Panel: The future of search and recommendation: Beyond web search
The increasing ability to learn representations of text, code, and even medical chemical compounds is changing what and how people search in every domain. In this panel, we bring together experts from industry and academia to discuss how these technology trends will impact every facet of search and recommendation, from vertical search scenarios like biomedical search and e-commerce search to enterprise, email, video search, and beyond. We invite the panelists to speculate on emerging scenarios for search and recommendation, the implications of technology trends, key challenges that must be solved, and likely scientific breakthroughs on the horizon.
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：
- Eric Horvitz, Nitin Agrawal, Soumen Chakrabati, Susan Dumais, Yi Zhang
- 所属机构：
- Microsoft, Microsoft, IIT Bombay, Microsoft, UC Santa Cruz
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Eric Horvitz
Chief Scientific Officer
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Susan Dumais
Technical Fellow & Managing Director, Microsoft Research New England, New York City and Montreal
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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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