The Cloud Music team integrated a lightweight on‑device full‑text engine using SQLite FTS5 with a simple tokenizer, replaced JavaScript matching with SQLite’s bm25(), parallelized queries, and cut search latency by 75%, boosting CTR 13% and average playback by 17 seconds while preserving user privacy.
Meituan/Dianping’s edge‑AI re‑ranking system moves large‑scale deep‑learning models onto users’ devices, using dense networks and cloud‑served embeddings, advanced feedback‑sequence and multi‑view attention models, and aggressive compression to deliver real‑time, privacy‑preserving search personalization that boosts click‑through rates by up to 0.43 %.
The 2021 WeChat Open Class revealed a clear signal that WeChat Search will become a default way for users to find information, highlighting massive user growth, open ecosystem opportunities for developers, and a strategic shift that could reshape the mobile search market.
This article examines how Baidu Mobile leverages personalized recommendation algorithms, rich user profiling, and a flexible cloud‑native architecture to deliver tailored search results and services, while also detailing the front‑end engineering practices that support its super‑app ecosystem.
Mobile search is evolving beyond traditional keyword queries, with emerging trends in precise user profiling, crowdsourced data, voice and natural language understanding, deep linking, machine learning, and structured, intelligent result aggregation, promising a more personalized, context‑aware, and seamless search experience on smartphones.
