Information Retrieval & Search

Related Faculty

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Marti Hearst

Professor
Human-computer interaction, information visualization, computational linguistics, search and information retrieval, improving MOOCs and online education

Recent Publications

Using AI/Machine Learning to Extract Data from Japanese American Confinement Records
Situating Web Searching in Data Engineering: Admissions, Extensions, Repairs, and Ownership

 

 
Search quality complaints and imaginary repair: Control in articulations of Google Search
Google Scholar – Platforming the scholarly economy
Ideology and Libraries: California, Diplomacy, and Occupied Japan 1945-1952
Ideology and Libraries: California, Diplomacy, and Occupied Japan, 1945–1952
Rescripting Search to Respect the Right to Truth
Systems and methods for detecting and locating unsecured sensors in a network
The Promises and Limitations of Blockchain: Taking Stock and Lessons Learned
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Search User Interfaces
New book by I School professor Marti Hearst focuses on search engines' user interfaces and how people use them.
Search before grep.

Information Retrieval & Search news

Michelle Yeoh cries as other crowd around her for support
With the Help of AI, UC Berkeley Researchers Confirm Hollywood Is Getting More Diverse

A new study led by Professor David Bamman used facial recognition technology to track the amount of time actors appear on screen in more than 2,300 films.

photo of Emma Lurie smiling
Ph.D. Student Emma Lurie Compares Platform Research API Requirements
Jeff MacKie-Mason headshot
Jeff MacKie-Mason: “The Internet Archive Is a Library”
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David Bamman Awarded Mellon Grant for Text/Data Mining Project with UC Berkeley Library
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UC Berkeley Researchers Use Google Search Data To Examine Interest in At-Home Abortions

Berkeley researchers, including Prof. Coye Cheshire, used Google search data to explore interest in at-home abortion and assess its implications.

Hany Farid
Hany Farid: Google Is Not Cracking Down on the Most Dangerous Drug in America
Josh Blumenstock
Joshua Blumenstock: Machine Learning Can Help Get COVID-19 Aid To Those Who Need It Most

As the COVID-19 crisis continues, hundreds of millions of citizens of low-income countries are being left without work or income. Assistant Professor Joshua Blumenstock discusses new methods to combat this.

David Bamman
David Bamman Awarded NSF Career Award

Assistant Professor David Bamman was honored for for his research designing computational methods for natural language processing for fiction.

danah boyd
danah boyd Warns Against Disinformation in “Data Voids”
Krista Mar
Alumna Krista Mar Seeks Fair Representation in the 2020 Census