Communications of the ACM
Rutgers Computer Scientists Receive Google Grant to Develop Personalized Data Search System
Two computer scientists have received a Google grant to develop a means of simultaneously searching all of one's personal data sources, including social media pages and email.
Credit: Pepperjam Exchange
Rutgers University computer scientists Amelie Marian and Thu D. Nguyen recently received a $62,500 Google grant to develop a personal data search system that draws from social media pages, email, and other sources.
The smartphone app, which is designed to mimic the way the human brain looks for lost items, retrieves data by making associations and retracing steps in time and space. The system would consolidate many different sources and use them as an online memory pool, and it would search mostly personal account information instead of accessing public data and anticipating searchers.
A search app like the one being proposed "would be very convenient to be able to search all of our data repositories from one app, as opposed to individually searching in Gmail, Facebook, etc.," Nguyen says. The app also could issue reminders when it is time to make appointments and pay bills.
"As technology evolves at a rapid pace, many evolutional leaps occur in academia,’’ says Google's Michael Rennaker. "Professors Marian and Nguyen’s research is unique and forward looking."
From Rutgers University
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