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Read the privacy noticeAn SDK for measuring the quality of recommendation systems in a repeatable way.
An early prototype exploring recommendation quality evaluation. A full write-up — problem, architecture and outcomes — is coming soon.
Full case study not yet published.
Publish the full write-up.
An SDK for measuring recommendation quality — details are being confirmed before anything specific is published.
What This Is
This project is recorded as real work on an SDK for evaluating recommendation quality. It is currently at prototype status. No architecture, stack details, or outcomes have been verified yet — the content here reflects that gap honestly rather than filling it with guesses.
Why Recommendation Evaluation Is a Real Problem
Recommendation systems are easy to ship and hard to measure. Without a structured evaluation layer, teams default to proxy metrics like click-through rate, which can diverge from actual quality. An SDK purpose-built for this problem suggests an attempt to make evaluation repeatable and portable across projects — but the specific approach here is unconfirmed.
Current Evidence
Confirmed facts: the project exists, is categorized under automation, uses an evals-focused stack, and is at prototype stage. Not yet confirmed: architecture, specific evaluation methods, decisions made, or measurable outcomes. This page will be updated once Alexandra completes her review.