5 papers
Efficient GPU Retrieval for Semantic Search
Dhritiman Das, Chujie Zheng, Ronak Kaoshik +18
Semantic Search on LinkedIn must retrieve relevant profiles from a corpus of hundreds of millions in response to natural-language queries such as "a fintech founder in Berlin who w…
From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search
Yanbo Li, Chujie Zheng, Jiahao Xu +8
People search must map free-form location phrases to geographic entities used as structured retrieval filters. Lexical standardizers handle canonical names well but are brittle to…
A Unified Structured Query Understanding Framework for Industrial Semantic Search
Ping Liu, Qianqi Shen, Jianqiang Shen +15
Query understanding in large-scale industrial search systems is typically implemented as a cascade of disparate, task-specific components. While individually optimizable, this frag…
Semantic Search At LinkedIn
Fedor Borisyuk, Sriram Vasudevan, Muchen Wu +71
Semantic search with large language models (LLMs) enables retrieval by meaning rather than keyword overlap, but scaling it requires major inference efficiency advances. We present…
SAGE: Scalable AI Governance & Evaluation
Benjamin Le, Xueying Lu, Nick Stern +17
Evaluating relevance in large-scale search systems is fundamentally constrained by the governance gap between nuanced, resource-constrained human oversight and the high-throughput…