Tagged articles
2 articles
Page 1 of 1
21CTO
21CTO
Jun 7, 2017 · Artificial Intelligence

How Pinterest Scaled Its Recommendation Engine: From Simple Graphs to Real‑Time AI Ranking

This article chronicles Pinterest's recommendation system evolution, detailing how the platform progressed from basic pin‑board co‑occurrence graphs to sophisticated machine‑learning‑driven candidate generation and real‑time personalized ranking, boosting user engagement and enabling advanced visual search capabilities.

AIPinterestcandidate generation
0 likes · 15 min read
How Pinterest Scaled Its Recommendation Engine: From Simple Graphs to Real‑Time AI Ranking
21CTO
21CTO
Sep 8, 2015 · Artificial Intelligence

Inside Meituan’s Recommendation Engine: From Data to Real‑Time Ranking

This article outlines Meituan’s end‑to‑end recommendation system, describing its data layer, candidate‑generation triggers, fusion strategies, and machine‑learning‑based ranking models—including collaborative filtering, location‑based, query‑based, graph‑based methods, and both linear and non‑linear models—while highlighting practical optimizations such as AB testing, real‑time behavior handling, and fallback strategies.

MeituanOnline Learningcandidate generation
0 likes · 19 min read
Inside Meituan’s Recommendation Engine: From Data to Real‑Time Ranking