.
- Constructed a personalized "taste map" based on integrated reading history and media activity.
- Used the graph to discover new books matching personal preferences, addressing the limitation of traditional algorithms lacking deep context.
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