Search Results for author: Aniket Kittur

Found 9 papers, 2 papers with code

Imitation of Life: A Search Engine for Biologically Inspired Design

1 code implementation20 Dec 2023 Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu Kang, Joel Chan, Aniket Kittur, Dafna Shahaf

We release data and code; we view BARcode as a step towards addressing the challenges that have historically hindered the practical application of BID to engineering innovation.

Natural Language Understanding

Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models

no code implementations3 Oct 2023 Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers

Sensemaking in unfamiliar domains can be challenging, demanding considerable user effort to compare different options with respect to various criteria.

Decision Making Navigate

Fuse: In-Situ Sensemaking Support in the Browser

no code implementations31 Aug 2022 Andrew Kuznetsov, Joseph Chee Chang, Nathan Hahn, Napol Rachatasumrit, Bradley Breneisen, Julina Coupland, Aniket Kittur

People spend a significant amount of time trying to make sense of the internet, collecting content from a variety of sources and organizing it to make decisions and achieve their goals.


Augmenting Scientific Creativity with Retrieval across Knowledge Domains

1 code implementation2 Jun 2022 Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti

Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existing solution ideas.


From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks

no code implementations21 Apr 2022 Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg

To improve the discovery experience we introduce multiple new methods for \em augmenting recommendations with textual relevance messages that highlight knowledge-graph connections between recommended papers and a user's publication and interaction history.

Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas

no code implementations19 Feb 2021 Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf

Large repositories of products, patents and scientific papers offer an opportunity for building systems that scour millions of ideas and help users discover inspirations.

Analogy Mining for Specific Design Needs

no code implementations19 Dec 2017 Karni Gilon, Felicia Y Ng, Joel Chan, Hila Lifshitz Assaf, Aniket Kittur, Dafna Shahaf

Finding analogical inspirations in distant domains is a powerful way of solving problems.

Accelerating Innovation Through Analogy Mining

no code implementations17 Jun 2017 Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf

The availability of large idea repositories (e. g., the U. S. patent database) could significantly accelerate innovation and discovery by providing people with inspiration from solutions to analogous problems.

Information Retrieval Retrieval

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