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ITPUB
ITPUB
Jun 25, 2022 · Artificial Intelligence

How We Revamped a Content Community’s Recommendation Engine for Real‑Time, Personalized Results

This article details the evolution of the ‘逛逛’ content community’s recommendation system, comparing the legacy rule‑based Hive workflow with a new algorithm‑driven architecture that leverages Elasticsearch, Redis, multi‑stage recall, coarse‑ and fine‑ranking, re‑ranking, exposure filtering, cold‑start handling, performance tuning, and future plans for vector‑based recall and platformization.

Real-Timealgorithmic rankingcold start
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How We Revamped a Content Community’s Recommendation Engine for Real‑Time, Personalized Results