All work

Recommendations · Reuters · 2024

Read Next

A recommendation engine I prototyped alone, proved on live pages, then shipped with the team as Reuters.com's Read Next platform.

+20%
recirculation
+22%
subscription conversion, single-article visitors

Context

Reuters.com serves a large, mostly anonymous audience. Retention depends on turning a one-article visit into a second and third, because that's where subscription intent starts.

The problem

Most readers arrived from search or social, read one article and left. The end of every article was a dead end.

What the evidence said

Tag-based related links matched topics, not intent. What a reader did in this session said more than what the article was tagged.

Options on the table

  • Rejected

    Buy a vendor recommendation widget

    Fast to install, but a black box: no control over editorial standards, and it optimised for clicks rather than depth.

  • Rejected

    Most-read lists

    Cheap and safe, but identical for every reader and biased toward whatever was already winning.

  • Chosen

    Build in-house: embeddings, session profile, MMR ranking

    Kept ranking explainable to editors and let us tune for diversity, not just similarity.

What shipped

  • Four-tier tag classification feeding weighted sentence-transformer embeddings
  • Session profiling with recency decay
  • MMR ranking so recommendations stay relevant without repeating one story
  • Chrome-extension prototype on live article pages before any production commitment

Outcome

Shipped as Read Next. Recirculation up 20%, and subscription conversion among single-article visitors up 22%.

My role, and the team's

Me
Built the prototype solo, ran the live-page proof, wrote the case for production and set the success metrics.
The team
Engineering took it to production scale; design owned the module; analytics owned the measurement plan.

From the working file

One-page decision memoRead Next: build, don't buy
Decision
Build an in-house recommender behind a feature flag on article pages.
Why now
Prototype shows higher click-through on the end-of-article slot than tag links across a two-week sample.
Success metric
Recirculation (2+ articles per session). Guardrail: time on page must not fall.
Kill criterion
No recirculation lift at 95% confidence after four weeks: revert to tag links.
Ask
Two engineers for one quarter; editorial review of the ranking rules.

What I'd do differently

I'd bring editorial in at prototype stage rather than at review. Their instinct for what shouldn't sit together would have saved a tuning cycle.