Getting the Information You Need, When You Need It: A Context-aware QA System for Collaborative Learning

摘要

Keeping up with the rapid development in their fields is a problem for many employees nowadays, particularly when the new information is meant to be used for problem solving. Collaborative approaches such as forums and question and answering (Q&A) systems managed to only partly mitigate this problem in cases where time constraints and user mobility are of no crucial concern. We present an enhancement to conventional Q&A applications which relies on user activity detection and question forwarding towards the available users. Our approach obtains a 90% precision in a garage experiment, proving itself as a viable solution for car technicians' time and mobility constraints.