Research talk: The science behind semantic search: How AI from Microsoft Bing is powering Azure Cognitive Search
Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. As part of our AI at Scale effort, we lean heavily on recent developments in large transformer-based language models to improve the relevance quality of Microsoft Bing. These improvements allow a search engine to go beyond keyword matching to searching using the semantic meaning behind words and content. We call this transformational ability “semantic search.” In this talk we’ll, explore how we are bringing semantic search capabilities to all Azure customers through Azure Cognitive Search.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- 轨迹:
- The Future of Search & Recommendation
- 日期：
- 演讲者：
- Alec Berntson
- 所属机构：
- Microsoft
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Alec Berntson
Principal Engineering Manager
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The Future of Search & Recommendation
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Keynote: Universal search and recommendation
Speakers:- Paul Bennett
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Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
Speakers:- Chenyan Xiong
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Research talk: Is phrase retrieval all we need?
Speakers:- Danqi Chen
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Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
Speakers:- Julia Kiseleva
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Research talk: Summarizing information across multiple documents and modalities
Speakers:- Subhojit Som
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Panel: The future of search and recommendation: Beyond web search
Speakers:- Eric Horvitz,
- Nitin Agrawal,
- Soumen Chakrabati
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Research talk: Attentive knowledge-aware graph neural networks for recommendation
Speakers:- Yaming Yang
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Panel: Causality in search and recommendation systems
Speakers:- Emre Kiciman,
- Amit Sharma,
- Dean Eckles
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