The aim of this project was to develop, implement, and test a task-completion engine that supports humans in solving complex, knowledge-intensive tasks, by providing an integrated environment that caters for all task-related activities (which, to date, are performed using a combination of various tools, applications, and services). The project has developed solutions for formulating information needs by engaging in a dialog with the user, for enabling rich interaction with results, and for learning from past user interactions.
Funding: The project was funded by the ToppForsk-UiS research programme (a research programme for outstanding young researchers, put in place by the University of Stavanger in cooperation with Universitetsfondet); external funding: 4M NOK (~€440K), total project budget: 9.7M NOK (over €1M). It has also received support (50K NOK) from Project Plogen for initial idea development.
Duration: 2014-2019
People:
- Krisztian Balog (PI)
- Shuo Zhang (PhD, graduated in 2019) dissertation: Table Search, Generation and Completion
- Darío Garigliotti (PhD, graduated in 2019 dissertation: Task-Based Support in Search Engines