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"Implicit search feature based approach to assist users in exploratory search tasks" by Chathra Hendahewa, with Prateek Jainas as coordinator

Published: 03 November 2015 Publication History

Abstract

Chathra Hendahewa is a Ph.D. candidate in Department of Computer Science at Rutgers University in New Jersey, currently finishing up her dissertation (Expected Graduation Date: Jan 2016) under the guidance of Prof. Chirag Shah. Her major research interests lie in user search behavior analysis, data mining/machine learning for user interaction analysis and time series analysis. She has published and presented her research work at reputable conferences such as SIGIR, WSDM and ICMLA and also co-authored multiple journal papers published in ACM TOIS, IP&M and JASIST.
She holds a Master of Science in Computer Science from Rutgers University, USA (Jan 2013). Before joining Rutgers, she received her Bachelors in Information Technology from University of Moratuwa, Sri Lanka (Jan 2007), where she was awarded the best information technology graduate award. Chathra was a recipient of the International Fulbright Science and Technology Award (2008-2011) to pursue her doctoral studies. For more information see: http://paul.rutgers.edu/~chathrah/

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  • (2020)Improving Big Data Technologies with Visual Faceted Search2020 8th International Conference on Information Technology and Multimedia (ICIMU)10.1109/ICIMU49871.2020.9243380(44-49)Online publication date: 24-Aug-2020

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  1. "Implicit search feature based approach to assist users in exploratory search tasks" by Chathra Hendahewa, with Prateek Jainas as coordinator

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      cover image ACM SIGWEB Newsletter
      ACM SIGWEB Newsletter  Volume 2015, Issue Autumn
      Autumn 2015
      33 pages
      ISSN:1931-1745
      EISSN:1931-1435
      DOI:10.1145/2833219
      Issue’s Table of Contents
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 03 November 2015
      Published in SIGWEB Volume 2015, Issue Autumn

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      • (2020)Improving Big Data Technologies with Visual Faceted Search2020 8th International Conference on Information Technology and Multimedia (ICIMU)10.1109/ICIMU49871.2020.9243380(44-49)Online publication date: 24-Aug-2020

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