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HCI Seminar 5/6, Jaime Teevan, Microsoft Research — Slow Search

Michael Bernstein msb at
Mon May 2 10:21:10 PDT 2016

Slow Search
Jaime Teevan, Microsoft Research

May 6, 2016, 12:30-1:30pm, Gates B01 · Open to the public
CS547 Human-Computer Interaction Seminar (Seminar on People, Computers, and

We live in a world where the pace of everything from communication to
transportation is getting faster. In recent years a number of "slow
movements" have emerged that advocate for reducing speed in exchange for
increasing quality. These include the slow food movement, slow parenting,
slow travel, and even slow science. We propose the concept of "slow
search," where search engines use additional time to provide a higher
quality search experience than is possible given conventional time
constraints. While additional time can be used to identify particularly
relevant results within the existing search engine framework, it can also
be used to create new search artifacts and enable previously unimaginable
user experiences. In this talk I focus on how search engines can make use
of additional time to employ a resource that is inherently slow: people.
Using crowdsourcing, friendsourcing, and selfsourcing, I will highlight
opportunities for search systems to support new search experiences with
high quality result content that takes time to identify.

Jaime Teevan ( is a Principal
Researcher at Microsoft Research and affiliate faculty at the University of
Washington. Working at the intersection of human computer interaction and
information retrieval, she studies people's information seeking activities.
Much of her research focuses on the social and temporal context of
information use, and she developed the first personalized search algorithm
used by Bing. Her accomplishments have been honored with Technology Review
(TR35) Young Innovator and Borg Early Career awards. She has published over
one hundred technical articles, books, award papers, and patents, and has
given keynotes at CIKM, UMAP, TEDx, and Web Science. Jaime received a Ph.D.
from MIT and a B.S. from Yale University.
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