Citation Intent Recognition: Meituan's Winning Solution in WSDM Cup 2020

Meituan’s Search & NLP team, together with two universities, won the WSDM Cup 2020 Citation Intent Recognition task by building a multimodal retrieval‑ranking pipeline that merges semantic, spatial and axiomatic recall models with pairwise BERT and LightGBM ranking, achieving the highest MAP@3 and now powering Meituan’s QA, FAQ and core search systems.

BERTCitation IntentLightGBM

0 likes · 14 min read

Citation Intent Recognition: Meituan's Winning Solution in WSDM Cup 2020

Qunar Tech Salon

Apr 29, 2019 · Artificial Intelligence

Multi‑Level Deep Model Fusion for Fake News Detection Using BERT – Winning Solution of WSDM Cup 2019

The article details the Travel team's award‑winning solution for the WSDM Cup 2019 fake‑news detection task, describing data analysis, preprocessing, label‑propagation augmentation, a BERT‑based baseline, a three‑stage multi‑level model‑fusion framework, experimental results, and future directions.

BERTModel FusionNLP

0 likes · 12 min read

Multi‑Level Deep Model Fusion for Fake News Detection Using BERT – Winning Solution of WSDM Cup 2019

Meituan Technology Team

Feb 21, 2019 · Artificial Intelligence

Fake News Detection with Multi‑level BERT Fusion at WSDM Cup 2019

In the WSDM Cup 2019 fake-news detection challenge, the Meituan Travel team secured second place by combining extensive data analysis, Chinese-English BERT fine-tuning, label-propagation augmentation, and a three-level fusion framework—blending, stacking, and linear regression—that lifted weighted accuracy to 0.88156.

BERTModel FusionNLP

0 likes · 16 min read

Fake News Detection with Multi‑level BERT Fusion at WSDM Cup 2019