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Chirag Shah. Information School (iSchool) University of Washington Allen Library 193B, Seattle, WA 98195, USA Allen Library 193B, Seattle, WA 98195, USA
Collaborative Information Seeking Lab Experiments Dataset. The dataset being shared from a set of lab experiments conducted by Chirag Shah and Roberto Gonzalez-Ibanez at Rutgers University in 2010-2011.
Chirag Shah July 2024 2 of 26 Other Degrees Earned • MS in Computer Science from University of Massachusetts (UMass) Amherst (2006). • MTech in Computer Science & Engineering from Indian Institute of Technology (IIT) Madras, India (2002).
Books. Shah, C. (2023).A hands-on introduction to Machine Learning. Cambridge University Press. Shah, C., & White, R. W. (2021).Task Intelligence for Search and ...
Jun 4, 2024 · 2024; Envisioning New Modalities and Mechanisms for Information Interactions.The 2024 SIGIR Workshop on eCommerce (eCom24). Washington, DC. July 18, 2024.
Preetam Prabhu Srikar Dammu 1, Yunhe Feng,2 and Chirag Shah1 1University of Washington, Seattle, WA, USA 2University of North Texas, Denton, TX, USA preetams@uw.edu, yunhe.feng@unt.edu, chirags@uw.edu Abstract Machine learning (ML) technologies are known to be riddled with ethical and operational problems, however, we are witnessing an increasing thrust by businesses to deploy them in sensitive applica-tions. One major issue among many is that ML
Chirag Shah and Emily M. Bender. 2022. Situating Search. In Proceedings of the 2022 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’22), March 14–18, 2022, Regensburg, Germany. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3498366.3505816 1 INTRODUCTION
Chirag Shah chirags@uw.edu University of Washington Seattle, WA, USA Abstract Recommender systems play an essential role in the choices peo-ple make in domains such as entertainment, shopping, food, news, employment, and education. The machine learning models under-lying these recommender systems are often enormously large and
Implicit detection of relevance has been approached by many during the last decade. From the use of individual measures to the use of multiple features from different sources (multimodality), studies have shown the feasi-bility to automatically detect whether a document is rel-evant.
Chirag Shah chirags@rutgers.edu Erik Choi erikc@dropbox.com 1 Department of Computer Science, Rutgers University, Piscataway, NJ, USA 2 School of Communication and Information, Rutgers University, New Brunswick, NJ, USA 3 Dropbox, New York, NY, USA 1 Introduction The way people share and seek information has been unde-niably changed by critical tools such as the Internet and the World Wide Web (WWW). Many online resources on the
