• Rudraksh Kapil | Machine Learning Engineer I; Michal Giemza | Senior Machine Learning Engineer; Devan Srinivasan | Machine Learning Engineering Intern; Leif Sigerson | Senior Data Scientist; Stephanie Chen | Staff Quantitative Product Researcher; Wendy Matheny | Senior Lead Public Policy Manager; Jianjin Dong | Engineering Manager II; Qinglong Zeng | Senior Engineering Manager Introductory Summary In 2023 Pinterest became the Founding Signatory of the Inspired Internet Pledge - publicly stating our vision to adhere to three principles: (1) tuning for wellbeing, (2) listening to and acting on what we hear from users, and (3) sharing what we learn about making the internet a safer and healthier place for all, especially teens. • Now, at the end of the second full year of our work with the Inspired Internet Pledge, we’re pleased to share more about what we’re learning from Pinner (a.k.a. • user) surveys and how we incorporate their feedback to improve content quality on our platform. • While much of this blog will get into the weeds of how we design surveys, interpret the data we get from them, and technical details on how we train a machine learning model to understand generic Pinner perception, at the heart of all of this is Pinterest’s commitment to “Put Pinners First.” Our work demonstrates a win/win for both Pinners and the business, and allows us to do good while doing well. • Background At Pinterest, we want people to discover high-quality content - content that makes them feel g

Rudraksh Kapil | Machine Learning Engineer I; Michal Giemza | Senior Machine Learning Engineer; Devan Srinivasan | Machine Learning Engineering Intern; Leif Sigerson | Senior Data Scientist; Stephanie Chen | Staff Quantitative Product Researcher; Wendy Matheny | Senior Lead Public Policy Manager; Jianjin Dong | Engineering Manager II; Qinglong Zeng | Senior Engineering Manager Introductory Summary In 2023 Pinterest became the Founding Signatory of the Inspired Internet Pledge - publicly statin

Article Summaries:

  • Pinterest has begun using in‑app surveys to gather Pinners’ ratings of visual appeal, then training a machine‑learning model on that data to refine its recommendation systems. The initiative, part of the company’s Inspired Internet Pledge, aims to prioritize content that users find genuinely high‑quality rather than merely engaging. By incorporating survey‑derived signals into Homefeed, Related Pins and Search, Pinterest seeks to reduce clickbait, improve long‑term engagement, and align its algorithmic choices with user wellbeing. The effort demonstrates a data‑driven, user‑centric approach to content curation while supporting the platform’s broader commitment to “Put Pinners First.”

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