Pinwheel graphic representing the Microsoft Research Summit

Return to Event: Microsoft Research Summit 2021

Microsoft Research Summit 2021 • Videos

Panel: The future of search and recommendation: Beyond web search

October 19, 2021
Eric Horvitz, Nitin Agrawal, Soumen Chakrabati, Susan Dumais, Yi Zhang | Microsoft, Microsoft, IIT Bombay, Microsoft, UC Santa Cruz
Microsoft Research Summit 2021 | The Future of Search & Recommendation

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)

- Eric Horvitz
  
  Chief Scientific Officer
- Nitin Agrawal
  
  Corporate Vice President
  
  MSAI
- Soumen Chakrabati
  
  Professor
  
  IIT Bombay
- Susan Dumais
  
  Technical Fellow & Managing Director, Microsoft Research New England, New York City and Montreal
- Yi Zhang
  
  Professor
  
  University of California, Santa Cruz
Research Area
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