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Microsoft Research Summit 2021 • Videos

Opening remarks: The Future of Search and Recommendation

October 19, 2021
Susan Dumais | Microsoft Research
Microsoft Research Summit 2021 | The Future of Search & Recommendation

Search and recommendation is core to many Microsoft offerings—such as Microsoft 365, Microsoft Azure, and Microsoft Bing—and it’s crucial to a growing range of industries, such as biomedicine, retail e-commerce, and legal. Underlying technologies are transforming what we know about search and recommendation and the ability to understand and represent knowledge as embeddings extends beyond text to code, images, and more. This track discusses how these technologies will transform every profession for everyday searchers.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)

- Susan Dumais
  
  Technical Fellow & Managing Director, Microsoft Research New England, New York City and Montreal
Research Area
- Search and information retrieval
Group
- AI Interaction and Learning
Event
- Microsoft Research Summit 2021

The Future of Search & Recommendation

Opening remarks: The Future of Search and Recommendation
October 19, 2021
Susan Dumais
Keynote: Universal search and recommendation
October 19, 2021
Paul Bennett
Keynote: Extreme classification for dense retrieval and personalized recommendation
October 19, 2021
Manik Varma
Research talk: Capturing the visual evolution of fashion in space and time
October 19, 2021
Kristen Grauman
Research talk: Local factor models for large-scale inductive recommendation
October 19, 2021
Tobias Schnabel
Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
October 19, 2021
Chenyan Xiong
Research talk: DeepXML: A deep extreme classification framework for recommending hundreds of millions of items
October 19, 2021
Deepak Saini
Research talk: Is phrase retrieval all we need?
October 19, 2021
Danqi Chen
Research talk: Approximate nearest neighbor search systems at scale
October 19, 2021
Harsha Simhadri
Research talk: SPTAG++: Fast hundreds of billions-scale vector search with millisecond response time
October 19, 2021
Qi Chen
Research talk: System frontiers for dense retrieval
October 19, 2021
Jason Li,

Knut Risvik
Research talk: Search, summarization, and sensemaking
October 19, 2021
Marti Hearst
Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
October 19, 2021
Julia Kiseleva
Research talk: Summarizing information across multiple documents and modalities
October 19, 2021
Subhojit Som
Research talk: The science behind semantic search: How AI from Microsoft Bing is powering Azure Cognitive Search
October 19, 2021
Alec Berntson
Research talk: Domain-specific pretraining for vertical search
October 19, 2021
Tristan Naumann
Panel: The future of search and recommendation: Beyond web search
October 19, 2021
Eric Horvitz,

Nitin Agrawal,

Soumen Chakrabati

, et. al.
Research talk: Extracting pragmatics from content interactions to improve enterprise recommendations
October 19, 2021
Jennifer Neville
Research talk: Challenges in multi-tenant graph representation learning for recommendation problems
October 19, 2021
Arun Iyer
Research talk: Attentive knowledge-aware graph neural networks for recommendation
October 19, 2021
Yaming Yang
Panel: Causality in search and recommendation systems
October 19, 2021
Emre Kiciman,

Amit Sharma,

Dean Eckles

, et. al.
Closing remarks: The Future of Search and Recommendation
October 19, 2021
Susan Dumais