Dec 4, 2023 · Artificial Intelligence

Xiaohongshu Search Engine Innovations Presented at SIGIR-AP 2023

At SIGIR‑AP 2023 in Beijing, Xiaohongshu’s technical team unveiled four key innovations—advanced user‑intent analysis via multi‑stage LLM pre‑training, multimodal vector retrieval, generative inverted‑index enhancements, and a three‑stage relevance‑ranking pipeline with knowledge distillation—to tackle high multi‑intent, long‑tail, and multimodal search challenges for its 260 million‑user platform.

SIGIR-APVector RetrievalXiaohongshu

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Xiaohongshu Search Engine Innovations Presented at SIGIR-AP 2023

DataFunTalk

Apr 1, 2020 · Artificial Intelligence

Knowledge Graph‑Based Multimodal Semantic Understanding at Baidu

This article outlines Baidu's large‑scale knowledge graph applications in AI, detailing the need for multimodal semantic understanding, challenges in text and video comprehension, and the technical solutions including entity annotation, conceptization, knowledge networks, and multimodal fusion for enhanced search, recommendation, and visual question answering.

Visual Question Answeringconceptualizationentity annotation

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Knowledge Graph‑Based Multimodal Semantic Understanding at Baidu