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DataFunSummit
DataFunSummit
Jul 13, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life Service Knowledge Graph

This article details Meituan's "Meituan Brain" initiative, describing the roadmap and techniques for building large-scale life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph neural networks, and their integration into search, recommendation, and question‑answering systems.

AIGraph Neural NetworkMeituan
0 likes · 14 min read
Construction and Application of Meituan's Life Service Knowledge Graph
DataFunTalk
DataFunTalk
Jun 3, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life‑Service Knowledge Graph

This article explains Meituan's 'Meituan Brain' initiative, detailing the construction of life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph labeling, and applications such as open QA, search ranking, and recommendation using AI and GNN techniques.

AIGraph Neural Networkknowledge graph
0 likes · 13 min read
Construction and Application of Meituan's Life‑Service Knowledge Graph
58 Tech
58 Tech
May 24, 2021 · Artificial Intelligence

Tag Extraction for 58 Yellow Pages Posts Using Sequence Labeling and Model Optimization

This article describes a complete solution for extracting and normalizing tags from 58 Yellow Pages service posts, covering candidate word acquisition, sequence‑labeling models such as CRF and BERT‑CRF, hierarchical softmax optimization for massive label spaces, and experimental results on both post content and user reviews.

BERTCRFhierarchical softmax
0 likes · 20 min read
Tag Extraction for 58 Yellow Pages Posts Using Sequence Labeling and Model Optimization
Mafengwo Technology
Mafengwo Technology
Mar 8, 2019 · Artificial Intelligence

How Dynamic Template Matching Transforms User Review Tag Extraction

This article explains a flexible template‑matching approach that dynamically extracts concise, user‑friendly tags from online travel reviews, detailing the system architecture, key concepts, step‑by‑step implementation, and matching rules that improve recall and relevance.

AINLPTemplate Matching
0 likes · 15 min read
How Dynamic Template Matching Transforms User Review Tag Extraction