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Prof. Chirag Shah. I'm Professor in Information School, Adjunct Professor in Paul G. Allen School of Computer Science & Engineering, and Adjunct Professor in Human Centered Design & Engineering (HCDE) at University of Washington (UW).
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@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
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization ... ... we ...
2017; Le, Shah, & Choi, 2017). In our work, we concentrate on the problem of finding potential answerers. By sending the proper questions to the proper answers, we can reduce askers wait time and possibly increase answer quality. Ranking in CQA CQA has become an important source of information
Matthew Mitsui and Jiqun Liu, Chirag Shah. 2018. How Much is Too Much? Whole Session vs. First Query Behaviors in Task Type Prediction. In SIGIR ’18: The 41st International ACM SIGIR Conference on Research Development in Information Retrieval, July 8–12, 2018, Ann Arbor, MI, USA. ACM, New
Geoffrey Baym a & Chirag Shah b a Media Studies , University of North Carolina Greensboro , Greensboro, NC, 27402, USA b School of Communication & Information , Rutgers University , New Brunswick, USA E-mail: Published online: 23 Mar 2011. To cite this article: Geoffrey Baym & Chirag Shah (2011) CIRCULATING STRUGGLE, Information, Communication & Society, 14:7, 1017-1038, DOI:
C. Hendahewa, C. Shah / Information Processing and Management 53 (2017) 905–922 907 1.2. Contributions The major contributions of this article in relevance to the research objectives stated above are as follows. • Evaluate the effect of suggested search trails (based on recommendations following Hendahewa & Shah (2015)) on the
Daniel Hienert, Dagmar Kern, Matthew Mitsui, Chirag Shah, Nicholas J. Belkin. 2019. Reading Protocol: Understanding what has been Read in Interactive Information Retrieval Tasks. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (CHIIR ’19), March 10–14, 2019, Glasgow, Scotland Uk. ACM, New York, NY, USA, 9
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
