InfoSeeker Matthew Mitsui attended the 6th Annual New Jersey Big Data Alliance Symposium. The title of the symposium this year was The Future of Big Data: Artificial Intelligence and Machine Learning, and it was hosted at New Jersey City University.
Matthew Mitsui presented “Multi-Faceted Information Seeking Leveraging Big Data” at the symposium. It was co-authored by some of our other InfoSeekers: Souvick Ghosh, Ruoyuan Gao, and Chirag Shah.
Their presentation addressed the complexities of the search process and the multitude of obstacles and issues an information seeker can encounter; viz., information task and resource limitations; information quality; information bias. They identified that those obstacles are often presented to the user through the tools employed during the search process, and their aim was to explore how search tools can be improved in order to foster collaboration with the user and surmount these obstacles. They addressed the need for search tools that can assist the user through three primary approaches: search task assistance, assessing information quality, and counterbalancing bias.